Nicholas G Reich

15.9k total citations · 4 hit papers
85 papers, 8.2k citations indexed

About

Nicholas G Reich is a scholar working on Modeling and Simulation, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nicholas G Reich has authored 85 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Modeling and Simulation, 31 papers in Epidemiology and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nicholas G Reich's work include COVID-19 epidemiological studies (40 papers), Influenza Virus Research Studies (22 papers) and Data-Driven Disease Surveillance (19 papers). Nicholas G Reich is often cited by papers focused on COVID-19 epidemiological studies (40 papers), Influenza Virus Research Studies (22 papers) and Data-Driven Disease Surveillance (19 papers). Nicholas G Reich collaborates with scholars based in United States, United Kingdom and Thailand. Nicholas G Reich's co-authors include Justin Lessler, Stephen A. Lauer, Qifang Bi, Kyra H. Grantz, Forrest K. Jones, Hannah R. Meredith, Andrew S. Azman, Qulu Zheng, Derek A. T. Cummings and Trish M. Perl and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Nicholas G Reich

83 papers receiving 7.9k citations

Hit Papers

4 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

2020 3.8k citations Stephen A. Lauer, Qifang Bi et al. profile →
Incubation periods of acute respiratory viral infections: a systematic review

2009 611 citations Justin Lessler, Nicholas G Reich et al. profile →
N95 Respirators vs Medical Masks for Preventing Influenza Among Health Care Personnel

2019 305 citations Alexandria Brown, Derek A. T. Cummings et al. profile →
Evaluating epidemic forecasts in an interval format

2021 126 citations Johannes Bracher, Evan L Ray et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicholas G Reich United States	33	3.4k	3.2k	1.8k	1.2k	964	85	8.2k
Pierre‐Yves Boëlle France	56	3.1k 0.9×	4.1k 1.3×	4.4k 2.5×	1.4k 1.2×	928 1.0×	302	12.7k
David N. Fisman Canada	50	3.7k 1.1×	3.0k 0.9×	3.4k 1.9×	1.4k 1.2×	822 0.9×	241	11.8k
Andrew S. Azman United States	32	3.6k 1.1×	3.2k 1.0×	1.2k 0.7×	741 0.6×	942 1.0×	141	7.8k
Jaffar A. Al‐Tawfiq Saudi Arabia	57	7.6k 2.3×	2.1k 0.7×	2.9k 1.7×	2.0k 1.7×	501 0.5×	385	13.3k
Joseph T. Wu Hong Kong	44	4.9k 1.4×	4.9k 1.5×	3.0k 1.7×	920 0.8×	1.6k 1.7×	153	11.1k
Antoine Flahault France	55	2.8k 0.8×	2.0k 0.6×	3.8k 2.2×	2.4k 2.0×	391 0.4×	317	13.4k
Alex R. Cook Singapore	46	2.8k 0.8×	2.6k 0.8×	2.0k 1.1×	1.5k 1.2×	992 1.0×	229	8.8k
Justin Lessler United States	54	6.9k 2.0×	5.9k 1.8×	3.7k 2.1×	3.1k 2.6×	1.6k 1.7×	221	16.4k
Jamie Lopez Bernal United Kingdom	38	4.3k 1.3×	1.5k 0.5×	1.5k 0.8×	707 0.6×	583 0.6×	93	9.8k
Abdullah M. Assiri Saudi Arabia	41	4.6k 1.4×	1.5k 0.5×	1.3k 0.7×	1.2k 1.0×	302 0.3×	156	7.5k

Countries citing papers authored by Nicholas G Reich

Since Specialization

Citations

This map shows the geographic impact of Nicholas G Reich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicholas G Reich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas G Reich more than expected).

Fields of papers citing papers by Nicholas G Reich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas G Reich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicholas G Reich. The network helps show where Nicholas G Reich may publish in the future.

