Gary Elliott

10.1k total citations
22 papers, 1.8k citations indexed

About

Gary Elliott is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gary Elliott has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Gary Elliott's work include Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Pluripotent Stem Cells Research (3 papers). Gary Elliott is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Pluripotent Stem Cells Research (3 papers). Gary Elliott collaborates with scholars based in United States, Ukraine and Canada. Gary Elliott's co-authors include Donna Yanagihara, Harvey Yamane, Susanne Meyer, Sheila Scully, Jilin Sun, Brian Varnum, Alice Tseng, Edison T. Liu, R.W.G. Hunt and Robert Toso and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gary Elliott

22 papers receiving 1.8k citations

Peers

Gary Elliott
Comparison fields: 5 of 90
  • Molecular Biology 930
  • Immunology 612
  • Oncology 440
  • Surgery 239
  • Genetics 233
Kati Elima Finland
Kazushige Sakaguchi Japan
Hiroko Hisha Japan
Barbara D. Wright United States
Gerald Horan United States
Francesc Martí United States
Raphaël Lis United States
Shoham Shivtiel Israel
Monica Autiero Italy
Giuseppina Bonanno Italy
Kati Elima Finland View profile →
Citations per field, relative to Gary Elliott
Gary Elliott · 1×
Citations per year, relative to Gary Elliott
Gary Elliott · 1×

Countries citing papers authored by Gary Elliott

Since Specialization
Citations

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

Fields of papers citing papers by Gary Elliott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Elliott

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 68
2 110
3 21
4 150
5 205
6 2
7 62
8
Kim, M.R. et al. Transgenic overexpression of human IL-17E results in eosinophilia, B-lymphocyte hyperplasia, and altered antibody production. Blood 100, 2330-2340
2
9 107
10 46
11 94
12 4
13 170
14 3
15 48
16 60
17 407
18 58
19 4
20 4

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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