Jaime Acquaviva
- Cancer Research top 10%
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 2
- Genetics top 10%
- Glioma Diagnosis and Treatment 3
- Molecular Biology top 10%
- Heat shock proteins research 13
- ATP Synthase and ATPases Research 6
- Cancer therapeutics and mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
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- Computational Drug Discovery Methods 3
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- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Al CharestDavid A. ProiaJim SangDonald L. SmithChaohua ZhangSuqin HeManuel SequeiraRicky Ngok‐Shun Wong
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Clinical Cancer Research (3 papers)Molecular Cancer Therapeutics (3 papers)Molecular Cancer Research (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jaime Acquaviva
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Cancer Research 184
- Oncology 327
- Genetics 123
- Molecular Biology 750
- Pulmonary and Respiratory Medicine 320
Countries citing papers authored by Jaime Acquaviva
This map shows the geographic impact of Jaime Acquaviva'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 Jaime Acquaviva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Acquaviva more than expected).
Fields of papers citing papers by Jaime Acquaviva
This network shows the impact of papers produced by Jaime Acquaviva. 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 Jaime Acquaviva. The network helps show where Jaime Acquaviva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaime Acquaviva, 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 | 2018 | 8 | |
| 2 | 2015 | 29 | |
| 3 | 2014 | 57 | |
| 4 | 2014 | 40 | |
| 5 | 2014 | 79 | |
| 6 | 2014 | 31 | |
| 7 | 2014 | 1 | |
| 8 | 2013 | 53 | |
| 9 | 2013 | 174 | |
| 10 | 2013 | 46 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 83 | |
| 13 | 2012 | 50 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2011 | 8 | |
| 18 | 2010 | 26 | |
| 19 | 2009 | 172 | |
| 20 | 2008 | 151 |
About Jaime Acquaviva
Jaime Acquaviva is a scholar working on Genetics, Molecular Biology and Computational Theory and Mathematics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heat shock proteins research (13 papers), ATP Synthase and ATPases Research (6 papers), Cancer therapeutics and mechanisms (3 papers), Computational Drug Discovery Methods (3 papers), Glioma Diagnosis and Treatment (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (184 citations), Oncology (327 citations) and Genetics (123 citations). Jaime Acquaviva has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Al Charest, David A. Proia, Jim Sang, Donald L. Smith, Chaohua Zhang, Suqin He, Manuel Sequeira, Ricky Ngok‐Shun Wong, Richard C. Bates and Julie C. Friedland. Their work appears in journals such as Clinical Cancer Research, Molecular Cancer Therapeutics, Molecular Cancer Research, Blood and Cancer Research.
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.