G. Bechtner

627 citations
24 papers · 530 · h-index 12

Impact in

Papers in

G. Bechtner

21 papers receiving 482 citations

Peers

G. Bechtner
Comparison fields: 5 of 27
  • Endocrinology, Diabetes and Metabolism 248
  • Genetics 79
  • Gastroenterology 5
  • Nutrition and Dietetics 7
  • Molecular Biology 34
Replace Juan Carlos Solís‐S with:
Juan Carlos Solís‐S Mexico
J. C. Henquin Belgium
King T Singapore
John A. Phillips United States
Manuel Fontoura Portugal
C. Forrest United Kingdom
James L. Penfold Australia
Kenpei Matsuoka Japan
Gregory E. Tennyson United States
Marie Aare Vestmar Denmark
G. Bechtner relative to Juan Carlos Solís‐S Mexico Juan Carlos Solís‐S's profile →
Citations per field
00.5×2×3×4.2×
Juan Carlos Solís‐S · 1×
Citations per year

Countries citing papers authored by G. Bechtner

Since Specialization
Citations

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

Fields of papers citing papers by G. Bechtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside G. Bechtner, 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. Bechtner Line = papers co-authored together G. Bechtner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995108
2 200978
3 199046
4 200342
5 199436
6 199934
7 199733
8 199624
9 198923
10
Evidence that iodolactones are the mediators of growth inhibition by iodine on the thyroid.
199620
11
Role of autocrine and paracrine factors in thyroid follicle growth.
199216
12 198714
13 199410
14 19858
15
Evidence that thyroid growth autoregulation is mediated by an iodolactone.
19908
16
Growth regulation of porcine thyroid follicles in-vitro by growth factors.
19908
17 19937
18 19876
19
Advances in pathogenesis of goitre.
19906
20 20092

About G. Bechtner

G. Bechtner is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 24 papers that have together received 530 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (17 papers), Hormonal Regulation and Hypertension (2 papers), Fibroblast Growth Factor Research (1 paper) and Inflammatory Bowel Disease (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (248 citations), Genetics (79 citations), Gastroenterology (5 citations), Nutrition and Dietetics (7 citations) and Molecular Biology (34 citations). G. Bechtner has collaborated with scholars based in Germany, Japan and United Kingdom. Frequent co-authors include Roland Gärtner, Alex Dugrillon, Michael Christ, Christoph Eisen, K. Theisen, Martin Wehling, Walter Greil, Waltraud M. Uedelhoven, Rupert Langer and Peter C. Weber. Their work appears in journals such as European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Hormone and Metabolic Research, Alimentary Pharmacology & Therapeutics and Hypertension.

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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