G.R. Wyatt

105 papers receiving 5.8k citations

G.R. Wyatt's Hit Papers

The Biochemistry of Insect Hemolymph 1961 · 358 citations
3580+25+50Years since publication250500750

Peers

G.R. Wyatt
Comparison fields: 5 of 124
  • Insect Science 2.2k
  • Cellular and Molecular Neuroscience 2.6k
  • Genetics 1.8k
  • Physiology 196
  • Aging 71
Replace Shalom W. Applebaum with:
Shalom W. Applebaum Israel
Carroll M. Williams United States
Huw H. Rees United Kingdom
Gerd GÄde South Africa
Klaus W. Beyenbach United States
Kazuei Mita Japan
Chantal Dauphin‐Villemant France
Makio Takeda Japan
Shunji Natori Japan
William G. Bendena Canada
G.R. Wyatt relative to Shalom W. Applebaum Israel Shalom W. Applebaum's profile →
Citations per field
00.5×1.6×
Shalom W. Applebaum · 1×
Citations per year

Countries citing papers authored by G.R. Wyatt

Since Specialization
Citations

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

Fields of papers citing papers by G.R. Wyatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The purine and pyrimidine composition of deoxypentose nucleic acids
Hit paper breakdown →
1951971
2
The Biochemistry of Insect Hemolymph
Hit paper breakdown →
1961358
3 1957288
4 1978257
5 1951183
6 1971143
7 1956142
8 1981142
9 1983130
10 1965129
11 1973118
12 1978116
13 1978115
14 1974107
15 198096
16 196696
17 197990
18 195189
19 195283
20 199683

About G.R. Wyatt

G.R. Wyatt is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Genetics and Ecology, having authored 105 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (65 papers), Insect Utilization and Effects (27 papers), Physiological and biochemical adaptations (20 papers), Insect and Arachnid Ecology and Behavior (20 papers), Insect Resistance and Genetics (11 papers), Animal Behavior and Reproduction (8 papers), Reproductive biology and impacts on aquatic species (7 papers) and Silk-based biomaterials and applications (7 papers). The work is most often cited by research in Insect Science (2.2k citations), Cellular and Molecular Neuroscience (2.6k citations), Genetics (1.8k citations), Physiology (196 citations) and Aging (71 citations). G.R. Wyatt has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include M. L. Pan, George F. Kalf, Bradley N. White, Ralph P. Braun, Ann M. Fallon, Samuel Wyatt, Yasuo Chinzei, James Y. Bradfield, Tarlochan S. Dhadialla and Arthur M. Jungreis. Their work appears in journals such as Journal of Insect Physiology, Archives of Insect Biochemistry and Physiology, Journal of Biological Chemistry, Insect Biochemistry and Molecular Biology and Developmental Biology.

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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