Bernd Heppelmann

1.7k citations
60 papers · 1.5k · h-index 24

Impact in

Papers in

Bernd Heppelmann

60 papers receiving 1.4k citations

Peers

Bernd Heppelmann
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 668
  • Physiology 879
  • Sensory Systems 89
  • Pharmacology 161
  • Genetics 80
Replace Takao Kumazawa with:
Takao Kumazawa Japan
Ryuji Terayama Japan
JD Levine United States
Kathia M. Johnson United States
George T. Somogyi United States
Gisela Segond von Banchet Germany
Sergey G. Khasabov United States
Renée R. Donahue United States
Kenneth D. Cliffer United States
CJ Woolf United Kingdom
Bernd Heppelmann relative to Takao Kumazawa Japan Takao Kumazawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bernd Heppelmann

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Heppelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988113
2 199088
3 199776
4 199164
5 199164
6 199762
7 199859
8 198656
9 199855
10 198847
11
Silent and active nociceptors : structure, functions, and clinical implications
199447
12 199346
13 199545
14 200038
15
Anatomy and histology of joint innervation.
199737
16 199636
17 199933
18 200033
19 200530
20 199830

About Bernd Heppelmann

Bernd Heppelmann is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Surgery and Cell Biology, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (31 papers), Neuropeptides and Animal Physiology (20 papers), Ion channel regulation and function (12 papers), Nerve injury and regeneration (9 papers), Shoulder Injury and Treatment (6 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (668 citations), Physiology (879 citations), Sensory Systems (89 citations), Pharmacology (161 citations) and Genetics (80 citations). Bernd Heppelmann has collaborated with scholars based in Germany, Luxembourg and United Kingdom. Frequent co-authors include Robert F. Schmidt, Ulrike Hanesch, Hans‐Georg Schaible, Gisela Segond von Banchet, Karl Meßlinger, Wolfram F. Neiss, A. D. Craig, Stefan Just, Marlen Petersen and Piers C. Emson. Their work appears in journals such as Brain Research, The Journal of Comparative Neurology, Neuroscience, Pain and Experimental Brain 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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