C. Shaw

5.0k citations
148 papers · 4.0k · h-index 37

Impact in

Papers in

C. Shaw

144 papers receiving 3.8k citations

Peers

C. Shaw
Comparison fields: 5 of 161
  • Aging 207
  • Cellular and Molecular Neuroscience 1.2k
  • Urology 273
  • Rheumatology 476
  • Endocrine and Autonomic Systems 169
Replace Mark Daly with:
Mark Daly United States
C.F. Johnston United Kingdom
William Ollier United Kingdom
Cory Teuscher United States
John L. VandeBerg United States
Wilson Savino Brazil
Sarah A. Robertson Australia
Gene B. Hubbard United States
Mario Stefanini Italy
Hannes Lohi Finland
C. Shaw relative to Mark Daly United States Mark Daly's profile →
Citations per field
00.5×7.8×
Mark Daly · 1×
Citations per year

Countries citing papers authored by C. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by C. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. 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 C. Shaw Line = papers co-authored together C. Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007196
2 1999141
3 2006129
4 2001117
5 2007113
6 2002102
7 199992
8 198980
9 200879
10 200878
11 200474
12 200770
13 199169
14 199268
15 199367
16 199761
17 199261
18 199558
19 200057
20 198657

About C. Shaw

C. Shaw is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Animal Science and Zoology and Social Psychology, having authored 148 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (54 papers), Neurobiology and Insect Physiology Research (24 papers), Receptor Mechanisms and Signaling (23 papers), Antimicrobial Peptides and Activities (10 papers), Neuroendocrine regulation and behavior (9 papers), Hypothalamic control of reproductive hormones (9 papers), Protein Hydrolysis and Bioactive Peptides (9 papers) and Mechanical Circulatory Support Devices (7 papers). The work is most often cited by research in Aging (207 citations), Cellular and Molecular Neuroscience (1.2k citations), Urology (273 citations), Rheumatology (476 citations) and Endocrine and Autonomic Systems (169 citations). C. Shaw has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include C.F. Johnston, D.W. Halton, K. D. Buchanan, Aaron G. Maule, L. Thim, Keith R. Abrams, I. Fairweather, Karen Logan, K.D. Buchanan and Theresa M. Marteau. Their work appears in journals such as Regulatory Peptides, Parasitology, Journal Of Clinical Periodontology, European Journal of Clinical Investigation and Biochemical and Biophysical Research Communications.

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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