Samuel M. Feldman

933 citations
28 papers · 669 indexed · h-index 13
Topics
Neural dynamics and brain function (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Neurological disorders and treatments (3 papers)
Partner nations
United StatesCanada

In The Last Decade

Samuel M. Feldman

26 papers receiving 587 citations

Peers

Samuel M. Feldman
Comparison fields: 5 of 94
  • Cognitive Neuroscience 210
  • Cellular and Molecular Neuroscience 185
  • Cardiology and Cardiovascular Medicine 140
  • Surgery 110
  • Physiology 86
Replace Kenneth E. Livingston with:
Kenneth E. Livingston Canada
W.T. Liberson United States
H Scherrer Canada
Lukasz M. Konopka United States
Anna D. Rosen United States
Susan Warren United States
J Barbizet France
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David Coynel Switzerland
Julie Bonner United States
Samuel M. Feldman relative to Kenneth E. Livingston Canada Kenneth E. Livingston's profile →
Citations per field
00.5×3.0×
Kenneth E. Livingston · 1×
Citations per year

Countries citing papers authored by Samuel M. Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel M. Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel M. Feldman. 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 Samuel M. Feldman. The network helps show where Samuel M. Feldman may publish in the future.

Co-authorship network of co-authors of Samuel M. Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel M. Feldman. A scholar is included among the top collaborators of Samuel M. Feldman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel M. Feldman. Samuel M. Feldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 8
3 6
4 33
5 3
6 92
7 9
8 58
9 20
10 13
11 2
12 3
13
Clinical observations with intravenous prostaglandin E1 in peripheral vascular disease.
1
14
Intact adrenocortical responses to sensory stimuli in rats with bilateral somatosensory cortex ablation.
0
15 58
16 87
17 65
18 4
19 28
20 57

About Samuel M. Feldman

Samuel M. Feldman is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 669 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (40 citations), Cognitive Neuroscience (210 citations) and Cellular and Molecular Neuroscience (185 citations). Samuel M. Feldman has collaborated with scholars based in United States and Canada. Frequent co-authors include Hardress J. Waller, Benton J. Underwood, Stephen W. Parker, Robert C. Lieberman, Lucy L. Brown, Anthony J. Bufo, Stephen E. Glickman, Gust H. Bardy, Gary R. Johnson and Diane Smith. Their work appears in journals such as Nature, Science and Circulation.

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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