David Manor

39 papers receiving 750 citations

Peers

David Manor
Comparison fields: 5 of 73
  • Reproductive Medicine 194
  • Cellular and Molecular Neuroscience 93
  • Cognitive Neuroscience 111
  • Sensory Systems 23
  • Physiology 14
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Taketsugu Minami Japan
Androniki Raftogianni Greece
O Föster United Kingdom
Jiwei Yao China
Ph. Richard France
Gilbert A. Burns United States
J. H. Greenberg United States
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Yu‐Ming Chang United States
K. Kocsis Hungary
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Citations per field
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Citations per year

Countries citing papers authored by David Manor

Since Specialization
Citations

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

Fields of papers citing papers by David Manor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Manor. 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 David Manor. The network helps show where David Manor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996197
2 1994114
3 1992112
4 200536
5 201427
6 202027
7 201824
8 201022
9
Muscle fibre necrosis induced by intramuscular injection of drugs.
198921
10 201421
11 201521
12 200813
13 199412
14 199412
15 201011
16 199110
17 199210
18 199310
19 199410
20 200810

About David Manor

David Manor is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Reproductive Medicine and Psychiatry and Mental health, having authored 41 papers that have together received 797 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Coronary Interventions and Diagnostics (7 papers), Motor Control and Adaptation (5 papers), Ion channel regulation and function (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiovascular Function and Risk Factors (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Migraine and Headache Studies (2 papers). The work is most often cited by research in Reproductive Medicine (194 citations), Cellular and Molecular Neuroscience (93 citations), Cognitive Neuroscience (111 citations), Sensory Systems (23 citations) and Physiology (14 citations). David Manor has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Menahem Segal, Avi Karni, Shahar Kol, Shraga Blazer, Marijo G. Kent-First, Ariege Muallem, N. L. First, Ella Gabitov, David Gurwitz and Claire M. Fraser. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, The Journal of Physiology, The World Journal of Biological Psychiatry, Journal of Cognitive Neuroscience and Applied Biochemistry and Biotechnology.

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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