Mark D’Souza
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 10
- RNA and protein synthesis mechanisms 6
- Gut microbiota and health 5
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 3
- Genetics top 10%
- Ecology top 10%
- Neurology top 10%
- Physiology top 10%
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- Retinal Diseases and Treatments 8
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- Retinal Imaging and Analysis 4
- Co-authors
- Ross OverbeekMichael FonsteinNatalia MaltsevGordon D. PuschNiels LarsenFolker MeyerAndreas WilkeSabino Liuni
- Cited by
- Molecular BiologyGeneticsEcology
- Journals
- International Journal of Molecular Sciences (2 papers)Translational Vision Science & Technology (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Mark D’Souza
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.7k
- Genetics 282
- Ecology 246
- Neurology 66
- Physiology 34
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 12 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 14 | |
| 5 | 2021 | 55 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 3 | |
| 9 | 2015 | 6 | |
| 10 | 2015 | 56 | |
| 11 | 2014 | 68 | |
| 12 | 2013 | 11 | |
| 13 | 2012 | 63 | |
| 14 | 2012 | 27 | |
| 15 | 2005 | 13 | |
| 16 | 2003 | 70 | |
| 17 | 2000 | 62 | |
| 18 | 1999 | 100 | |
| 19 | 1997 | 248 | |
| 20 | Coherent Backscattering of a Scalar Wave off a Rough Surface | 1996 | 1 |
About Mark D’Souza
Mark D’Souza is a scholar working on Ophthalmology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology and Periodontics, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Retinal Diseases and Treatments (8 papers), RNA and protein synthesis mechanisms (6 papers), Gut microbiota and health (5 papers), Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (4 papers), Retinal Imaging and Analysis (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Genetics (282 citations), Ecology (246 citations), Neurology (66 citations) and Physiology (34 citations). Mark D’Souza has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Ross Overbeek, Michael Fonstein, Natalia Maltsev, Gordon D. Pusch, Niels Larsen, Folker Meyer, Andreas Wilke, Sabino Liuni, Graziano Pesole and Kevin Keegan. Their work appears in journals such as International Journal of Molecular Sciences, Translational Vision Science & Technology, PLoS Computational Biology, Cells and Investigative Ophthalmology & Visual Science.
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.