Co-authorship network of co-authors of Nicholas G Reich

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas G Reich. A scholar is included among the top collaborators of Nicholas G Reich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas G Reich. Nicholas G Reich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ray, Evan L, Yijin Wang, Russell D. Wolfinger, & Nicholas G Reich. (2024). Flusion: Integrating multiple data sources for accurate influenza predictions. Epidemics. 50. 100810–100810. 2 indexed citations

Cramer, Estee Y., et al.. (2021). Serological surveys to estimate cumulative incidence of SARS-CoV-2 infection in adults (Sero-MAss study), Massachusetts, July–August 2020: a mail-based cross-sectional study. BMJ Open. 11(8). e051157–e051157. 5 indexed citations

Moran, Kelly R., et al.. (2021). Improving probabilistic infectious disease forecasting through coherence. PLoS Computational Biology. 17(1). e1007623–e1007623. 5 indexed citations

Bracher, Johannes, Evan L Ray, Tilmann Gneiting, & Nicholas G Reich. (2021). Evaluating epidemic forecasts in an interval format. PLoS Computational Biology. 17(2). e1008618–e1008618. 126 indexed citations breakdown →

Brown, Alexandria, Stephen A. Lauer, Christine C. Robinson, et al.. (2020). Evaluating the ALERT algorithm for local outbreak onset detection in seasonal infectious disease surveillance data. Statistics in Medicine. 39(8). 1145–1155. 1 indexed citations

Pollett, Simon, Michael A. Johansson, Matthew Biggerstaff, et al.. (2020). Identification and evaluation of epidemic prediction and forecasting reporting guidelines: A systematic review and a call for action. Epidemics. 33. 100400–100400. 8 indexed citations

Lover, Andrew A., et al.. (2020). FluSense. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 4(1). 1–28. 53 indexed citations

Reich, Nicholas G, Craig McGowan, Teresa K. Yamana, et al.. (2019). Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.. PLoS Computational Biology. 15(11). e1007486–e1007486. 95 indexed citations

Lauer, Stephen A., Krzysztof Sakrejda, Evan L Ray, et al.. (2018). Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010–2014. Proceedings of the National Academy of Sciences. 115(10). E2175–E2182. 50 indexed citations

10.

Ray, Evan L & Nicholas G Reich. (2018). Prediction of infectious disease epidemics via weighted density ensembles. PLoS Computational Biology. 14(2). e1005910–e1005910. 83 indexed citations

11.

Reich, Nicholas G, et al.. (2017). Enriching Students’ Conceptual Understanding of Confidence Intervals: An Interactive Trivia-Based Classroom Activity. The American Statistician. 73(1). 50–55. 6 indexed citations

12.

Sturgeon, Susan R., Nicholas G Reich, Lynnette Leidy Sievert, et al.. (2016). Menopausal vasomotor symptoms and incident breast cancer risk in the Study of Women’s Health Across the Nation. Cancer Causes & Control. 27(11). 1333–1340. 5 indexed citations

13.

Reeves, Katherine W., Susan R. Sturgeon, Nicholas G Reich, et al.. (2015). The Effect of Change in Body Mass Index on Volumetric Measures of Mammographic Density. Cancer Epidemiology Biomarkers & Prevention. 24(11). 1724–1730. 27 indexed citations

14.

Elfawal, Mostafa A., Melissa J. Towler, Nicholas G Reich, Pamela J. Weathers, & Stephen M. Rich. (2015). Dried whole-plant Artemisia annua slows evolution of malaria drug resistance and overcomes resistance to artemisinin. Proceedings of the National Academy of Sciences. 112(3). 821–826. 90 indexed citations

15.

Barney, Lauren E., et al.. (2014). A cell–ECM screening method to predict breast cancer metastasis. Integrative Biology. 7(2). 198–212. 50 indexed citations

16.

Advani, Sonali D., et al.. (2013). Risk Factors for Peripherally Inserted Central Venous Catheter Complications in Children. JAMA Pediatrics. 167(5). 429–429. 148 indexed citations

17.

Popoola, Victor O., Karen C. Carroll, Tracy Ross, et al.. (2013). Impact of Colonization Pressure and Strain Type on Methicillin-Resistant Staphylococcus aureus Transmission in Children. Clinical Infectious Diseases. 57(10). 1458–1460. 20 indexed citations

18.

Milstone, Aaron M., Alexis Elward, Xiaoyan Song, et al.. (2013). Daily chlorhexidine bathing to reduce bacteraemia in critically ill children: a multicentre, cluster-randomised, crossover trial. The Lancet. 381(9872). 1099–1106. 146 indexed citations

19.

Elfawal, Mostafa A., Melissa J. Towler, Nicholas G Reich, et al.. (2012). Dried Whole Plant Artemisia annua as an Antimalarial Therapy. PLoS ONE. 7(12). e52746–e52746. 90 indexed citations

20.

Reich, Nicholas G, Trish M. Perl, Derek A. T. Cummings, & Justin Lessler. (2011). Visualizing Clinical Evidence: Citation Networks for the Incubation Periods of Respiratory Viral Infections. PLoS ONE. 6(4). e19496–e19496. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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