Greg Conn

2.3k citations
17 papers · 1.4k · h-index 13

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 6
    • Glycosylation and Glycoproteins Research 3
    • Protein purification and stability 3
    • Angiogenesis and VEGF in Cancer 3
    • Fibroblast Growth Factor Research 2
    • Cancer-related gene regulation 2

Greg Conn

17 papers receiving 1.3k citations

Peers

Greg Conn
Comparison fields: 5 of 86
  • Cancer Research 314
  • Immunology and Allergy 111
  • Molecular Biology 970
  • Developmental Neuroscience 48
  • Cell Biology 173
Replace Uta Möhle-Steinlein with:
Uta Möhle-Steinlein Austria
Tom T. Chen United States
Norbert Schuster Germany
D. Feng China
Virginie Mattot France
Jackelyn A. Alva United States
Satyajit K. Karnik United States
Kaye L. Stenvers Australia
Sybille Esser Germany
Michael Ian Dorrell United States
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Citations per field
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Citations per year

Countries citing papers authored by Greg Conn

Since Specialization
Citations

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

Fields of papers citing papers by Greg Conn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1990337
2 1995250
3 1990210
4 1986106
5 199789
6 198680
7 198465
8 198664
9 198958
10 201951
11 200432
12 198528
13 200213
14 202310
15 20227
16 20035
17 20032

About Greg Conn

Greg Conn is a scholar working on Cancer Research, Molecular Biology, Hepatology, Immunology and Cell Biology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (3 papers), Immunotherapy and Immune Responses (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Fibroblast Growth Factor Research (2 papers), Cancer-related gene regulation (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Cancer Research (314 citations), Immunology and Allergy (111 citations), Molecular Biology (970 citations), Developmental Neuroscience (48 citations) and Cell Biology (173 citations). Greg Conn has collaborated with scholars based in United States. Frequent co-authors include Victor B. Hatcher, Kenneth A. Thomas, D.D. Soderman, Kathleen A. Sullivan, MARVIN L. BAYNE, Guillermo Giménez‐Gallego, Marie‐Therese Schaeffer, Jerry DiSalvo, Denis D. Soderman and John A. Kessler. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Journal of Cellular Physiology and Journal of Chromatography B.

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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