Dennis Higgins

3.6k citations
64 papers · 3.0k · h-index 32

Impact in

Papers in

    • TGF-β signaling in diseases 8
    • Receptor Mechanisms and Signaling 7
    • Axon Guidance and Neuronal Signaling 12
    • Nerve injury and regeneration 11
    • Neuroscience and Neuropharmacology Research 11
    • Neuropeptides and Animal Physiology 11

Dennis Higgins

64 papers receiving 3.0k citations

Peers

Dennis Higgins
Comparison fields: 5 of 121
  • Developmental Neuroscience 470
  • Cellular and Molecular Neuroscience 1.2k
  • Immunology and Allergy 165
  • Cell Biology 436
  • Neurology 198
Replace Hiroaki Asou with:
Hiroaki Asou Japan
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Marı́a T. Berciano Spain
Merja Lakso Finland
John W. Bigbee United States
Victor Nurcombe Australia
Tilo Kunath United Kingdom
M. Thomasset France
Jane E. Bottenstein United States
William W. Schlaepfer United States
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Citations per field
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Citations per year

Countries citing papers authored by Dennis Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003286
2 1995205
3 1997141
4 1990127
5 1991117
6 2000109
7 2002104
8 199292
9 199287
10 198982
11 200282
12 200082
13 199769
14 200169
15 198869
16 198861
17 200157
18 199956
19 200255
20 199854

About Dennis Higgins

Dennis Higgins is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Developmental Neuroscience and Oncology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (12 papers), Nerve injury and regeneration (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Neuropeptides and Animal Physiology (11 papers), TGF-β signaling in diseases (8 papers), Receptor Mechanisms and Signaling (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Developmental Neuroscience (470 citations), Cellular and Molecular Neuroscience (1.2k citations), Immunology and Allergy (165 citations), Cell Biology (436 citations) and Neurology (198 citations). Dennis Higgins has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Pamela J. Lein, Mary I. Johnson, Craig Horbinski, Gary Banker, David A. Bruckenstein, David C. Rueger, Michael D. Garrick, Jerome A. Roth, Marc Charette and Achilles J. Pappano. Their work appears in journals such as Journal of Neuroscience, Developmental Brain Research, Developmental Biology, Journal of Neurochemistry and Circulation Research.

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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