Jacob D. Johnson

40 papers receiving 1.5k citations

Peers

Jacob D. Johnson
Comparison fields: 5 of 99
  • Public Health, Environmental and Occupational Health 847
  • Toxicology 57
  • Parasitology 108
  • Computational Theory and Mathematics 167
  • Immunology and Allergy 52
Replace Ivana Türbachova with:
Ivana Türbachova Germany
Julie A. Frearson United Kingdom
David Waterson Switzerland
Leonardo Freire‐de‐Lima Brazil
Jerapan Krungkrai Thailand
Sarah D’Alessandro Italy
Manu De Rycker United Kingdom
Mariano Zalis Brazil
Armin Reichenberg Germany
Prakasha Kempaiah United States
Jacob D. Johnson relative to Ivana Türbachova Germany Ivana Türbachova's profile →
Citations per field
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Ivana Türbachova · 1×
Citations per year

Countries citing papers authored by Jacob D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jacob D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007274
2 200485
3 201180
4 199479
5 201373
6 200865
7 200953
8 199753
9 201050
10 201149
11 200846
12 200942
13 201642
14 201442
15 201139
16 201336
17 200935
18 200933
19 201230
20 200729

About Jacob D. Johnson

Jacob D. Johnson is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics, Molecular Biology, Organic Chemistry and Epidemiology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Computational Drug Discovery Methods (8 papers), Mosquito-borne diseases and control (8 papers), Research on Leishmaniasis Studies (6 papers), Trypanosoma species research and implications (4 papers), Drug Transport and Resistance Mechanisms (3 papers), HIV/AIDS drug development and treatment (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (847 citations), Toxicology (57 citations), Parasitology (108 citations), Computational Theory and Mathematics (167 citations) and Immunology and Allergy (52 citations). Jacob D. Johnson has collaborated with scholars based in United States, Kenya and Thailand. Frequent co-authors include Norman C. Waters, Lucia Gerena, Norma Roncal, Miriam Lopez-Sanchez, Joan M. Cook‐Mills, Hoseah M. Akala, Robert Eisenthal, Ian Goodyer, Dave J. Hayes and Fredrick Eyase. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Malaria Journal, American Journal of Tropical Medicine and Hygiene, Journal of Leukocyte Biology and Journal of Medicinal Chemistry.

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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