P. Grafe

5.1k citations
99 papers · 4.2k indexed · h-index 38

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 35
    • Neuroscience and Neural Engineering 24
    • Nerve injury and regeneration 10
    • Pain Mechanisms and Treatments 18
    • Adenosine and Purinergic Signaling 12

P. Grafe

99 papers receiving 4.0k citations

Peers

P. Grafe
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 2.6k
  • Sensory Systems 233
  • Neurology 616
  • Physiology 967
  • Physiology 162
Replace Christian Alzheimer with:
Christian Alzheimer Germany
Mamoru Takeda Japan
Jeremy B. Tuttle United States
Andrea L. Meredith United States
Jan Erik Hardebo Sweden
Hideho Higashi Japan
Ted M. Dawson United States
C. William Shuttleworth United States
Francesca R. Fusco Italy
Toni Schneider Germany
P. Grafe relative to Christian Alzheimer Germany Christian Alzheimer's profile →
Citations per field
00.5×1.5×2.0×
Christian Alzheimer · 1×
Citations per year

Countries citing papers authored by P. Grafe

Since Specialization
Citations

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

Fields of papers citing papers by P. Grafe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987293
2 1987261
3 1982251
4 1985213
5 2012178
6 1980153
7 1987152
8 1995104
9 1982104
10 198583
11 199481
12 199177
13 200575
14 199669
15 199769
16 200362
17 200857
18 197557
19 198650
20 199450

About P. Grafe

P. Grafe is a scholar working on Cellular and Molecular Neuroscience, Physiology, Endocrine and Autonomic Systems, Sensory Systems and Neurology, having authored 99 papers that have together received 4.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (43 papers), Neuroscience and Neuropharmacology Research (35 papers), Neuroscience and Neural Engineering (24 papers), Pain Mechanisms and Treatments (18 papers), Cardiac electrophysiology and arrhythmias (13 papers), Adenosine and Purinergic Signaling (12 papers), Nerve injury and regeneration (10 papers) and Neuroscience of respiration and sleep (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Sensory Systems (233 citations), Neurology (616 citations), Physiology (967 citations) and Physiology (162 citations). P. Grafe has collaborated with scholars based in Germany, United Kingdom and Czechia. Frequent co-authors include Hugh Bostock, Klaus Ballanyi, G. ten Bruggencate, Stefan Quasthoff, Christian Mayer, Mark D. Baker, Philipp Martius, Jackie D. Wood, M. Galvan and Holger Wigström. Their work appears in journals such as The Journal of Physiology, Muscle & Nerve, Neuroscience, Pflügers Archiv - European Journal of Physiology and Glia.

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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