Junaid Gamieldien
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- Molecular Medicine top 10%
Papers in
-
- Tuberculosis Research and Epidemiology 5
- Genetics 9
- Genomics and Rare Diseases 4
- Genetic Associations and Epidemiology 4
- Co-authors
- Burtram Clinton Fielding (4 shared papers)Michael J. Berry (4 shared papers)Nicolaas C. Gey van Pittius (1 shared paper)Roland J. Siezen (1 shared paper)Albert D. Beyers (1 shared paper)Gordon D. Brown (1 shared paper)Andrey A. Ptitsyn (1 shared paper)Colleen Jayne Saunders (4 shared papers)
- Journals
- Viruses (2 papers)BMC Genomics (2 papers)Scientific Reports (2 papers)BMC Systems Biology (2 papers)Psychiatric Genetics (1 paper)
- Partner nations
- South AfricaUnited StatesSwitzerland
In The Last Decade
Junaid Gamieldien
38 papers receiving 1.6k citations
Junaid Gamieldien's Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 410
- Molecular Medicine 67
- Genetics 326
- Epidemiology 309
- Paleontology 72
Countries citing papers authored by Junaid Gamieldien
This map shows the geographic impact of Junaid Gamieldien'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 Junaid Gamieldien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junaid Gamieldien more than expected).
Fields of papers citing papers by Junaid Gamieldien
This network shows the impact of papers produced by Junaid Gamieldien. 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 Junaid Gamieldien. The network helps show where Junaid Gamieldien may publish in the future.
Co-authors
The 25 scholars most cited alongside Junaid Gamieldien, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The African coelacanth genome provides insights into tetrapod evolution Hit paper breakdown → | 2013 | 552 |
| 2 | 2001 | 306 | |
| 3 | 2015 | 130 | |
| 4 | 2017 | 90 | |
| 5 | 2015 | 57 | |
| 6 | 2015 | 55 | |
| 7 | 2017 | 54 | |
| 8 | 2002 | 54 | |
| 9 | 2014 | 40 | |
| 10 | 2014 | 39 | |
| 11 | 2018 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2018 | 20 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2019 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2022 | 12 |
About Junaid Gamieldien
Junaid Gamieldien is a scholar working on Infectious Diseases, Genetics, Molecular Biology, Orthopedics and Sports Medicine and Neurology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Rare Diseases (4 papers), Genetic Associations and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Computational Drug Discovery Methods (3 papers), Tendon Structure and Treatment (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (410 citations), Molecular Medicine (67 citations), Genetics (326 citations), Epidemiology (309 citations) and Paleontology (72 citations). Junaid Gamieldien has collaborated with scholars based in South Africa, United States and Switzerland. Frequent co-authors include Burtram Clinton Fielding, Michael J. Berry, Nicolaas C. Gey van Pittius, Roland J. Siezen, Albert D. Beyers, Gordon D. Brown, Andrey A. Ptitsyn, Colleen Jayne Saunders, Alan Gilbert Christoffels and William R. Bishai. Their work appears in journals such as Viruses, BMC Genomics, Scientific Reports, BMC Systems Biology and Psychiatric Genetics.
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.