M. Großmann

541 citations
25 papers · 423 · h-index 12

Impact in

Papers in

M. Großmann

23 papers receiving 397 citations

Peers

M. Großmann
Comparison fields: 5 of 94
  • Psychiatry and Mental health 89
  • Biotechnology 37
  • Hepatology 33
  • Sensory Systems 19
  • Complementary and alternative medicine 31
Replace A. Sengupta with:
A. Sengupta United States
Yusuke Watanabe Japan
Lifei Lian China
Michael D. Seddon United Kingdom
K. Žarković Croatia
Anuradha Chakrabarty United States
Eiji Takeda Japan
Beatriz de Luxán‐Delgado Spain
Naomi Cook Australia
Anca Moțățăianu Romania
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Citations per field
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A. Sengupta · 1×
Citations per year

Countries citing papers authored by M. Großmann

Since Specialization
Citations

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

Fields of papers citing papers by M. Großmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200091
2
Spontaneous regression of hepatocellular carcinoma.
199558
3 201451
4 199341
5 199920
6 200018
7 200517
8 199615
9 199614
10
Plasma levels of soluble CD8 antigen and interleukin-2 receptor antigen in patients with hairy cell leukemia, relationship with splenectomy and with clinical response to therapy.
198914
11 200313
12 198712
13 200611
14 200110
15 200910
16 20018
17 19988
18 19995
19 20012
20 20092

About M. Großmann

M. Großmann is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health and Physiology, having authored 25 papers that have together received 423 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers), Blood Pressure and Hypertension Studies (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Heart Failure Treatment and Management (2 papers), Memory and Neural Mechanisms (2 papers), Pharmaceutical studies and practices (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Psychiatry and Mental health (89 citations), Biotechnology (37 citations), Hepatology (33 citations), Sensory Systems (19 citations) and Complementary and alternative medicine (31 citations). M. Großmann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Jeffrey D. Zajac, Ada S. Cheung, Wilhelm Kirch, Jonathan Lindzey, D. J. Tindall, Michael Skinner, M. Vijay Kumar, M. J. Jamieson, Michael Weiss and Kulbir Mann. Their work appears in journals such as European Journal of Clinical Investigation, Clinical Pharmacology & Therapeutics, European Journal of Clinical Pharmacology, Planta Medica and Endocrine Related Cancer.

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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