Jon Green

53 papers receiving 1.8k citations

Jon Green's Hit Papers

Prevalence and Correlates of Long COVID Symptoms Among US Adults 2022 · 242 citations
2420+2+4Years since publication50100150200250

Peers

Jon Green
Comparison fields: 5 of 137
  • Infectious Diseases 782
  • Communication 180
  • Animal Science and Zoology 260
  • Hepatology 159
  • Health 129
Replace Wanderson Kleber de Oliveira with:
Wanderson Kleber de Oliveira Brazil
Rhonda G. Kost United States
Angela L. Rasmussen United States
Louis Z. Cooper United States
Sylvie Briand Switzerland
J L Sullivan United States
Kazi Selim Anwar Bangladesh
Christina Coyle United States
Matthew Z. Dudley United States
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Citations per field
00.5×10×16.4×
Wanderson Kleber de Oliveira · 1×
Citations per year

Countries citing papers authored by Jon Green

Since Specialization
Citations

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

Fields of papers citing papers by Jon Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon Green, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Green Line = papers co-authored together Jon Green links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Elusive consensus: Polarization in elite communication on the COVID-19 pandemic
Hit paper breakdown →
2020258
2
Prevalence and Correlates of Long COVID Symptoms Among US Adults
Hit paper breakdown →
2022242
3 1981175
4 2003161
5 2000149
6 2000119
7 200391
8 199985
9 202357
10 200151
11 201839
12 202136
13 202230
14 202029
15 202225
16 202325
17 202422
18 200322
19 201918
20 202217

About Jon Green

Jon Green is a scholar working on Sociology and Political Science, Political Science and International Relations, Communication, Infectious Diseases and Health, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (12 papers), Social Media and Politics (12 papers), Misinformation and Its Impacts (8 papers), Media Influence and Politics (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Vaccine Coverage and Hesitancy (5 papers), Viral Infections and Immunology Research (5 papers) and Gender Politics and Representation (4 papers). The work is most often cited by research in Infectious Diseases (782 citations), Communication (180 citations), Animal Science and Zoology (260 citations), Hepatology (159 citations) and Health (129 citations). Jon Green has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include David Brown, David Lazer, James J. Gray, Ulrich Desselberger, Miren Iturriza‐Gómara, Kelsey Shoub, Katherine Ognyanova, Jared Edgerton, Skyler Cranmer and James Druckman. Their work appears in journals such as Journal of Clinical Microbiology, JAMA Network Open, Public Opinion Quarterly, Political Research Quarterly and Perspectives on Politics.

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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