Jon Green

3k citations
55 papers · 1.9k · 3 hit papers · h-index 20

Impact in

Papers in

    • Communication and COVID-19 Impact 7
    • Social Media and Politics 4
    • Vaccine Coverage and Hesitancy 5
    • Gun Ownership and Violence Research 3

Jon Green

54 papers receiving 1.8k citations

Jon Green's Hit Papers

Users choose to engage with more partisan news than they are exposed to on Google Search 2023 · 63 citations
630+2+4Years since publication50100150200250

Peers

Jon Green
Comparison fields: 5 of 112
  • Infectious Diseases 598
  • Communication 206
  • Neurology 266
  • Health 111
  • Modeling and Simulation 43
Replace Eric J. Haas with:
Eric J. Haas United States
Reinhard Kaiser Germany
Nicholas Greig Evans United States
Luisa Enria United Kingdom
Alexandra B. Hogan Australia
Shahar Taiber Israel
Dirk Heerwegh Belgium
Sudhir Verma India
Rozlyn Redd United Kingdom
Nathaniel M. Lewis United States
Jon Green relative to Eric J. Haas United States Eric J. Haas's profile →
Citations per field
00.5×5×10×12.7×
Eric J. Haas · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence and Correlates of Long COVID Symptoms Among US Adults
Hit paper breakdown →
2022285
2
Elusive consensus: Polarization in elite communication on the COVID-19 pandemic
Hit paper breakdown →
2020269
3 2003193
4 1981183
5 2000122
6 200393
7 199992
8
Users choose to engage with more partisan news than they are exposed to on Google Search
Hit paper breakdown →
202363
9 200154
10 201845
11 202142
12 201140
13 202234
14 202033
15 202330
16 202229
17 202427
18 200324
19 201921
20 202120

About Jon Green

Jon Green is a scholar working on Communication, Health, Political Science and International Relations, Modeling and Simulation and Sociology and Political Science, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (11 papers), Misinformation and Its Impacts (9 papers), Communication and COVID-19 Impact (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Vaccine Coverage and Hesitancy (5 papers), Social Media and Politics (4 papers), Gun Ownership and Violence Research (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Infectious Diseases (598 citations), Communication (206 citations), Neurology (266 citations), Health (111 citations) and Modeling and Simulation (43 citations). Jon Green has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David M. J. Lazer, David Brown, Katherine Ognyanova, Kelsey Shoub, Jared F. Edgerton, Skyler Cranmer, James N. Druckman, Roy H. Perlis, Matthew Baum and Mauricio Santillana. Their work appears in journals such as JAMA Network Open, Journal of Clinical Microbiology, Political Research Quarterly, Public Opinion Quarterly and Nature.

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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