H.J. Steinfelder

867 citations
26 papers · 771 · h-index 14

Impact in

Papers in

H.J. Steinfelder

26 papers receiving 726 citations

Peers

H.J. Steinfelder
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 351
  • Reproductive Medicine 101
  • Physiology 34
  • Genetics 168
  • Molecular Biology 345
Replace Fabiana Cornejo Maciel with:
Fabiana Cornejo Maciel Argentina
MARGARET A. HIRST United States
Sylvia Solakidi Greece
David L. DiPietro United States
Virginia H. Black United States
Darrell W. Eubank United States
M. Perrot-Applanat France
Margaret Moore United States
Marina C. Rodríguez Spain
Tiejun Sun United States
H.J. Steinfelder relative to Fabiana Cornejo Maciel Argentina Fabiana Cornejo Maciel's profile →
Citations per field
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Fabiana Cornejo Maciel · 1×
Citations per year

Countries citing papers authored by H.J. Steinfelder

Since Specialization
Citations

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

Fields of papers citing papers by H.J. Steinfelder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.J. Steinfelder. 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 H.J. Steinfelder. The network helps show where H.J. Steinfelder may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991117
2 1989112
3 199287
4 199258
5 198257
6 198754
7 199348
8 199030
9 200229
10 198521
11 200621
12 200018
13 198617
14 198814
15 199914
16 198312
17 200812
18 19829
19 19867
20 19897

About H.J. Steinfelder

H.J. Steinfelder is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Toxicology and Cancer Research, having authored 26 papers that have together received 771 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (4 papers), Beetle Biology and Toxicology Studies (3 papers), Pancreatic function and diabetes (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (351 citations), Reproductive Medicine (101 citations), Physiology (34 citations), Genetics (168 citations) and Molecular Biology (345 citations). H.J. Steinfelder has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Hans‐Georg Joost, Sally Radovick, Fredric Edward Wondisford, B D Weintraub, John H. McClaskey, Peter Viktor Hauser, J. Michael Moates, Frederic E. Wondisford, Terry W. Taylor and Yuko Nakayama. Their work appears in journals such as Biochemical Pharmacology, Molecular Pharmacology, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Analytical Biochemistry.

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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