William D. Green

2.1k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

William D. Green is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, William D. Green has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in William D. Green's work include Immune Cell Function and Interaction (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Influenza Virus Research Studies (2 papers). William D. Green is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Influenza Virus Research Studies (2 papers). William D. Green collaborates with scholars based in United States and Saudi Arabia. William D. Green's co-authors include Melinda A. Beck, Reem F. Alsukait, Nahar Alazemi, Meera Shekar, Barry M. Popkin, Mohammed Alluhidan, Shufa Du, Christopher H. Herbst, Jennifer Rebeles and Stacey Schultz‐Cherry and has published in prestigious journals such as Immunity, The Journal of Immunology and PLoS ONE.

In The Last Decade

William D. Green

14 papers receiving 1.4k citations

Hit 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.

Individuals with obesity and COVID‐19: A global perspective on the epidemiology and biological relationships

2020 743 citations Barry M. Popkin, Shufa Du et al. Obesity Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William D. Green United States	9	572	376	258	193	157	16	1.4k
Christine French United States	13	673 1.2×	139 0.4×	207 0.8×	208 1.1×	151 1.0×	22	2.2k
Sharon L. McDonnell United States	11	665 1.2×	125 0.3×	207 0.8×	130 0.7×	108 0.7×	18	2.1k
Sarah Hochman United States	17	808 1.4×	223 0.6×	467 1.8×	77 0.4×	140 0.9×	28	1.6k
Carole A. Baggerly United States	9	787 1.4×	122 0.3×	244 0.9×	127 0.7×	102 0.6×	12	2.1k
Mei Ding China	8	876 1.5×	171 0.5×	419 1.6×	120 0.6×	172 1.1×	11	1.5k
Mikaël Chetboun France	8	901 1.6×	245 0.7×	510 2.0×	125 0.6×	75 0.5×	29	1.6k
Dicky L. Tahapary Indonesia	17	211 0.4×	323 0.9×	80 0.3×	254 1.3×	135 0.9×	86	1.4k
Asako Doi Japan	23	257 0.4×	364 1.0×	69 0.3×	212 1.1×	366 2.3×	82	1.6k
Lidia Arcavi Israel	10	212 0.4×	275 0.7×	84 0.3×	227 1.2×	177 1.1×	16	1.2k

Countries citing papers authored by William D. Green

Since Specialization

Citations

This map shows the geographic impact of William D. Green'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 William D. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Green more than expected).

Fields of papers citing papers by William D. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Green. 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 William D. Green. The network helps show where William D. Green may publish in the future.

Co-authorship network of co-authors of William D. Green

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Green. A scholar is included among the top collaborators of William D. Green 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 William D. Green. William D. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Mantooth, Siena M., et al.. (2025). An injectable hydrogel enhances intratumoral retention and antitumor efficacy of cytokine immunotherapy in murine triple negative breast tumor models. Journal of Controlled Release. 383. 113761–113761. 2 indexed citations

Green, William D., Nancy P. Kren, Jennifer L. Modliszewski, et al.. (2025). Enhancer-driven gene regulatory networks reveal transcription factors governing T cell adaptation and differentiation in the tumor microenvironment. Immunity. 58(7). 1725–1741.e9. 6 indexed citations

Green, William D., et al.. (2023). BRD4 and BET proteins regulate CD8 T cell exhaustion in mouse models of cancer. The Journal of Immunology. 210(Supplement_1). 171.07–171.07. 1 indexed citations

Green, William D., Yazan Alwarawrah, Qing Shi, et al.. (2022). Inflammation and Metabolism of Influenza-Stimulated Peripheral Blood Mononuclear Cells From Adults With Obesity Following Bariatric Surgery. The Journal of Infectious Diseases. 227(1). 92–102. 4 indexed citations

Popkin, Barry M., Shufa Du, William D. Green, et al.. (2020). Individuals with obesity and COVID‐19: A global perspective on the epidemiology and biological relationships. Obesity Reviews. 21(11). e13128–e13128. 743 indexed citations breakdown →

Alwarawrah, Yazan, Amanda Nichols, William D. Green, et al.. (2020). Targeting T-cell oxidative metabolism to improve influenza survival in a mouse model of obesity. International Journal of Obesity. 44(12). 2419–2429. 26 indexed citations

Pennington, Edward Ross, et al.. (2018). Mechanisms by Which Dietary Fatty Acids Regulate Mitochondrial Structure-Function in Health and Disease. Advances in Nutrition. 9(3). 247–262. 72 indexed citations

Rebeles, Jennifer, William D. Green, Yazan Alwarawrah, et al.. (2018). Obesity-Induced Changes in T-Cell Metabolism Are Associated With Impaired Memory T-Cell Response to Influenza and Are Not Reversed With Weight Loss. The Journal of Infectious Diseases. 219(10). 1652–1661. 60 indexed citations

Neidich, Scott D., William D. Green, Jennifer Rebeles, et al.. (2017). Increased risk of influenza among vaccinated adults who are obese. International Journal of Obesity. 41(9). 1324–1330. 181 indexed citations

10.

Green, William D. & Melinda A. Beck. (2017). Obesity altered T cell metabolism and the response to infection. Current Opinion in Immunology. 46. 1–7. 75 indexed citations

11.

Green, William D. & Melinda A. Beck. (2017). Obesity Impairs the Adaptive Immune Response to Influenza Virus. Annals of the American Thoracic Society. 14(Supplement_5). S406–S409. 178 indexed citations

12.

Bradham, Karen D., William D. Green, Clay Nelson, et al.. (2016). Estimating relative bioavailability of soil lead in the mouse. Journal of Toxicology and Environmental Health. 79(24). 1179–1182. 26 indexed citations

13.

Sueyoshi, Tatsuya, et al.. (2011). Garlic Extract Diallyl Sulfide (DAS) Activates Nuclear Receptor CAR to Induce the Sult1e1 Gene in Mouse Liver. PLoS ONE. 6(6). e21229–e21229. 31 indexed citations

14.

Green, William D.. (2008). Doing good well : what does (and does not) make sense in the nonprofit world. 4 indexed citations

15.

Green, William D.. (2007). When Minorities Are the Majority/A Challenge to Desegregation, the Challenge for Public Education (Minneapolis, A Case Study).. Forum on public policy. 2007(2).

16.

Green, William D. & Paul E. Damon. (1963). Age of Cornwall, Pennsylvania magnetite ore. Economic Geology. 58(1). 143–145. 1 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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