Fadime Dogan

781 citations
29 papers · 614 · h-index 13

Impact in

Papers in

Fadime Dogan

28 papers receiving 608 citations

Peers

Fadime Dogan
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 194
  • Oncology 259
  • Neurology 127
  • Epidemiology 266
  • Cancer Research 88
Replace Sweta Sudhir with:
Sweta Sudhir United States
Mijke Buitinga Netherlands
Hirotake Komatsu United States
Daniela Kodetová Czechia
Yuki Katsuya Japan
Carla Pecchioni Italy
Natalie Seiser United States
Austin Thiel United States
Hongfeng Yuan China
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Citations per field
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Citations per year

Countries citing papers authored by Fadime Dogan

Since Specialization
Citations

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

Fields of papers citing papers by Fadime Dogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201578
2 201972
3 201663
4 201756
5 201356
6 201652
7 201644
8 201441
9 201927
10 201419
11 201915
12 202013
13 201912
14 202211
15 202111
16 20215
17 20155
18
IFN-β is a potent inhibitor of insulin and insulin like growth factor stimulated proliferation and migration in human pancreatic cancer cells.
20155
19 20225
20 20224

About Fadime Dogan

Fadime Dogan is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology, Surgery and Cancer Research, having authored 29 papers that have together received 614 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (10 papers), Pituitary Gland Disorders and Treatments (9 papers), Pancreatic and Hepatic Oncology Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Lung Cancer Research Studies (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Adrenal and Paraganglionic Tumors (6 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (194 citations), Oncology (259 citations), Neurology (127 citations), Epidemiology (266 citations) and Cancer Research (88 citations). Fadime Dogan has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Leo J. Hofland, Peter M. van Koetsveld, Wouter W. de Herder, Richard A. Feelders, Steven W. J. Lamberts, Federico Gatto, Diego Ferone, Johan M. Kros, Sebastian Neggers and Georgios Giamas. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biomedicines, Cancers, Frontiers in Endocrinology and British Journal of Cancer.

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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