Hellmut Mehnert

2.6k citations
170 papers · 2.0k · h-index 23

Impact in

Papers in

Hellmut Mehnert

140 papers receiving 1.6k citations

Peers

Hellmut Mehnert
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 721
  • Biochemistry 266
  • Clinical Biochemistry 136
  • Physiology 441
  • Neurology 169
Replace W. Renn with:
W. Renn Germany
D.W. Erkelens Netherlands
H. Eder United States
Hanoch Bar-On Israel
Steven N. Levine United States
Hector Orrego Canada
Kristian RETT Germany
Norton Spritz United States
Antonio Quatraro Italy
Fabio Capani Italy
Hellmut Mehnert relative to W. Renn Germany W. Renn's profile →
Citations per field
00.5×1.5×2×2.3×
W. Renn · 1×
Citations per year

Countries citing papers authored by Hellmut Mehnert

Since Specialization
Citations

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

Fields of papers citing papers by Hellmut Mehnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999235
2 1999141
3 1980121
4 197656
5
Daily insulin dose as a predictor of macrovascular disease in insulin treated non-insulin-dependent diabetics.
198753
6 199352
7 199151
8 200444
9 199041
10 196439
11 198039
12 195829
13 195929
14 200528
15
Angiotensin converting enzyme inhibitors in diabetes: experimental and human experience.
198628
16 199428
17 197227
18 196725
19 200125
20
Effects of beta-blocking agents on insulin secretion and glucose disposal.
199025

About Hellmut Mehnert

Hellmut Mehnert is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Clinical Biochemistry, Genetics and Biochemistry, having authored 170 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (34 papers), Diet and metabolism studies (30 papers), Diabetes and associated disorders (25 papers), Metabolism, Diabetes, and Cancer (23 papers), Diet, Metabolism, and Disease (22 papers), Diabetes Treatment and Management (21 papers), Metabolism and Genetic Disorders (18 papers) and Pancreatic function and diabetes (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (721 citations), Biochemistry (266 citations), Clinical Biochemistry (136 citations), Physiology (441 citations) and Neurology (169 citations). Hellmut Mehnert has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Eberhard Standl, Matthias WICKLMAYR, Kristian RETT, Hans Uwe Janka, Michael Lobisch, Harald Forster, M. Reljanović, Hans Tritschler, G. Dietze and Günther Dietze. Their work appears in journals such as Journal of Molecular Medicine, Diabetologia, Diabetes Care, Diabetes and Hormone and Metabolic Research.

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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