Eric D. Crown

47 papers receiving 2.6k citations

Peers

Eric D. Crown
Comparison fields: 5 of 94
  • Sensory Systems 363
  • Pathology and Forensic Medicine 995
  • Physiology 1.3k
  • Cellular and Molecular Neuroscience 790
  • Neurology 295
Replace Maria Schäfers with:
Maria Schäfers Germany
Tatsuro Kohno Japan
Ke Ren United States
Grewo Lim United States
Seo Yeon Yoon South Korea
Mieko Kurosawa Japan
Takashi Ueyama Japan
Junichi Kitagawa Japan
Paolo Liberini Italy
Toshihiko Katafuchi Japan
Eric D. Crown relative to Maria Schäfers Germany Maria Schäfers's profile →
Citations per field
00.5×
Maria Schäfers · 1×
Citations per year

Countries citing papers authored by Eric D. Crown

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Crown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Crown. 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 Eric D. Crown. The network helps show where Eric D. Crown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008390
2 2008257
3 2006153
4 2007131
5 2008116
6 2008116
7 2007111
8 200496
9 200684
10 201275
11 200274
12 202073
13 200670
14 200268
15 200055
16 200254
17 201252
18 200148
19 200342
20 200742

About Eric D. Crown

Eric D. Crown is a scholar working on Physiology, Pathology and Forensic Medicine, Hepatology, Cellular and Molecular Neuroscience and Pharmacology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (24 papers), Spinal Cord Injury Research (16 papers), Hepatitis C virus research (10 papers), Musculoskeletal pain and rehabilitation (7 papers), Nerve injury and regeneration (6 papers), Transcranial Magnetic Stimulation Studies (5 papers), Neuroendocrine regulation and behavior (4 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Sensory Systems (363 citations), Pathology and Forensic Medicine (995 citations), Physiology (1.3k citations), Cellular and Molecular Neuroscience (790 citations) and Neurology (295 citations). Eric D. Crown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James W. Grau, Adam R. Ferguson, Claire E. Hulsebosch, Susan M. Carlton, Bryan C. Hains, Robin L. Joynes, Kathia M. Johnson, Young Seob Gwak, Zaiming Ye and Mark O. Urban. Their work appears in journals such as Behavioral Neuroscience, Experimental Neurology, Frontiers in Physiology, Journal of Hepatology and Behavioural 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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