Chris Shaw

6.6k citations
261 papers · 5.4k indexed · h-index 39

Impact in

Papers in

Chris Shaw

259 papers receiving 5.3k citations

Peers

Chris Shaw
Comparison fields: 5 of 120
  • Microbiology 2.7k
  • Aging 165
  • Cellular and Molecular Neuroscience 1.7k
  • Molecular Biology 3.1k
  • Immunology 836
Replace Geert Baggerman with:
Geert Baggerman Belgium
Liliane Schoofs Belgium
Richard D. Emes United Kingdom
Matthew Fraser United Kingdom
Karsten Hokamp Ireland
José L. Soulages United States
Ryu Ueda Japan
Elke Clynen Belgium
Ronald J. Nachman United States
Arnold De Loof Belgium
Chris Shaw relative to Geert Baggerman Belgium Geert Baggerman's profile →
Citations per field
00.5×9.0×
Geert Baggerman · 1×
Citations per year

Countries citing papers authored by Chris Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Chris Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Shaw Line = papers co-authored together Chris Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 261 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 2013119
3 199692
4 199691
5 201287
6 200374
7 199569
8 201867
9 199067
10 199667
11 200966
12 199466
13 201766
14 199162
15 201359
16 201956
17 200656
18 200252
19 200652
20 200352

About Chris Shaw

Chris Shaw is a scholar working on Microbiology, Cellular and Molecular Neuroscience, Aging, Molecular Biology and Immunology, having authored 261 papers that have together received 5.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (171 papers), Biochemical and Structural Characterization (115 papers), Neurobiology and Insect Physiology Research (73 papers), Venomous Animal Envenomation and Studies (54 papers), Neuropeptides and Animal Physiology (35 papers), Amphibian and Reptile Biology (31 papers), Invertebrate Immune Response Mechanisms (23 papers) and Neuroendocrine regulation and behavior (17 papers). The work is most often cited by research in Microbiology (2.7k citations), Aging (165 citations), Cellular and Molecular Neuroscience (1.7k citations), Molecular Biology (3.1k citations) and Immunology (836 citations). Chris Shaw has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Tianbao Chen, Mei Zhou, Lei Wang, D.W. Halton, Aaron G. Maule, Brian Walker, Tianbao Chen, Pingfan Rao, C.F. Johnston and Chengbang Ma. Their work appears in journals such as Peptides, Regulatory Peptides, Biochemical and Biophysical Research Communications, Toxins and Molecules.

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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