Gavin Bennett

31 papers receiving 2.6k citations

Hit Papers

Chondroitinase ABC promotes functional recovery after spinal cord injury 2002 · 1.9k citations
1.9k200220262010201850010001.5k

Peers

Gavin Bennett
Comparison fields: 5 of 100
  • Developmental Neuroscience 658
  • Cellular and Molecular Neuroscience 1.6k
  • Pathology and Forensic Medicine 706
  • Cell Biology 543
  • Neurology 220
Replace Sarah A. Busch with:
Sarah A. Busch United States
Catherine Doller United States
Carla Taveggia Italy
Bernhard K. Mueller Germany
J.S. Rudge United States
Yona Goldshmit Australia
Jae K. Lee United States
Stefano Amadio Italy
Roland H. Friedel United States
Gavin Bennett relative to Sarah A. Busch United States Sarah A. Busch's profile →
Citations per field
00.5×1.5×1.8×
Sarah A. Busch · 1×
Citations per year

Countries citing papers authored by Gavin Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chondroitinase ABC promotes functional recovery after spinal cord injury
Hit paper breakdown →
20021866
2 2009111
3 199898
4 202077
5 202055
6 201949
7 199749
8 202241
9 200132
10 201830
11 199829
12 202126
13 199817
14 201717
15 201916
16 201614
17 201614
18 202012
19 201810
20 20089

About Gavin Bennett

Gavin Bennett is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Oncology, Pharmacology and Immunology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Axon Guidance and Neuronal Signaling (9 papers), Peptidase Inhibition and Analysis (8 papers), HER2/EGFR in Cancer Research (8 papers), Signaling Pathways in Disease (5 papers), Glycosylation and Glycoproteins Research (5 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (658 citations), Cellular and Molecular Neuroscience (1.6k citations), Pathology and Forensic Medicine (706 citations), Cell Biology (543 citations) and Neurology (220 citations). Gavin Bennett has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Lawrence Moon, Reena J. Popat, Stephen B. McMahon, Elizabeth J. Bradbury, James W. Fawcett, Von R. King, Susan D. Brain, Katerine Van Rietschoten, Gemma Mudd and Liuhong Chen. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Bioanalysis and Journal of Medicinal Chemistry.

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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