G L Bennett

2.7k citations
16 papers · 2.4k indexed · 1 hit paper · h-index 14

G L Bennett

16 papers receiving 2.2k citations

Hit Papers

Cloning and expression of cDNAs for two distinct murine t...5071991202620022014100200300400500

Peers

G L Bennett
Comparison fields: 5 of 101
  • Immunology and Allergy 268
  • Hepatology 316
  • Immunology 733
  • Oncology 514
  • Cancer Research 277
Replace Akira Yachi with:
Akira Yachi Japan
Taichi Ezaki Japan
Akihiko Ito Japan
Marcia M. Shull United States
Brigitte N. Gomperts United States
Katherine Siminovitch Canada
Hiroaki Ida Japan
Karen M. Kroeger Australia
Hitoshi Kohsaka Japan
Jessica Foster United States
G L Bennett relative to Akira Yachi Japan Akira Yachi's profile →
Citations per field
00.5×2.7×
Akira Yachi · 1×
Citations per year

Countries citing papers authored by G L Bennett

Since Specialization
Citations

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

Fields of papers citing papers by G L Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 19989
2 199771
3 199765
4
Hepatocyte growth factor and hepatocyte growth factor receptor in the lacrimal gland, tears, and cornea.
1996111
5 199571
6 1992366
7 199245
8 1992247
9 199265
10 1992371
11 1991124
12 199152
13
Cloning and expression of cDNAs for two distinct murine tumor necrosis factor receptors demonstrate one receptor is species specific.breakdown →
1991507
14 1990179
15 198667
16 19753

About G L Bennett

G L Bennett is a scholar working on Hepatology, Immunology and Allergy and Occupational Therapy, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Corneal Surgery and Treatments (2 papers), Immune Response and Inflammation (2 papers), Cell Adhesion Molecules Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ocular Surface and Contact Lens (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology and Allergy (268 citations), Hepatology (316 citations) and Immunology (733 citations). G L Bennett has collaborated with scholars based in United States, Finland and France. Frequent co-authors include Glenn C. Rice, C. Anthony Altar, Napoleone Ferrara, Jane Winer, Lyn B. Jakeman, David V. Goeddel, G H Wong, Louis A. Tartaglia, William I. Wood and Richard Horuk. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Experimental Eye Research, The EMBO Journal and The Journal of Immunology.

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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