Bernd Heppelmann

1.6k citations
56 papers · 1.3k · h-index 22

Impact in

Papers in

Bernd Heppelmann

56 papers receiving 1.3k citations

Peers

Bernd Heppelmann
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 611
  • Physiology 789
  • Sensory Systems 93
  • Pharmacology 159
  • Equine 14
Replace Simon Cruwys with:
Simon Cruwys United Kingdom
Takao Kumazawa Japan
Masanori Nasu Japan
A. Bjurholm Sweden
JD Levine United States
Sergey G. Khasabov United States
Ryuji Terayama Japan
Pablo R. Brumovsky Argentina
Kyle M. Baumbauer United States
H.-G. Schaible Germany
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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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198890
2 199771
3 199163
4 199063
5 199159
6 199756
7 199852
8 199851
9
Silent and active nociceptors : structure, functions, and clinical implications
199446
10 198644
11 199342
12 198838
13 200036
14 199634
15 199532
16
Anatomy and histology of joint innervation.
199732
17 200031
18 199931
19 200529
20 199825

About Bernd Heppelmann

Bernd Heppelmann is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Surgery and Cell Biology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (28 papers), Neuropeptides and Animal Physiology (20 papers), Ion channel regulation and function (12 papers), Nerve injury and regeneration (8 papers), Shoulder Injury and Treatment (6 papers), Receptor Mechanisms and Signaling (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Tendon Structure and Treatment (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (611 citations), Physiology (789 citations), Sensory Systems (93 citations), Pharmacology (159 citations) and Equine (14 citations). Bernd Heppelmann has collaborated with scholars based in Germany, Luxembourg and United Kingdom. Frequent co-authors include Maciej Pawlak, Robert F. Schmidt, Ulrike Hanesch, Hans‐Georg Schaible, Gisela Segond von Banchet, Karl Meßlinger, Marlen Petersen, Stefan Just, A. D. Craig and Wolfram F. Neiss. Their work appears in journals such as Brain Research, Neuroscience, The Journal of Comparative Neurology, 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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