John W. Bigbee

3.3k citations
68 papers · 2.6k indexed · h-index 25

Impact in

Papers in

John W. Bigbee

67 papers receiving 2.5k citations

Peers

John W. Bigbee
Comparison fields: 5 of 115
  • Developmental Neuroscience 309
  • Sensory Systems 198
  • Cellular and Molecular Neuroscience 736
  • Neurology 206
  • Pharmacology 358
Replace Se Jin Hwang with:
Se Jin Hwang South Korea
Douglas A. Lappi United States
Lee Barrett United States
Srinivasulu Chigurupati United States
W. Marie Campana United States
Takeshi Takarada Japan
Ping K. Yip United Kingdom
Rosemary Kraemer United States
Takafumi Wataya Japan
John W. Bigbee relative to Se Jin Hwang South Korea Se Jin Hwang's profile →
Citations per field
00.5×1.6×
Se Jin Hwang · 1×
Citations per year

Countries citing papers authored by John W. Bigbee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with John W. Bigbee Line = papers co-authored together John W. Bigbee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202130
2 202010
3 201923
4 201813
5 201719
6 2017115
7 2014101
8 2010123
9 19991
10 199810
11 19964
12 199623
13 19957
14 199514
15
A nuclear matrix protein stabilized by lead exposure: current knowledge and future prospects.
19935
16 199220
17 19914
18 19905
19 198830
20 198770

About John W. Bigbee

John W. Bigbee is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Pharmacology, Neurology and Immunology and Allergy, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (14 papers), Nerve injury and regeneration (14 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Pain Mechanisms and Treatments (8 papers), Pesticide Exposure and Toxicity (7 papers), Cancer Treatment and Pharmacology (6 papers), Neuropeptides and Animal Physiology (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Developmental Neuroscience (309 citations), Sensory Systems (198 citations), Cellular and Molecular Neuroscience (736 citations), Neurology (206 citations) and Pharmacology (358 citations). John W. Bigbee has collaborated with scholars based in United States, Japan and Türkiye. Frequent co-authors include Lawrence F. Eng, George H. DeVries, Karun Sharma, J.H.N. Deck, Carmen Sato‐Bigbee, Jeffrey L. Dupree, Susan Robinson, Jun Yoshino, David G. Simpson and Raymond J. Colello. Their work appears in journals such as Brain Research, Neurochemical Research, Journal of Neurocytology, Journal of Neurochemistry and Experimental 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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