Bent Formby

60 papers receiving 1.3k citations

Peers

Bent Formby
Comparison fields: 5 of 101
  • Complementary and Manual Therapy 75
  • Cell Biology 216
  • Genetics 349
  • Endocrinology, Diabetes and Metabolism 193
  • Cancer Research 168
Replace Seiko Kyakumoto with:
Seiko Kyakumoto Japan
Enke Baldini Italy
George B. Stroup United States
Sébastien Blaise France
Paola Narducci Italy
Yinglu Guo China
Han Na Suh South Korea
Andrew Sunters United Kingdom
Yuji Yamazaki Japan
Laura del Senno Italy
Bent Formby relative to Seiko Kyakumoto Japan Seiko Kyakumoto's profile →
Citations per field
00.5×4.7×
Seiko Kyakumoto · 1×
Citations per year

Countries citing papers authored by Bent Formby

Since Specialization
Citations

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

Fields of papers citing papers by Bent Formby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002184
2 199597
3 200990
4 200282
5 199766
6 199963
7 197657
8
Progesterone inhibits growth and induces apoptosis in breast cancer cells: inverse effects on Bcl-2 and p53.
199951
9 200348
10 198444
11 199140
12 198838
13 197430
14 196830
15 199828
16 199428
17 198027
18 200125
19 199023
20 198721

About Bent Formby

Bent Formby is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (26 papers), Diabetes and associated disorders (21 papers), Diabetes Management and Research (12 papers), Proteoglycans and glycosaminoglycans research (6 papers), Lipid Membrane Structure and Behavior (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Birth, Development, and Health (5 papers). The work is most often cited by research in Complementary and Manual Therapy (75 citations), Cell Biology (216 citations), Genetics (349 citations), Endocrinology, Diabetes and Metabolism (193 citations) and Cancer Research (168 citations). Bent Formby has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Robert Stern, Svetlana Shuster, Birgit A. Neudecker, Jørgen Clausen, Hiroo Toyoda, Charles M. Peterson, Nancy Houston Miller, Gerold M. Grodsky, Kirsten Capito and Antonei B. Csòka. Their work appears in journals such as Diabetes, Experimental Biology and Medicine, Immunology Letters, Molecular and Cellular Biochemistry and Journal of Pharmacology and Experimental Therapeutics.

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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