David A. Proia
- Oncology top 5%
- Molecular Biology top 5%
- Heat shock proteins research 37
- ATP Synthase and ATPases Research 12
- Cancer therapeutics and mechanisms 5
- Ubiquitin and proteasome pathways 5
- Cancer Research top 5%
- Aging top 10%
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 5
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- Computational Drug Discovery Methods 7
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- Toxin Mechanisms and Immunotoxins 5
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- Effects of Radiation Exposure 5
- Co-authors
- Richard C. BatesCharlotte KuperwasserJim SangSuqin HeDonald L. SmithManuel SequeiraChaohua ZhangJaime Acquaviva
- Journals
- Clinical Cancer Research (6 papers)Cancer Research (5 papers)Molecular Cancer Therapeutics (5 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David A. Proia
57 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 96
- Oncology 945
- Molecular Biology 1.9k
- Cancer Research 362
- Aging 34
- Cell Biology 275
Countries citing papers authored by David A. Proia
This map shows the geographic impact of David A. Proia'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 A. Proia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Proia more than expected).
Fields of papers citing papers by David A. Proia
This network shows the impact of papers produced by David A. Proia. 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 A. Proia. The network helps show where David A. Proia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Proia, 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 | 4 | |
| 2 | 2021 | 9 | |
| 3 | 2018 | 8 | |
| 4 | 2016 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2015 | 29 | |
| 7 | 2015 | 24 | |
| 8 | 2014 | 57 | |
| 9 | 2014 | 40 | |
| 10 | 2014 | 79 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 37 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 53 | |
| 15 | 2013 | 174 | |
| 16 | 2013 | 71 | |
| 17 | 2012 | 83 | |
| 18 | 2011 | 181 | |
| 19 | 2007 | 138 | |
| 20 | 2005 | 38 |
About David A. Proia
David A. Proia is a scholar working on Aging, Molecular Biology and Computational Theory and Mathematics, having authored 57 papers that have together received 2.6k indexed citations. Recurring topics across this work include Heat shock proteins research (37 papers), ATP Synthase and ATPases Research (12 papers), Computational Drug Discovery Methods (7 papers), Toxin Mechanisms and Immunotoxins (5 papers), Cancer therapeutics and mechanisms (5 papers), Ubiquitin and proteasome pathways (5 papers), Effects of Radiation Exposure (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Oncology (945 citations), Molecular Biology (1.9k citations) and Cancer Research (362 citations). David A. Proia has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Richard C. Bates, Charlotte Kuperwasser, Jim Sang, Suqin He, Donald L. Smith, Manuel Sequeira, Chaohua Zhang, Jaime Acquaviva, Yumiko Wada and Ute M. Moll. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Molecular Cancer Therapeutics, Oncotarget and Investigational New Drugs.
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.