Mark D’Souza
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Gut microbiota and health
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 5
- Gene expression and cancer classification 4
- Gut microbiota and health 4
- Bioinformatics and Genomic Networks 4
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- Retinal Diseases and Treatments 6
- Co-authors
- Ross Overbeek (4 shared papers)Michael Fonstein (3 shared papers)Natalia Maltsev (7 shared papers)Gordon D. Pusch (2 shared papers)Niels Larsen (2 shared papers)Folker Meyer (5 shared papers)Andreas Wilke (5 shared papers)Graziano Pesole (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)International Journal of Molecular Sciences (2 papers)Investigative Ophthalmology & Visual Science (2 papers)Cells (2 papers)Translational Vision Science & Technology (2 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Mark D’Souza
28 papers receiving 2.2k citations
Mark D’Souza's Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.6k
- Genetics 292
- Ecology 247
- Neurology 69
- Physiology 36
Countries citing papers authored by Mark D’Souza
This map shows the geographic impact of Mark D’Souza'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 Mark D’Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D’Souza more than expected).
Fields of papers citing papers by Mark D’Souza
This network shows the impact of papers produced by Mark D’Souza. 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 Mark D’Souza. The network helps show where Mark D’Souza may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D’Souza, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The use of gene clusters to infer functional coupling Hit paper breakdown → | 1999 | 1012 |
| 2 | 1997 | 264 | |
| 3 | 2002 | 248 | |
| 4 | 1999 | 114 | |
| 5 | 2014 | 78 | |
| 6 | 2003 | 77 | |
| 7 | 2012 | 69 | |
| 8 | 2000 | 68 | |
| 9 | 2009 | 62 | |
| 10 | 2021 | 60 | |
| 11 | 2015 | 59 | |
| 12 | 2012 | 34 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2005 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2013 | 13 |
About Mark D’Souza
Mark D’Souza is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Ecology and Epidemiology, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Retinal Diseases and Treatments (6 papers), RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (4 papers), Gut microbiota and health (4 papers), Bioinformatics and Genomic Networks (4 papers), Retinal Imaging and Analysis (3 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (292 citations), Ecology (247 citations), Neurology (69 citations) and Physiology (36 citations). Mark D’Souza has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Ross Overbeek, Michael Fonstein, Natalia Maltsev, Gordon D. Pusch, Niels Larsen, Folker Meyer, Andreas Wilke, Graziano Pesole, Travis Harrison and Kevin Keegan. Their work appears in journals such as PLoS Computational Biology, International Journal of Molecular Sciences, Investigative Ophthalmology & Visual Science, Cells and Translational Vision Science & Technology.
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.