John L. Mokili
- Infectious Diseases top 1%
- Ecology top 2%
- Molecular Biology
- Virology top 1%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Bas E. DutilhForest RohwerRobert A. EdwardsBen FeltsBette KorberRamy K. AzizSavannah E. SanchezKatelyn McNair
- Topics
- HIV Research and Treatment (9 papers)HIV/AIDS drug development and treatment (6 papers)vaccines and immunoinformatics approaches (4 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
John L. Mokili
31 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.1k
- Ecology 892
- Molecular Biology 687
- Virology 680
- Public Health, Environmental and Occupational Health 634
Countries citing papers authored by John L. Mokili
This map shows the geographic impact of John L. Mokili'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 John L. Mokili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Mokili more than expected).
Fields of papers citing papers by John L. Mokili
This network shows the impact of papers produced by John L. Mokili. 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 John L. Mokili. The network helps show where John L. Mokili may publish in the future.
Co-authorship network of co-authors of John L. Mokili
This figure shows the co-authorship network connecting the top 25 collaborators of John L. Mokili. A scholar is included among the top collaborators of John L. Mokili based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John L. Mokili. John L. Mokili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 46 | |
| 6 | 48 | |
| 7 | A highly abundant bacteriophage discovered in the unknown sequences of human faecal metagenomesbreakdown → | 567 |
| 8 | Metagenomics and future perspectives in virus discoverybreakdown → | 419 |
| 9 | 3 | |
| 10 | 21 | |
| 11 | 31 | |
| 12 | 27 | |
| 13 | 32 | |
| 14 | 40 | |
| 15 | 31 | |
| 16 | 28 | |
| 17 | Microsatellite Markers Reveal a Spectrum of Population Structures in the Malaria Parasite Plasmodium falciparumbreakdown → | 625 |
| 18 | 32 | |
| 19 | 9 | |
| 20 | 47 |
About John L. Mokili
John L. Mokili is a scholar working on Virology, Infectious Diseases and General Social Sciences, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (6 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Virology (680 citations), Infectious Diseases (1.1k citations) and Parasitology (292 citations). John L. Mokili has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Bas E. Dutilh, Forest Rohwer, Robert A. Edwards, Ben Felts, Bette Korber, Ramy K. Aziz, Savannah E. Sanchez, Katelyn McNair, Victor Seguritan and Daan R. Speth. Their work appears in journals such as Science, Nature Communications and Bioinformatics.
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.