Greg Conn

2.3k citations
18 papers · 1.3k · h-index 12

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Angiogenesis and VEGF in Cancer 3
    • Protein purification and stability 3
    • RNA Interference and Gene Delivery 2
    • Cancer-related gene regulation 2
    • Cancer, Hypoxia, and Metabolism 6

Greg Conn

18 papers receiving 1.3k citations

Peers

Greg Conn
Comparison fields: 5 of 85
  • Cancer Research 299
  • Immunology and Allergy 103
  • Molecular Biology 913
  • Developmental Neuroscience 44
  • Cell Biology 165
Replace Luca Zammataro with:
Luca Zammataro Italy
D. Feng United States
Tom T. Chen United States
Norbert Schuster Germany
Sybille Esser Germany
Dan Hicklin United States
Setsuo Takai Japan
Patrick Auguste France
Kaye L. Stenvers Australia
Martin Erdel Austria
Greg Conn relative to Luca Zammataro Italy Luca Zammataro's profile →
Citations per field
00.5×1.5×
Luca Zammataro · 1×
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

18 of 18 papers shown
#Work
1 1990321
2 1995243
3 1990202
4 198696
5 199785
6 198674
7 198660
8 198458
9 198953
10 201945
11 200429
12 198526
13 200210
14 20239
15 20227
16 20035
17 20032
18 20221

About Greg Conn

Greg Conn is a scholar working on Molecular Biology, Cancer Research, Immunology, Infectious Diseases and Oncology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Immunotherapy and Immune Responses (4 papers), Glycosylation and Glycoproteins Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Protein purification and stability (3 papers), Liver physiology and pathology (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (299 citations), Immunology and Allergy (103 citations), Molecular Biology (913 citations), Developmental Neuroscience (44 citations) and Cell Biology (165 citations). Greg Conn has collaborated with scholars based in United States. Frequent co-authors include Kenneth A. Thomas, Victor B. Hatcher, D.D. Soderman, Kathleen A. Sullivan, Marvin 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 Chromatography B and Journal of Cellular 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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