Craig E. Higgins

1.4k citations
26 papers · 1.1k · h-index 19

Impact in

Papers in

    • TGF-β signaling in diseases 10
    • Renal and related cancers 3
    • Ubiquitin and proteasome pathways 2
    • Protease and Inhibitor Mechanisms 15

Craig E. Higgins

25 papers receiving 1.1k citations

Peers

Craig E. Higgins
Comparison fields: 5 of 96
  • Cancer Research 297
  • Immunology and Allergy 88
  • Nephrology 90
  • Rehabilitation 63
  • Molecular Biology 467
Replace Anne Sofie Siebuhr with:
Anne Sofie Siebuhr Denmark
Jasper Koerts Netherlands
Jesús Álvarez Spain
Alexis N. Brumwell United States
Vera P. Shively United States
Wenxia Wang China
Peter J. Zwiers Netherlands
Kyung-Tae Kim South Korea
Allen G. Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Craig E. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Craig E. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig E. Higgins. 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 Craig E. Higgins. The network helps show where Craig E. Higgins may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011155
2 2017125
3 200889
4 201469
5 201164
6 200863
7 201956
8 200455
9 200654
10 201041
11 200939
12 200732
13 200630
14 201128
15 200926
16 201225
17 200924
18 201922
19 201519
20 201215

About Craig E. Higgins

Craig E. Higgins is a scholar working on Molecular Biology, Cancer Research, Immunology and Allergy, Oncology and Rehabilitation, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (15 papers), TGF-β signaling in diseases (10 papers), Cell Adhesion Molecules Research (9 papers), Renal and related cancers (3 papers), Peptidase Inhibition and Analysis (3 papers), Ubiquitin and proteasome pathways (2 papers), Wound Healing and Treatments (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (297 citations), Immunology and Allergy (88 citations), Nephrology (90 citations), Rehabilitation (63 citations) and Molecular Biology (467 citations). Craig E. Higgins has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Paul J. Higgins, Stephen P. Higgins, Rohan Samarakoon, Cynthia E. Wilkins-Port, Ralf‐Peter Czekay, Stacie M. Kutz, Jennifer Freytag, Badar M. Mian, David J. Conti and Richard M. Klein. Their work appears in journals such as Cellular Signalling, Journal of Cellular Biochemistry, Journal of Oncology, International Journal of Cell Biology and The FASEB Journal.

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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