John M. Neveu

1.8k total citations
24 papers, 1.4k citations indexed

About

John M. Neveu is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, John M. Neveu has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in John M. Neveu's work include Cellular transport and secretion (5 papers), RNA and protein synthesis mechanisms (5 papers) and Chemical Synthesis and Analysis (3 papers). John M. Neveu is often cited by papers focused on Cellular transport and secretion (5 papers), RNA and protein synthesis mechanisms (5 papers) and Chemical Synthesis and Analysis (3 papers). John M. Neveu collaborates with scholars based in United States, France and Denmark. John M. Neveu's co-authors include William S. Lane, Vivian Hook, Thomas Toneff, Doron C. Greenbaum, Katalin F. Medzihradszky, Matthew Bogyo, Alan Saghatelian, Terry Reisine, Margaret Fahnestock and R. M. Renny Feldman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

John M. Neveu

24 papers receiving 1.4k citations

Peers

John M. Neveu
Comparison fields: 5 of 124
  • Molecular Biology 704
  • Physiology 221
  • Immunology 217
  • Cell Biology 162
  • Cancer Research 149
Replace Petr Bartůněk with:
Petr Bartůněk Czechia
Abdel Aouacheria France
Tetsuya Nakamura Japan
Timothy I. Shaw United States
Karsten Krug Germany
Terrence D. Mulhern Australia
Eugenia Piddini United Kingdom
Hirofumi Doi Japan
Matthew P. Torres United States
Christian D. Kelstrup Denmark
Petr Bartůněk Czechia View profile →
Citations per field, relative to John M. Neveu
John M. Neveu · 1×
Citations per year, relative to John M. Neveu
John M. Neveu · 1×

Countries citing papers authored by John M. Neveu

Since Specialization
Citations

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

Fields of papers citing papers by John M. Neveu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Neveu

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Neveu. A scholar is included among the top collaborators of John M. Neveu 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 John M. Neveu. John M. Neveu 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
# Work Indexed citations
1 1
2 140
3 28
4 50
5 62
6 35
7 214
8 38
9
ABRF ESRG 2005 Study: Identification of Seven Modified Amino Acids by Edman Sequencing
4
10
In vitro pyrogenicity of Gram-positive bacteria--validation of the kit using fresh human whole blood.
6
11 1
12 46
13 137
14
ABRF-ESRG'03: analysis of a PVDF-bound known protein with a homogeneous amino-terminus.
3
15 181
16 17
17 16
18 51
19 11
20 114

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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