John L. Mokili
- Virology top 1%
- HIV Research and Treatment 9
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment 6
- HIV/AIDS Research and Interventions 4
- Parasitic Diseases Research and Treatment 3
- Parasitology top 2%
- Ecology top 2%
- Bacteriophages and microbial interactions 3
- Animal Science and Zoology top 2%
-
- vaccines and immunoinformatics approaches 4
- Genomics and Phylogenetic Studies 3
-
- Molecular Junctions and Nanostructures 3
- Co-authors
- Bas E. DutilhForest RohwerRobert A. EdwardsBen FeltsBette KorberRamy K. AzizSavannah E. SanchezKatelyn McNair
- 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
- Virology 680
- Infectious Diseases 1.1k
- Parasitology 292
- Ecology 892
- Animal Science and Zoology 243
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
The 25 scholars most cited alongside John L. Mokili, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 5 | |
| 5 | 2016 | 46 | |
| 6 | 2016 | 48 | |
| 7 | A highly abundant bacteriophage discovered in the unknown sequences of human faecal metagenomesbreakdown → | 2014 | 567 |
| 8 | Metagenomics and future perspectives in virus discoverybreakdown → | 2012 | 419 |
| 9 | 2011 | 3 | |
| 10 | 2006 | 21 | |
| 11 | 2006 | 31 | |
| 12 | 2005 | 27 | |
| 13 | 2005 | 32 | |
| 14 | 2002 | 40 | |
| 15 | 2002 | 31 | |
| 16 | 2001 | 28 | |
| 17 | Microsatellite Markers Reveal a Spectrum of Population Structures in the Malaria Parasite Plasmodium falciparumbreakdown → | 2000 | 625 |
| 18 | 1999 | 32 | |
| 19 | 1996 | 9 | |
| 20 | 1991 | 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), vaccines and immunoinformatics approaches (4 papers), HIV/AIDS Research and Interventions (4 papers), Parasitic Diseases Research and Treatment (3 papers), Bacteriophages and microbial interactions (3 papers), Molecular Junctions and Nanostructures (3 papers) and Genomics and Phylogenetic Studies (3 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.