K.‐D. Kniffki

799 citations
20 papers · 578 · h-index 14

Impact in

Papers in

K.‐D. Kniffki

20 papers receiving 550 citations

Peers

K.‐D. Kniffki
Comparison fields: 5 of 77
  • Physiology 326
  • Cellular and Molecular Neuroscience 226
  • Sensory Systems 44
  • Equine 14
  • Oral Surgery 47
Replace Junchao Hu with:
Junchao Hu Switzerland
Donald N. Franz United States
Kiyoshi Tsuchiya Japan
Ismet Danial Nasution Indonesia
David Mayer United States
Lawrence H. Haber United States
Maria Cecı́lia Ferraz de Arruda Veiga Brazil
J. S. Eisenman United States
Akimasa Tashiro Japan
W. Jänig Germany
K.‐D. Kniffki relative to Junchao Hu Switzerland Junchao Hu's profile →
Citations per field
00.5×3.5×
Junchao Hu · 1×
Citations per year

Countries citing papers authored by K.‐D. Kniffki

Since Specialization
Citations

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

Fields of papers citing papers by K.‐D. Kniffki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.‐D. Kniffki. 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 K.‐D. Kniffki. The network helps show where K.‐D. Kniffki may publish in the future.

Co-authors

The 16 scholars most cited alongside K.‐D. Kniffki, 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 K.‐D. Kniffki Line = papers co-authored together K.‐D. Kniffki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1985186
2 198768
3 198360
4 198956
5 198927
6 198125
7 199320
8 199220
9 198817
10 198716
11 199615
12 199413
13 199313
14 199313
15 19967
16 19966
17
Studies on the presence and functional properties of afferent C-fibers in the cat's dental pulp.
19926
18 19975
19 19934
20 19981

About K.‐D. Kniffki

K.‐D. Kniffki is a scholar working on Cellular and Molecular Neuroscience, Physiology, Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 578 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Neuroscience and Neural Engineering (5 papers), Laser Applications in Dentistry and Medicine (3 papers), Dental Anxiety and Anesthesia Techniques (2 papers), stochastic dynamics and bifurcation (2 papers), Salivary Gland Disorders and Functions (2 papers), Complex Systems and Time Series Analysis (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Physiology (326 citations), Cellular and Molecular Neuroscience (226 citations), Sensory Systems (44 citations), Equine (14 citations) and Oral Surgery (47 citations). K.‐D. Kniffki has collaborated with scholars based in Germany, Finland and Russia. Frequent co-authors include A. D. Craig, Erkki Jyväsjärvi, Kazue Mizumura, Christiane Vahle-Hinz, J. Brüggemann, Detlef Siemen, W Vogel, Scott L. Sailer, Patrizia Tosi and Malte Meesmann. Their work appears in journals such as The Journal of Physiology, Journal of Neurophysiology, Pain, Fractals and The Journal of Comparative Neurology.

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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