H.P.J. Bennett

119 papers receiving 4.9k citations

Peers

H.P.J. Bennett
Comparison fields: 5 of 140
  • Endocrine and Autonomic Systems 519
  • Behavioral Neuroscience 246
  • Neurology 780
  • Cellular and Molecular Neuroscience 841
  • Physiology 783
Replace Katarzyna M. Dzięgielewska with:
Katarzyna M. Dzięgielewska Australia
Alton L. Steiner United States
Michio Ui Japan
Willi Hunziker Switzerland
Jeffrey K. Harrison United States
Yuzuru Kato Japan
Andrée Krust France
Adrienne M. Gorman Ireland
Catherine Godson Ireland
H. Kato Japan
H.P.J. Bennett relative to Katarzyna M. Dzięgielewska Australia Katarzyna M. Dzięgielewska's profile →
Citations per field
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Katarzyna M. Dzięgielewska · 1×
Citations per year

Countries citing papers authored by H.P.J. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by H.P.J. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009270
2 1981230
3 1982215
4 1980187
5 1990183
6 1977165
7 1992153
8 1999143
9 2008135
10 2009133
11 1973114
12 2011108
13 1998106
14 2006103
15 2017103
16 2001102
17 198689
18 198786
19 197873
20 198171

About H.P.J. Bennett

H.P.J. Bennett is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Endocrinology, Diabetes and Metabolism and Neurology, having authored 120 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (21 papers), Regulation of Appetite and Obesity (16 papers), Receptor Mechanisms and Signaling (15 papers), Amyotrophic Lateral Sclerosis Research (15 papers), Adipose Tissue and Metabolism (11 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Biochemical Analysis and Sensing Techniques (11 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (519 citations), Behavioral Neuroscience (246 citations), Neurology (780 citations), Cellular and Molecular Neuroscience (841 citations) and Physiology (783 citations). H.P.J. Bennett has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Andrew Bateman, Christopher Browne, Samuel Solomon, Colin McMartin, Babykumari P. Chitramuthu, Samuel G. Solomon, David Goltzman, Claude Lazure, Philip J. Lowry and Alexander P. Scott. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Journal of Endocrinology, Biochemical and Biophysical Research Communications and Endocrinology.

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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