H.-G. Schaible

1.3k total citations
18 papers, 995 citations indexed

About

H.-G. Schaible is a scholar working on Physiology, Surgery and Pharmacology. According to data from OpenAlex, H.-G. Schaible has authored 18 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Surgery and 5 papers in Pharmacology. Recurrent topics in H.-G. Schaible's work include Pain Mechanisms and Treatments (7 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). H.-G. Schaible is often cited by papers focused on Pain Mechanisms and Treatments (7 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). H.-G. Schaible collaborates with scholars based in Germany and Australia. H.-G. Schaible's co-authors include Robert F. Schmidt, Volker Neugebauer, H. Vanegas, Blair D. Grubb, Natalie J. Gardiner, Andrea Ebersberger, B. Jarrott, P.J. Hope, A.W. Duggan and R.W. Clarke and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Pain.

In The Last Decade

H.-G. Schaible

18 papers receiving 962 citations

Peers

H.-G. Schaible
Comparison fields: 5 of 84
  • Physiology 714
  • Cellular and Molecular Neuroscience 385
  • Pharmacology 267
  • Molecular Biology 195
  • Surgery 147
Replace Hans-Georg Schaible with:
Hans-Georg Schaible Germany
J. G. Collins United States
F. Cervero United Kingdom
J.M. Benoist France
Bernard Calvino France
Lars Jørgen Rygh Norway
P.W. Mantyh United States
Lois J. Kehl United States
T. L. Yaksh United States
S.S. Mokha United States
Hans-Georg Schaible Germany View profile →
Citations per field, relative to H.-G. Schaible
H.-G. Schaible · 1×
Citations per year, relative to H.-G. Schaible
H.-G. Schaible · 1×

Countries citing papers authored by H.-G. Schaible

Since Specialization
Citations

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

Fields of papers citing papers by H.-G. Schaible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-G. Schaible. 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.-G. Schaible. The network helps show where H.-G. Schaible may publish in the future.

Co-authorship network of co-authors of H.-G. Schaible

This figure shows the co-authorship network connecting the top 25 collaborators of H.-G. Schaible. A scholar is included among the top collaborators of H.-G. Schaible based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H.-G. Schaible. H.-G. Schaible is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 9
3 1
4 105
5 20
6 62
7 8
8 42
9 69
10 4
11 177
12 250
13 26
14
Fine Afferent Nerve Fibers and Pain
40
15 4
16 23
17 152
18 2

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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