G Hetenyi

2.0k citations
100 papers · 1.5k indexed · h-index 22

Impact in

Papers in

G Hetenyi

98 papers receiving 1.3k citations

Peers

G Hetenyi
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 561
  • Clinical Biochemistry 213
  • Physiology 708
  • Cell Biology 242
  • Endocrine and Autonomic Systems 61
Replace R. C. de Bodo with:
R. C. de Bodo United States
R. Steele United States
Richard B. Tobin United States
W. M. Bennet United Kingdom
J. E. Gerich United States
J.R. Girard France
J. S. Wall United States
P D Whitton United Kingdom
T. T. Aoki United States
A Luyckx Belgium
G Hetenyi relative to R. C. de Bodo United States R. C. de Bodo's profile →
Citations per field
00.5×1.5×1.9×
R. C. de Bodo · 1×
Citations per year

Countries citing papers authored by G Hetenyi

Since Specialization
Citations

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

Fields of papers citing papers by G Hetenyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 19973
2 199710
3 19953
4 199111
5 19908
6 198912
7 19886
8 19878
9 197626
10
Validity of the rates of production and utilization of metabolites as determined by tracer methods in intact animals.
197439
11 19729
12 1971219
13 19715
14 19686
15 196732
16 196714
17
Fact and fancy concerning tracer-determined flux and accumulation of substances in vivo.
19623
18 196212
19 196125
20
Successive measured injections of tracer as a method for determining characteristics of accumulation and turnover in higher animals with access limited to blood: tests in hydrodynamic systems and initial observations on insulin action in dogs.
195922

About G Hetenyi

G Hetenyi is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Physiology, Endocrine and Autonomic Systems and Surgery, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (32 papers), Metabolism, Diabetes, and Cancer (28 papers), Diet and metabolism studies (26 papers), Diabetes Management and Research (16 papers), Adipose Tissue and Metabolism (16 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (16 papers), Metabolism and Genetic Disorders (12 papers) and Diabetes and associated disorders (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (561 citations), Clinical Biochemistry (213 citations), Physiology (708 citations), Cell Biology (242 citations) and Endocrine and Autonomic Systems (61 citations). G Hetenyi has collaborated with scholars based in Canada, Hungary and United Kingdom. Frequent co-authors include John S. Cowan, N. Forbath, M. Vranić, Catherine Ferrarotto, Gerald A. Wrenshall, John R. Evans, Kenneth H. Norwich, John J. Reynolds, B. Lussier and Susan Hall. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, Diabetes, Metabolism, American Journal of Physiology-Legacy Content and American Journal of Physiology-Endocrinology and Metabolism.

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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2026