Neil Pegg

78 total papers · 1.2k total citations
39 papers, 456 citations indexed

About

Neil Pegg is a scholar working on Molecular Biology, Organic Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Neil Pegg has authored 39 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Organic Chemistry and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Neil Pegg's work include Protein Degradation and Inhibitors (16 papers), Chemical Synthesis and Analysis (10 papers) and Prostate Cancer Treatment and Research (9 papers). Neil Pegg is often cited by papers focused on Protein Degradation and Inhibitors (16 papers), Chemical Synthesis and Analysis (10 papers) and Prostate Cancer Treatment and Research (9 papers). Neil Pegg collaborates with scholars based in United Kingdom, United States and Sweden. Neil Pegg's co-authors include Brian Evans, Leo A. Paquette, Andrea Basso, Mark Bradley, Harry Finch, Gerald Pattenden, D. Michael Gill, Christopher M. Rayner, Robin D. Rogers and Nigel Brooks and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Neil Pegg

39 papers receiving 425 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neil Pegg 273 216 83 53 29 39 456
Carl E. Wagner 129 0.5× 198 0.9× 30 0.4× 16 0.3× 13 0.4× 35 491
Stefania Filippeschi 161 0.6× 168 0.8× 155 1.9× 35 0.7× 8 0.3× 31 446
Antonino Suarato 161 0.6× 263 1.2× 126 1.5× 41 0.8× 4 0.1× 20 531
Anand D. Tiwari 218 0.8× 158 0.7× 78 0.9× 17 0.3× 34 1.2× 21 511
Carl R. Illig 262 1.0× 138 0.6× 72 0.9× 7 0.1× 42 1.4× 21 496
Craig S. Harris 207 0.8× 148 0.7× 45 0.5× 21 0.4× 6 0.2× 41 416
Ruyi Jin 159 0.6× 133 0.6× 38 0.5× 17 0.3× 10 0.3× 36 549
Gwénaël Chevé 147 0.5× 261 1.2× 82 1.0× 13 0.2× 8 0.3× 20 546
Ji Yeong Kim 68 0.2× 162 0.8× 49 0.6× 20 0.4× 29 1.0× 39 444
Michał Sabisz 180 0.7× 321 1.5× 156 1.9× 8 0.2× 11 0.4× 20 552

Countries citing papers authored by Neil Pegg

Since Specialization
Citations

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

Fields of papers citing papers by Neil Pegg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil Pegg. 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 Neil Pegg. The network helps show where Neil Pegg may publish in the future.

Co-authorship network of co-authors of Neil Pegg

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Pegg. A scholar is included among the top collaborators of Neil Pegg 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 Neil Pegg. Neil Pegg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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