P. G. Nelson

3.7k citations
47 papers · 2.9k indexed · h-index 28

Impact in

Papers in

P. G. Nelson

47 papers receiving 2.6k citations

Peers

P. G. Nelson
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 1.9k
  • Developmental Neuroscience 188
  • Cognitive Neuroscience 752
  • Neurology 198
  • Molecular Biology 1.2k
Replace Ann Cornell-Bell with:
Ann Cornell-Bell United States
Hugh P. C. Robinson United Kingdom
Daniel Curtis United States
Ellen F. Barrett United States
Takaichi Fukuda Japan
Cristina Marchetti Italy
Hailing Su United States
Steven A. Prescott Canada
Dax A. Hoffman United States
P. G. Nelson relative to Ann Cornell-Bell United States Ann Cornell-Bell's profile →
Citations per field
00.5×1.5×
Ann Cornell-Bell · 1×
Citations per year

Countries citing papers authored by P. G. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by P. G. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20137
2 200434
3 20017
4 20005
5 2000227
6 200071
7 199472
8 19948
9 1994125
10 1993101
11 199012
12 198943
13
Effects of chronic phenytoin and valproic acid exposure on fetal mouse cortical cultures
19805
14 197950
15 1977463
16 197748
17
Pancreatic islet-cell tumour associated with Cushing's syndrome. Report of a case with estimation of tumour ACTH content.
19752
18 197558
19 196948
20 196329

About P. G. Nelson

P. G. Nelson is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Neuroscience and Neuropharmacology Research (14 papers), Ion channel regulation and function (9 papers), Muscle activation and electromyography studies (7 papers), Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Spinal Cord Injury Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Developmental Neuroscience (188 citations), Cognitive Neuroscience (752 citations), Neurology (198 citations) and Molecular Biology (1.2k citations). P. G. Nelson has collaborated with scholars based in United States, Hungary and Pakistan. Frequent co-authors include M Henkart, Bruce R. Ransom, E. A. Neale, K. Frank, R. Douglas Fields, R. E. Burke, W.F. Rall, Peter E. Latham, Barry J. Richmond and Sheila Nirenberg. Their work appears in journals such as Journal of Neurophysiology, Science, Journal of Cellular Physiology, The Journal of Physiology and The Journal of Cell Biology.

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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