David M. Neville

16.6k citations
143 papers · 13.6k indexed · 8 hit papers · h-index 55
Topics
Toxin Mechanisms and Immunotoxins (69 papers)Transgenic Plants and Applications (43 papers)Monoclonal and Polyclonal Antibodies Research (23 papers)

In The Last Decade

David M. Neville

143 papers receiving 12.2k citations

Hit Papers

Molecular Weight Determination of Protein-Dodecyl Sulfate...19602026198220041971197419681973197150010001.5k

Peers

David M. Neville
Comparison fields: 5 of 157
  • Molecular Biology 6.9k
  • Surgery 2.9k
  • Immunology 2.8k
  • Physiology 1.8k
  • Endocrinology, Diabetes and Metabolism 1.7k
Replace Kazumitsu Ueda with:
Kazumitsu Ueda Japan
Robert T. Abraham United States
Takashi Tsuruo Japan
Jeffrey C. Rathmell United States
Toshiyuki Miyata Japan
Martin Krönke Germany
Nissim Hay United States
Suresh V. Ambudkar United States
David M. Hockenbery United States
Russell G. Jones Canada
David M. Neville relative to Kazumitsu Ueda Japan Kazumitsu Ueda's profile →
Citations per field
00.5×3.6×
Kazumitsu Ueda · 1×
Citations per year

Countries citing papers authored by David M. Neville

Since Specialization
Citations

This map shows the geographic impact of David M. Neville'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 M. Neville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Neville more than expected).

Fields of papers citing papers by David M. Neville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Neville. 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 M. Neville. The network helps show where David M. Neville may publish in the future.

Co-authorship network of co-authors of David M. Neville

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Neville. A scholar is included among the top collaborators of David M. Neville 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 David M. Neville. David M. Neville 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 43
2 46
3 24
4 39
5 15
6 93
7 83
8 28
9 14
10 174
11 2
12 40
13 5
14 19
15
Bispecific anti-CD3/CD4-CRM9: A novel bifunctional immunotoxin targeting CD3+CD4+T cells
3
16 36
17 51
18 24
19 9
20 274

About David M. Neville

David M. Neville is a scholar working on Biotechnology, Immunology and Transplantation, having authored 143 papers that have together received 13.6k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (69 papers), Transgenic Plants and Applications (43 papers) and Monoclonal and Polyclonal Antibodies Research (23 papers). The work is most often cited by research in Transplantation (601 citations), Biotechnology (1.4k citations) and Immunology (2.8k citations). David M. Neville has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jesse Roth, Hartmut Glossmann, P Freychet, Pierre De Meyts, Richard J. Youle, James R. Gavin, C. Ronald Kahn, C. Ronald Kahn, Donald N. Buell and Maxine A. Lesniak. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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