F. A. Gries

7.0k citations
129 papers · 5.0k · h-index 38

Impact in

Papers in

F. A. Gries

124 papers receiving 4.7k citations

Peers

F. A. Gries
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Physiology 1.2k
  • Biophysics 268
  • Biochemistry 316
Replace Malcolm Lewis with:
Malcolm Lewis United Kingdom
M Condorelli Italy
John Pernow Sweden
Masakazu Kohno Japan
E. Bassenge Germany
PM Vanhoutte United States
Louise McCann United States
Zvonimir S. Katušić United States
Aaron Hoffman Israel
Christian Thuillez France
F. A. Gries relative to Malcolm Lewis United Kingdom Malcolm Lewis's profile →
Citations per field
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Citations per year

Countries citing papers authored by F. A. Gries

Since Specialization
Citations

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

Fields of papers citing papers by F. A. Gries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. A. Gries. 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 F. A. Gries. The network helps show where F. A. Gries may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995404
2 1992318
3 1998258
4 1991213
5 1992201
6 1993173
7 1990167
8 1977166
9 1993161
10 1988158
11 1993128
12 1994124
13 1992117
14 1997101
15
Prevalence and clinical correlates of cardiovascular autonomic and peripheral diabetic neuropathy in patients attending diabetes centers. The Diacan Multicenter Study Group.
199384
16 199483
17 199173
18 199471
19 198871
20 199565

About F. A. Gries

F. A. Gries is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Genetics and Molecular Biology, having authored 129 papers that have together received 5.0k indexed citations. Recurring topics across this work include Diabetes Management and Research (27 papers), Diabetes and associated disorders (24 papers), Pancreatic function and diabetes (21 papers), Adipose Tissue and Metabolism (20 papers), Diet and metabolism studies (19 papers), Metabolism, Diabetes, and Cancer (16 papers), Pain Mechanisms and Treatments (12 papers) and Heart Rate Variability and Autonomic Control (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Physiology (1.2k citations), Biophysics (268 citations) and Biochemistry (316 citations). F. A. Gries has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Dan Ziegler, M. Spüler, T. Koschinsky, K. Dannehl, P. Mayer, J Jervell, H. Michael Heise, H Mühlen, D. Tschoepe and Andrew J.M. Boulton. Their work appears in journals such as Diabetologia, Diabetic Medicine, Journal of Molecular Medicine, Hormone and Metabolic Research and Atherosclerosis.

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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