M. Dam

119.8k citations
112 papers · 3.4k · h-index 33

Impact in

Papers in

M. Dam

101 papers receiving 3.1k citations

Peers

M. Dam
Comparison fields: 5 of 127
  • Psychiatry and Mental health 2.0k
  • Pediatrics, Perinatology and Child Health 1.6k
  • Cellular and Molecular Neuroscience 669
  • Clinical Biochemistry 158
  • Neurology 168
Replace John A. Messenheimer with:
John A. Messenheimer United States
H. Meinardi Netherlands
D. Schmidt Germany
Allan L. Sherwin Canada
Eylert Brodtkorb Norway
Frank Vajda Australia
Jouko Isojärvi Finland
Georgia Montouris United States
L. James Willmore United States
Reetta Kälviäinen Finland
M. Dam relative to John A. Messenheimer United States John A. Messenheimer's profile →
Citations per field
00.5×1.6×
John A. Messenheimer · 1×
Citations per year

Countries citing papers authored by M. Dam

Since Specialization
Citations

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

Fields of papers citing papers by M. Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989336
2 1996160
3 1994146
4 1985144
5 1976135
6 2003128
7 1992117
8 1996117
9 1979109
10 2003102
11 1985100
12 200393
13 199584
14 200581
15 197674
16 200071
17
Retention of 99mTc-bicisate in the human brain after intracarotid injection.
199471
18 198262
19 198459
20 200358

About M. Dam

M. Dam is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Epilepsy research and treatment (58 papers), Pharmacological Effects and Toxicity Studies (44 papers), Neuroscience and Neuropharmacology Research (22 papers), Particle Detector Development and Performance (14 papers), Particle physics theoretical and experimental studies (12 papers), Metabolism and Genetic Disorders (7 papers), Neurological disorders and treatments (4 papers) and Pharmaceutical studies and practices (4 papers). The work is most often cited by research in Psychiatry and Mental health (2.0k citations), Pediatrics, Perinatology and Child Health (1.6k citations), Cellular and Molecular Neuroscience (669 citations), Clinical Biochemistry (158 citations) and Neurology (168 citations). M. Dam has collaborated with scholars based in Denmark, Germany and United Kingdom. Frequent co-authors include Anders Fuglsang‐Frederiksen, E Hvidberg, Lennart Gram, Rigmor Jensen, Lars Friberg, Poul Jennum, Agnete Mouritzen Dam, S. Tigaran, Mauri Reunanen and Jan Christiansen. Their work appears in journals such as Acta Neurologica Scandinavica, Epilepsia, Epilepsy Research, Journal of Instrumentation and 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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