| Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) R Li*, S Pei*, B Chen*, Y Song, T Zhang, W Yang, J Shaman Science 368 (6490), 489-493, 2020 | 4490 | 2020 |
| Searching for superspreaders of information in real-world social media S Pei, L Muchnik, JS Andrade Jr, Z Zheng, HA Makse Scientific Reports 4, 5547, 2014 | 443 | 2014 |
| Differential Effects of Intervention Timing on COVID-19 Spread in the United States S Pei, S Kandula, J Shaman Science Advances 6 (49), eabd6370, 2020 | 391 | 2020 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 311* | 2022 |
| Origins of power-law degree distribution in the heterogeneity of human activity in social networks L Muchnik*, S Pei*, LC Parra*, SDS Reis, JS Andrade Jr, S Havlin, ... Scientific Reports 3, 1783, 2013 | 274 | 2013 |
| Spreading dynamics in complex networks S Pei, HA Makse Journal of Statistical Mechanics: Theory and Experiment 2013 (12), P12002, 2013 | 272 | 2013 |
| Acceptance of and preference for COVID-19 vaccination in healthcare workers: a comparative analysis and discrete choice experiment C Fu, Z Wei, F Zhu, S Pei, S Li, L Zhang, X Sun, Y Wu, P Liu, M Jit MedRxiv, 2020.04. 09.20060103, 2020 | 201 | 2020 |
| Burden and characteristics of COVID-19 in the United States during 2020 S Pei, TK Yamana, S Kandula, M Galanti, J Shaman Nature 598 (7880), 338-341, 2021 | 191 | 2021 |
| Forecasting the spatial transmission of influenza in the United States S Pei, S Kandula, W Yang, J Shaman Proceedings of the National Academy of Sciences 115 (11), 2752-2757, 2018 | 170 | 2018 |
| Role of meteorological factors in the transmission of SARS-CoV-2 in the United States Y Ma, S Pei, J Shaman, R Dubrow, K Chen Nature Communications 12 (1), 3602, 2021 | 144 | 2021 |
| Initial simulation of SARS-CoV2 spread and intervention effects in the continental US S Pei, J Shaman MedRxiv, https://doi.org/10.1101/2020.03.21.20040, 2020 | 106 | 2020 |
| Efficient collective influence maximization in cascading processes with first-order transitions S Pei, X Teng, J Shaman, F Morone, HA Makse Scientific Reports 7, 45240, 2017 | 77 | 2017 |
| Exploring the complex pattern of information spreading in online blog communities S Pei, L Muchnik, S Tang, Z Zheng, HA Makse PLoS ONE 10 (5), e0126894, 2015 | 76 | 2015 |
| Compound Risks of Hurricane Evacuation Amid the COVID‐19 Pandemic in the United States S Pei*, KA Dahl*, TK Yamana, R Licker, J Shaman GeoHealth, e2020GH000319, 2020 | 72 | 2020 |
| Theories for influencer identification in complex networks S Pei, F Morone, HA Makse Complex Spreading Phenomena in Social Systems, 125-148, 2018 | 69 | 2018 |
| A spatiotemporal tool to project hospital critical care capacity and mortality from COVID-19 in US counties A Zebrowski, A Rundle, S Pei, T Yaman, W Yang, BG Carr, S Sims, ... American Journal of Public Health 111 (6), 1113-1122, 2021 | 64* | 2021 |
| The rumor diffusion process with emerging independent spreaders in complex networks W Li, S Tang, S Pei, S Yan, S Jiang, X Teng, Z Zheng Physica A: Statistical Mechanics and its Applications 397, 121-128, 2014 | 64 | 2014 |
| Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks X Teng, S Pei, F Morone, HA Makse Scientific Reports 6, 36043, 2016 | 63 | 2016 |
| Projection of COVID-19 cases and deaths in the US as individual states re-open May 4, 2020 T Yamana, S Pei, S Kandula, J Shaman MedRxiv, 2020.05. 04.20090670, 2020 | 58 | 2020 |
| Evaluation of mechanistic and statistical methods in forecasting influenza-like illness S Kandula, T Yamana, S Pei, W Yang, H Morita, J Shaman Journal of The Royal Society Interface 15 (144), 20180174, 2018 | 55 | 2018 |
Jeffrey ShamanColumbia University確認したメール アドレス: columbia.edu
