Simon G. Webster

96 papers receiving 4.4k citations

Peers

Simon G. Webster
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 3.6k
  • Aquatic Science 1.2k
  • Ecology 2.3k
  • Immunology 1.1k
  • Insect Science 645
Replace J. Sook Chung with:
J. Sook Chung United States
Ernest S. Chang United States
Klaus W. Beyenbach United States
Donald L. Mykles United States
Okitsugu Yamashita Japan
William G. Bendena Canada
Scott F. Cummins Australia
Tomer Ventura Australia
Frank Hauser Denmark
Geoffrey M. Coast United Kingdom
Simon G. Webster relative to J. Sook Chung United States J. Sook Chung's profile →
Citations per field
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J. Sook Chung · 1×
Citations per year

Countries citing papers authored by Simon G. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Simon G. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon G. Webster. 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 Simon G. Webster. The network helps show where Simon G. Webster may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011283
2 1999264
3 1999213
4 1996168
5 1996158
6 1986153
7 2001148
8 2013137
9 2003132
10 2001124
11 2005122
12 2000122
13 1991114
14 1993108
15 198895
16 199392
17
Neuropeptides inhibiting growth and reproduction in crustaceans.
199888
18 198684
19 200181
20 200577

About Simon G. Webster

Simon G. Webster is a scholar working on Cellular and Molecular Neuroscience, Ecology, Aquatic Science, Immunology and Genetics, having authored 96 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (73 papers), Crustacean biology and ecology (40 papers), Aquaculture Nutrition and Growth (24 papers), Invertebrate Immune Response Mechanisms (19 papers), Insect and Arachnid Ecology and Behavior (16 papers), Insect Utilization and Effects (9 papers), Physiological and biochemical adaptations (6 papers) and Insect Resistance and Genetics (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Aquatic Science (1.2k citations), Ecology (2.3k citations), Immunology (1.1k citations) and Insect Science (645 citations). Simon G. Webster has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include J. Sook Chung, Heinrich Dircksen, Geoffrey M. Coast, Rainer Keller, Huw H. Rees, David Wilcockson, Geoffrey Wainwright, James L. Nation, Mark C. Wilkinson and David A. Schooley. Their work appears in journals such as General and Comparative Endocrinology, Journal of Experimental Biology, Biochemical Journal, Cell and Tissue Research and Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology.

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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