J. C. Jager

64 papers receiving 1.1k citations

Peers

J. C. Jager
Comparison fields: 5 of 137
  • Microbiology 106
  • Modeling and Simulation 78
  • Epidemiology 417
  • Infectious Diseases 191
  • Virology 41
Replace Birgitte Freiesleben de Blasio with:
Birgitte Freiesleben de Blasio Norway
Ana Beatriz Gorini da Veiga Brazil
John N. Aucott United States
Kristin N. Harper United States
Uri Obolski Israel
Siaw Shi Boon Hong Kong
Jieru Wang China
Li Deng United States
Olivier Uwishema United States
J. C. Jager relative to Birgitte Freiesleben de Blasio Norway Birgitte Freiesleben de Blasio's profile →
Citations per field
00.5×8.2×
Birgitte Freiesleben de Blasio · 1×
Citations per year

Countries citing papers authored by J. C. Jager

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Jager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Jager. 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 J. C. Jager. The network helps show where J. C. Jager may publish in the future.

Co-authors

The 25 scholars most cited alongside J. C. Jager, 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 J. C. Jager Line = papers co-authored together J. C. Jager links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004195
2 1968116
3 200076
4 200361
5 199954
6 199953
7 198946
8 200241
9 200135
10 198134
11 200032
12 199831
13 199427
14
Hepatitis C and injecting drug use: impact, costs and policy options.
200427
15 197625
16 197025
17 199821
18 199920
19 198519
20 197219

About J. C. Jager

J. C. Jager is a scholar working on Epidemiology, Economics and Econometrics, Infectious Diseases, General Health Professions and Microbiology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Impact and Responses (13 papers), HIV/AIDS Research and Interventions (7 papers), Influenza Virus Research Studies (7 papers), Reproductive tract infections research (5 papers), COVID-19 epidemiological studies (4 papers), Global Health Care Issues (4 papers), Pneumonia and Respiratory Infections (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (3 papers). The work is most often cited by research in Microbiology (106 citations), Modeling and Simulation (78 citations), Epidemiology (417 citations), Infectious Diseases (191 citations) and Virology (41 citations). J. C. Jager has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include Maarten J. Postma, Marianne L.L. van Genugten, Marie‐Louise A. Heijnen, Wim J. van der Steen, André J.H.A. Ament, Jeroen N. Struijs, Silvia Evers, Geertrudis A.M. van den Bos, Mirjam Kretzschmar and Reiner Leidl. Their work appears in journals such as Health Policy, AIDS, Statistics in Medicine, PharmacoEconomics and Journal of Theoretical Biology.

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.

Explore authors with similar magnitude of impact