Richard M. Neve

14.1k citations
53 papers · 4.7k indexed · 2 hit papers · h-index 29
Topics
HER2/EGFR in Cancer Research (9 papers)Cancer Cells and Metastasis (8 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
Journals
NatureScienceSHILAP Revista de lepidopterología

In The Last Decade

Richard M. Neve

53 papers receiving 4.7k citations

Hit Papers

Widespread potential for growth-factor-driven resistance ...200820262014202020122008250500750

Peers

Richard M. Neve
Comparison fields: 5 of 129
  • Molecular Biology 2.8k
  • Oncology 2.3k
  • Cancer Research 761
  • Cell Biology 651
  • Biomedical Engineering 570
Replace Paraic A. Kenny with:
Paraic A. Kenny United States
Haiyen E. Zhau United States
Paul Yaswen United States
Andrew R. Reynolds United Kingdom
Julia Wulfkuhle United States
Patrick W.B. Derksen Netherlands
Monilola A. Olayioye Germany
Andriy Marusyk United States
Suzanne A. Eccles United Kingdom
Venu Raman United States
Richard M. Neve relative to Paraic A. Kenny United States Paraic A. Kenny's profile →
Citations per field
00.5×
Paraic A. Kenny · 1×
Citations per year

Countries citing papers authored by Richard M. Neve

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Richard M. Neve

This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Neve. A scholar is included among the top collaborators of Richard M. Neve based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard M. Neve. Richard M. Neve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 21
4 185
5 6
6 125
7 116
8 22
9 277
10 111
11 26
12
The morphologies of breast cancer cell lines in three-dimensional assays correlate with \ntheir profiles of gene expressionbreakdown →
809
13 7
14 6
15 90
16 138
17 51
18 35
19 253
20 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) and Monoclonal and Polyclonal Antibodies Research (7 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.

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