Richard M. Neve
- Oncology top 1%
- HER2/EGFR in Cancer Research 9
- Cancer Cells and Metastasis 8
- Cancer-related Molecular Pathways 6
- Cancer Research top 2%
- Molecular Biology top 2%
- Cancer-related gene regulation 6
- PI3K/AKT/mTOR signaling in cancer 5
- Melanoma and MAPK Pathways 4
- Cell Biology top 2%
- Immunology and Allergy top 2%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Cell Image Analysis Techniques 6
- Co-authors
- Joe W. GrayNancy E. HynesHeidi A. LaneEva LinJeff SettlemanGenee Y. LeePaul T. SpellmanJ.M. Daly
- Journals
- Nature (3 papers)Science (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Richard M. Neve
53 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Oncology 2.3k
- Cancer Research 761
- Molecular Biology 2.8k
- Cell Biology 651
- Immunology and Allergy 218
Countries citing papers authored by Richard M. Neve
This map shows the geographic impact of Richard M. Neve'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 Richard M. Neve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Neve more than expected).
Fields of papers citing papers by Richard M. Neve
This network shows the impact of papers produced by Richard M. Neve. 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 Richard M. Neve. The network helps show where Richard M. Neve may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard M. Neve, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2018 | 21 | |
| 4 | 2016 | 185 | |
| 5 | 2015 | 6 | |
| 6 | 2014 | 125 | |
| 7 | 2014 | 116 | |
| 8 | 2012 | 22 | |
| 9 | 2010 | 277 | |
| 10 | 2009 | 111 | |
| 11 | 2009 | 26 | |
| 12 | The morphologies of breast cancer cell lines in three-dimensional assays correlate with \ntheir profiles of gene expressionbreakdown → | 2008 | 809 |
| 13 | 2006 | 7 | |
| 14 | 2004 | 6 | |
| 15 | 2002 | 90 | |
| 16 | 2001 | 138 | |
| 17 | 2001 | 51 | |
| 18 | 2000 | 35 | |
| 19 | 2000 | 253 | |
| 20 | 1996 | 15 |
About Richard M. Neve
Richard M. Neve is a scholar working on Biophysics, Oncology and Immunology and Allergy, having authored 53 papers that have together received 4.7k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Cancer Cells and Metastasis (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer-related gene regulation (6 papers), Cell Image Analysis Techniques (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Melanoma and MAPK Pathways (4 papers). The work is most often cited by research in Oncology (2.3k citations), Cancer Research (761 citations) and Molecular Biology (2.8k citations). Richard M. Neve has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Joe W. Gray, Nancy E. Hynes, Heidi A. Lane, Eva Lin, Jeff Settleman, Genee Y. Lee, Paul T. Spellman, J.M. Daly, Jeremy R. Semeiks and Mina J. Bissell. Their work appears in journals such as Nature, Science and SHILAP Revista de lepidopterología.
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.