Gerrit Botha
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
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- Scientific Computing and Data Management 4
-
- Reproductive tract infections research 3
- Co-authors
- Suresh Maslamoney (2 shared papers)Arvind Varsani (1 shared paper)Darren Patrick Martin (1 shared paper)Ben Murrell (1 shared paper)Venkatesh Kumar (1 shared paper)Philippe Roumagnac (1 shared paper)Etienne Barnard (3 shared papers)Nicola Mulder (10 shared papers)
- Journals
- BMC Bioinformatics (2 papers)PLoS Computational Biology (2 papers)BMC Infectious Diseases (1 paper)Nature Communications (1 paper)Data Science Journal (1 paper)
- Partner nations
- South AfricaUnited StatesSudan
In The Last Decade
Gerrit Botha
26 papers receiving 1.3k citations
Gerrit Botha's Hit Papers
Peers
Comparison fields: 5 of 66
- Microbiology 111
- Animal Science and Zoology 98
- Genetics 179
- Pharmacology 53
- Virology 23
Countries citing papers authored by Gerrit Botha
This map shows the geographic impact of Gerrit Botha'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 Gerrit Botha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerrit Botha more than expected).
Fields of papers citing papers by Gerrit Botha
This network shows the impact of papers produced by Gerrit Botha. 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 Gerrit Botha. The network helps show where Gerrit Botha may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerrit Botha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets Hit paper breakdown → | 2020 | 457 |
| 2 | High-depth African genomes inform human migration and health Hit paper breakdown → | 2020 | 252 |
| 3 | 2017 | 147 | |
| 4 | 2017 | 92 | |
| 5 | 2018 | 41 | |
| 6 | 2017 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 31 | |
| 9 | 2012 | 28 | |
| 10 | 2021 | 25 | |
| 11 | 2023 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2007 | 15 | |
| 15 | Two approaches to gathering text corpora from the WorldWideWeb | 2005 | 11 |
| 16 | 2019 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2019 | 7 |
About Gerrit Botha
Gerrit Botha is a scholar working on Information Systems and Management, Microbiology, Pharmacology, Molecular Biology and Neurology, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Reproductive tract infections research (3 papers), Natural Language Processing Techniques (3 papers), Forensic and Genetic Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Microbiology (111 citations), Animal Science and Zoology (98 citations), Genetics (179 citations), Pharmacology (53 citations) and Virology (23 citations). Gerrit Botha has collaborated with scholars based in South Africa, United States and Sudan. Frequent co-authors include Suresh Maslamoney, Arvind Varsani, Darren Patrick Martin, Ben Murrell, Venkatesh Kumar, Philippe Roumagnac, Etienne Barnard, Nicola Mulder, Katie S. Lennard and Shameem Z. Jaumdally. Their work appears in journals such as BMC Bioinformatics, PLoS Computational Biology, BMC Infectious Diseases, Nature Communications and Data Science Journal.
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.