K. Dannehl

1.3k citations
22 papers · 1.1k · h-index 15

Impact in

Papers in

K. Dannehl

21 papers receiving 1.0k citations

Peers

K. Dannehl
Comparison fields: 5 of 84
  • Biological Psychiatry 120
  • Behavioral Neuroscience 81
  • Cardiology and Cardiovascular Medicine 456
  • Internal Medicine 21
  • Endocrinology, Diabetes and Metabolism 96
Replace Ulf Herold with:
Ulf Herold Germany
Rosario S. Spada Italy
John H. Feibel United States
Marcel E. Lechin Venezuela
Gerard Blasco Spain
Yutaka Endo Japan
T. Thomaides United Kingdom
Maria‐Ioanna Stefanou Greece
Soo Mee Lim South Korea
Serpil Bulut Türkiye
K. Dannehl relative to Ulf Herold Germany Ulf Herold's profile →
Citations per field
00.5×7.4×
Ulf Herold · 1×
Citations per year

Countries citing papers authored by K. Dannehl

Since Specialization
Citations

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

Fields of papers citing papers by K. Dannehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992318
2 1993173
3 1992117
4 201782
5 199952
6 201746
7 201742
8 198837
9
Association of elevated serum uric acid with coronary heart disease in diabetes mellitus.
199331
10 201426
11 201221
12 199321
13 199219
14 198814
15
Natural history of glucose intolerance in obesity. A ten year observation.
198214
16 201813
17 199513
18 201910
19 20149
20
[Diagnostic and prognostic tests--requirements from biostatistical viewpoint].
19832

About K. Dannehl

K. Dannehl is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Biological Psychiatry, Endocrinology, Diabetes and Metabolism and Neurology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (4 papers), Tryptophan and brain disorders (4 papers), Diabetes Management and Research (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Pain Mechanisms and Treatments (3 papers), Stress Responses and Cortisol (3 papers), Diet and metabolism studies (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Biological Psychiatry (120 citations), Behavioral Neuroscience (81 citations), Cardiology and Cardiovascular Medicine (456 citations), Internal Medicine (21 citations) and Endocrinology, Diabetes and Metabolism (96 citations). K. Dannehl has collaborated with scholars based in Germany and Sweden. Frequent co-authors include F. A. Gries, Dan Ziegler, H Mühlen, M. Spüler, Frank Euteneuer, Winfried Rief, P. Mayer, Georg Laux, Adriana del Rey and Harald Engler. Their work appears in journals such as Diabetic Medicine, Hormone and Metabolic Research, Psychotherapy and Psychosomatics, Journal of Neurology Neurosurgery & Psychiatry and Diabetologia.

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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