John W. Bigbee
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
Papers in
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- Nerve injury and regeneration 15
-
- Glycosylation and Glycoproteins Research 4
- Co-authors
- Lawrence F. Eng (10 shared papers)George H. DeVries (10 shared papers)Karun Sharma (7 shared papers)J.H.N. Deck (2 shared papers)Jeffrey L. Dupree (4 shared papers)Carmen Sato‐Bigbee (6 shared papers)Susan Robinson (2 shared papers)Jun Yoshino (4 shared papers)
- Journals
- Brain Research (5 papers)The Journal of Cell Biology (3 papers)Journal of Neurocytology (3 papers)Glia (3 papers)Neurochemical Research (3 papers)
- Partner nations
- United StatesTürkiyeJapan
In The Last Decade
John W. Bigbee
75 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 117
- Developmental Neuroscience 337
- Sensory Systems 213
- Cellular and Molecular Neuroscience 785
- Neurology 231
- Pharmacology 381
Countries citing papers authored by John W. Bigbee
This map shows the geographic impact of John W. Bigbee'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 John W. Bigbee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Bigbee more than expected).
Fields of papers citing papers by John W. Bigbee
This network shows the impact of papers produced by John W. Bigbee. 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 John W. Bigbee. The network helps show where John W. Bigbee may publish in the future.
Co-authors
The 25 scholars most cited alongside John W. Bigbee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 229 | |
| 2 | 1978 | 225 | |
| 3 | 2004 | 155 | |
| 4 | 2012 | 146 | |
| 5 | 1988 | 146 | |
| 6 | 2010 | 134 | |
| 7 | 1978 | 121 | |
| 8 | 2008 | 118 | |
| 9 | 2017 | 117 | |
| 10 | 2014 | 107 | |
| 11 | 2001 | 88 | |
| 12 | 1977 | 82 | |
| 13 | 2000 | 78 | |
| 14 | 1987 | 71 | |
| 15 | 1999 | 69 | |
| 16 | 1994 | 68 | |
| 17 | 1987 | 67 | |
| 18 | 2007 | 65 | |
| 19 | 1983 | 49 | |
| 20 | 1998 | 46 |
About John W. Bigbee
John W. Bigbee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Developmental Neuroscience and Physiology, having authored 76 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (15 papers), Cholinesterase and Neurodegenerative Diseases (15 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Pesticide Exposure and Toxicity (8 papers), Pain Mechanisms and Treatments (7 papers), Cancer Treatment and Pharmacology (5 papers), Cell Adhesion Molecules Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Developmental Neuroscience (337 citations), Sensory Systems (213 citations), Cellular and Molecular Neuroscience (785 citations), Neurology (231 citations) and Pharmacology (381 citations). John W. Bigbee has collaborated with scholars based in United States, Türkiye and Japan. Frequent co-authors include Lawrence F. Eng, George H. DeVries, Karun Sharma, J.H.N. Deck, Jeffrey L. Dupree, Carmen Sato‐Bigbee, Susan Robinson, Jun Yoshino, Woon N. Chow and David G. Simpson. Their work appears in journals such as Brain Research, The Journal of Cell Biology, Journal of Neurocytology, Glia and Neurochemical 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.