F Bielschowsky

1.1k citations
21 papers · 440 · h-index 11

Impact in

  • Aging top 10%
    • Thyroid Cancer Diagnosis and Treatment
    • Growth Hormone and Insulin-like Growth Factors
    • Thyroid Disorders and Treatments
    • Pituitary Gland Disorders and Treatments

Papers in

F Bielschowsky

21 papers receiving 355 citations

Peers

F Bielschowsky
Comparison fields: 5 of 71
  • Aging 19
  • Endocrinology, Diabetes and Metabolism 128
  • Cancer Research 61
  • Physiology 82
  • Immunology 58
Replace Ana I. Sotelo with:
Ana I. Sotelo Argentina
M Maccheroni Italy
Hadley Kirkman United States
Martin Lipkin United States
S. Okuno Japan
Hiroaki Homma Japan
Mark Dizik United States
Tiane Dai United States
Toshitsugu Kariya Japan
M. R. S. Rao India
F Bielschowsky relative to Ana I. Sotelo Argentina Ana I. Sotelo's profile →
Citations per field
00.5×1.6×
Ana I. Sotelo · 1×
Citations per year

Countries citing papers authored by F Bielschowsky

Since Specialization
Citations

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

Fields of papers citing papers by F Bielschowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside F Bielschowsky, 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 Bielschowsky Line = papers co-authored together F Bielschowsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195687
2 195572
3 195347
4 196446
5 196223
6 196123
7 195321
8 195819
9 195917
10 195116
11 195613
12 195810
13 196010
14 195410
15 19627
16 19527
17 19515
18 19534
19 19521
20
The role of ovarian secretions in the pathogenesis of chemically induced cancers.
19531

About F Bielschowsky

F Bielschowsky is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Genetics, Biotechnology and Microbiology, having authored 21 papers that have together received 440 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Cancer Research and Treatments (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Microbial infections and disease research (2 papers), Animal Genetics and Reproduction (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Aging (19 citations), Endocrinology, Diabetes and Metabolism (128 citations), Cancer Research (61 citations), Physiology (82 citations) and Immunology (58 citations). F Bielschowsky has collaborated with scholars based in New Zealand. Frequent co-authors include Marianne Bielschowsky, William H. Hall, E. S. Horning, H. D. PURVES and W. E. Griesbach. Their work appears in journals such as British Journal of Cancer, Immunology and Cell Biology, Nature, British Medical Bulletin and The Lancet.

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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