John Barnabas
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
-
- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 4
- Genetics 8
- Hemoglobinopathies and Related Disorders 8
- Genetic diversity and population structure 3
- Co-authors
- Gary Moore (7 shared papers)Morris Goodman (6 shared papers)Genji Matsuda (5 shared papers)C Müller (1 shared paper)M. Goodman (1 shared paper)Tewodros Assefa Nigussie (1 shared paper)Abreham Berta Aneseyee (1 shared paper)P. K. Ranjekar (3 shared papers)
- Journals
- Die Naturwissenschaften (7 papers)Nature (4 papers)Journal of Biosciences (2 papers)Journal of Theoretical Biology (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
John Barnabas
43 papers receiving 793 citations
Peers
Comparison fields: 5 of 132
- Genetics 142
- Hematology 97
- Genetics 220
- Paleontology 57
- Cell Biology 119
Countries citing papers authored by John Barnabas
This map shows the geographic impact of John Barnabas'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 Barnabas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Barnabas more than expected).
Fields of papers citing papers by John Barnabas
This network shows the impact of papers produced by John Barnabas. 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 Barnabas. The network helps show where John Barnabas may publish in the future.
Co-authors
The 25 scholars most cited alongside John Barnabas, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1973 | 127 | |
| 2 | 1974 | 111 | |
| 3 | 1973 | 106 | |
| 4 | 1971 | 94 | |
| 5 | 1962 | 93 | |
| 6 | 2021 | 50 | |
| 7 | 1972 | 31 | |
| 8 | 2010 | 25 | |
| 9 | 1965 | 22 | |
| 10 | 1973 | 18 | |
| 11 | 1955 | 18 | |
| 12 | 2010 | 16 | |
| 13 | 1971 | 15 | |
| 14 | 1982 | 15 | |
| 15 | 1953 | 15 | |
| 16 | 1990 | 13 | |
| 17 | 1954 | 13 | |
| 18 | 1965 | 11 | |
| 19 | 1968 | 11 | |
| 20 | 1972 | 10 |
About John Barnabas
John Barnabas is a scholar working on Molecular Biology, Genetics, Hematology, Cell Biology and Plant Science, having authored 48 papers that have together received 896 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Iron Metabolism and Disorders (8 papers), Genomics and Phylogenetic Studies (8 papers), Hemoglobin structure and function (5 papers), Machine Learning in Bioinformatics (4 papers), Blood groups and transfusion (4 papers), Analytical Chemistry and Chromatography (3 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Genetics (142 citations), Hematology (97 citations), Genetics (220 citations), Paleontology (57 citations) and Cell Biology (119 citations). John Barnabas has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Gary Moore, Morris Goodman, Genji Matsuda, C Müller, M. Goodman, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, P. K. Ranjekar, Mohsen Miraftab and S. Krishnan. Their work appears in journals such as Die Naturwissenschaften, Nature, Journal of Biosciences, Journal of Theoretical Biology and Analytical 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.