Gordon Todderud

897 citations
23 papers · 813 · h-index 15

Impact in

Papers in

    • Cell Adhesion Molecules Research 5
    • Protein Kinase Regulation and GTPase Signaling 9
    • Glycosylation and Glycoproteins Research 2
    • Protein Tyrosine Phosphatases 1

Gordon Todderud

23 papers receiving 770 citations

Peers

Gordon Todderud
Comparison fields: 5 of 63
  • Immunology and Allergy 48
  • Molecular Biology 387
  • Biochemistry 31
  • Oncology 101
  • Computational Theory and Mathematics 65
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Citations per year

Countries citing papers authored by Gordon Todderud

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Todderud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991184
2 1990142
3 201069
4
Epidermal growth factor: the receptor and its function.
198943
5 199338
6 199738
7
Altered distribution of phospholipase C-gamma 1 in benign hyperproliferative epidermal diseases.
199234
8 199733
9 198832
10 199230
11 199226
12 199721
13 200519
14 200719
15 199717
16
Elevated membrane association of phospholipase C-gamma 1 in MDA-468 mammary tumor cells.
199214
17 200811
18 200110
19 19888
20 19948

About Gordon Todderud

Gordon Todderud is a scholar working on Immunology and Allergy, Molecular Biology, Immunology, Computational Theory and Mathematics and Organic Chemistry, having authored 23 papers that have together received 813 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cell Adhesion Molecules Research (5 papers), Computational Drug Discovery Methods (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Dermatology and Skin Diseases (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Immunology and Allergy (48 citations), Molecular Biology (387 citations), Biochemistry (31 citations), Oncology (101 citations) and Computational Theory and Mathematics (65 citations). Gordon Todderud has collaborated with scholars based in United States and Canada. Frequent co-authors include Graham F. Carpenter, G Carpenter, Matthew I. Wahl, Sue Goo Rhee, R J Coffey, David L. Page, Mahlon D. Johnson, Carlos L. Arteaga, Kenneth M. Tramposch and Alejandro A. Aruffo. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, ACS Medicinal Chemistry Letters and Journal of Natural Products.

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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