David P. De Souza
- Parasitology top 2%
- Vector-borne infectious diseases 5
- Immunology top 5%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 7
- Pharmacology top 2%
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 16
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- Cancer, Hypoxia, and Metabolism 8
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- Adipose Tissue and Metabolism 6
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- Research on Leishmaniasis Studies 6
- Mosquito-borne diseases and control 5
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- Trypanosoma species research and implications 6
- Co-authors
- Malcolm J. McConvilleManuel BacaDedreia TullVladimir A. LikićNicos A. NicolaEleanor SaundersDouglas J. HiltonThomas Naderer
- Cited by
- ParasitologyImmunologyOncology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David P. De Souza
84 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 144
- Parasitology 218
- Immunology 638
- Oncology 764
- Pharmacology 204
- Molecular Biology 1.5k
Countries citing papers authored by David P. De Souza
This map shows the geographic impact of David P. De 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 David P. De Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. De Souza more than expected).
Fields of papers citing papers by David P. De Souza
This network shows the impact of papers produced by David P. De 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 David P. De Souza. The network helps show where David P. De Souza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David P. De 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 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 28 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 31 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2016 | 11 | |
| 14 | 2015 | 32 | |
| 15 | 2013 | 10 | |
| 16 | Direct evidence for ArO-S bond cleavage upon inactivation of Pseudomonas aeruginosa arylsulfamates by aryl sulfatase | 2008 | 1 |
| 17 | 2006 | 123 | |
| 18 | 2006 | 134 | |
| 19 | 2004 | 29 | |
| 20 | 1981 | 1 |
About David P. De Souza
David P. De Souza is a scholar working on Parasitology, Microbiology and Cancer Research, having authored 88 papers that have together received 3.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (16 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), Adipose Tissue and Metabolism (6 papers), Research on Leishmaniasis Studies (6 papers), Trypanosoma species research and implications (6 papers), Mosquito-borne diseases and control (5 papers) and Vector-borne infectious diseases (5 papers). The work is most often cited by research in Parasitology (218 citations), Immunology (638 citations) and Oncology (764 citations). David P. De Souza has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Malcolm J. McConville, Manuel Baca, Dedreia Tull, Vladimir A. Likić, Nicos A. Nicola, Eleanor Saunders, Douglas J. Hilton, Thomas Naderer, Louis Fabri and Sandra E. Nicholson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.