Jan Medlock

3.5k citations
53 papers · 2.4k indexed · h-index 27

Jan Medlock

52 papers receiving 2.3k citations

Peers

Jan Medlock
Comparison fields: 5 of 147
  • Modeling and Simulation 859
  • Infectious Diseases 834
  • Public Health, Environmental and Occupational Health 963
  • Health 206
  • Insect Science 299
Replace Cláudia Torres Codeço with:
Cláudia Torres Codeço Brazil
Yijun Lou Hong Kong
Matthew J. Ferrari United States
Sopon Iamsirithaworn Thailand
Piero Poletti Italy
Shweta Bansal United States
Nina H. Fefferman United States
Maciej F. Boni United Kingdom
Andrea Pugliese Italy
Michael A. Johansson United States
Jan Medlock relative to Cláudia Torres Codeço Brazil Cláudia Torres Codeço's profile →
Citations per field
00.5×1.5×
Cláudia Torres Codeço · 1×
Citations per year

Countries citing papers authored by Jan Medlock

Since Specialization
Citations

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

Fields of papers citing papers by Jan Medlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202122
2 201834
3 201812
4 201629
5 201614
6 201411
7 201419
8 201339
9 201315
10 2012112
11 2011101
12 200938
13 200846
14 200834
15 200716
16 200720
17 200613
18 200530
19 200440
20 2003197

About Jan Medlock

Jan Medlock is a scholar working on Modeling and Simulation, Virology, Infectious Diseases, Public Health, Environmental and Occupational Health and Insect Science, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (20 papers), Mosquito-borne diseases and control (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Evolution and Genetic Dynamics (8 papers), Insect symbiosis and bacterial influences (7 papers), Influenza Virus Research Studies (6 papers), Vaccine Coverage and Hesitancy (6 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Modeling and Simulation (859 citations), Infectious Diseases (834 citations), Public Health, Environmental and Occupational Health (963 citations), Health (206 citations) and Insect Science (299 citations). Jan Medlock has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Alison P. Galvani, Mark Kot, Abhishek Pandey, Martial L. Ndeffo-Mbah, Timothy C. Reluga, Paula M. Luz, Lauren Ancel Meyers, Katherine E. Atkins, Jeffrey P. Townsend and A. David Paltiel. Their work appears in journals such as PLoS neglected tropical diseases, Science, Proceedings of the National Academy of Sciences, Epidemiology and Infection and Mathematical Biosciences & Engineering.

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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