V. Maier

53 papers receiving 1.4k citations

V. Maier's Hit Papers

Physical Training Improves Endothelial Function in Patients With Chronic Heart Failure 1996 · 521 citations
5210+10+20Years since publication100200300400500

Peers

V. Maier
Comparison fields: 5 of 107
  • Family Practice 49
  • Complementary and alternative medicine 226
  • Cardiology and Cardiovascular Medicine 403
  • Endocrinology, Diabetes and Metabolism 265
  • Behavioral Neuroscience 50
Replace Igor Tauveron with:
Igor Tauveron France
Jiamin Tang China
David A. Fryburg United States
Gary E. Sander United States
Kyung Wan Min South Korea
Eun Roh South Korea
Thiemo Veneman Netherlands
Frode Norheim Norway
G. M. Reaven United States
M. Vincent France
V. Maier relative to Igor Tauveron France Igor Tauveron's profile →
Citations per field
00.5×
Igor Tauveron · 1×
Citations per year

Countries citing papers authored by V. Maier

Since Specialization
Citations

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

Fields of papers citing papers by V. Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Physical Training Improves Endothelial Function in Patients With Chronic Heart Failure
Hit paper breakdown →
1996521
2 1999100
3 201985
4 198960
5 197447
6 199243
7 197843
8 197343
9 197341
10 200238
11 198335
12 198333
13 199230
14 197330
15 198329
16 198523
17 197222
18 201620
19 199517
20 199316

About V. Maier

V. Maier is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (17 papers), Diabetes Treatment and Management (11 papers), Neuropeptides and Animal Physiology (10 papers), Metabolism, Diabetes, and Cancer (7 papers), Receptor Mechanisms and Signaling (7 papers), Diabetes and associated disorders (4 papers), Neuroendocrine regulation and behavior (4 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Family Practice (49 citations), Complementary and alternative medicine (226 citations), Cardiology and Cardiovascular Medicine (403 citations), Endocrinology, Diabetes and Metabolism (265 citations) and Behavioral Neuroscience (50 citations). V. Maier has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Helmut Drexler, Burkhard Hornig, E. F. Pfeiffer, V. Schusdziarra, E F Pfeiffer, Ewert Schulte‐Frohlinde, Roland M. Schmid, M. Claßen, M. Hinz and H. Schatz. Their work appears in journals such as Hormone and Metabolic Research, European Journal of Endocrinology, Diabetologia, Diabetes and Regulatory Peptides.

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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