Fadime Dogan

817 citations
28 papers · 675 · h-index 13

Impact in

Papers in

Fadime Dogan

27 papers receiving 670 citations

Peers

Fadime Dogan
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 193
  • Oncology 226
  • Neurology 113
  • Epidemiology 247
  • Cancer Research 72
Replace Tomoki Yokoyama with:
Tomoki Yokoyama Japan
Carla Pecchioni Italy
Hirotake Komatsu United States
Akira Muramatsu Japan
Danielle Quincey France
Luisa Arganini Italy
Laura S. Danielson United States
Austin T. Thiel United States
Asako Tajima United States
Masato Igarashi Japan
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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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201980
3 201664
4 201760
5 201358
6 201656
7 201646
8 201442
9 201931
10 201422
11 201915
12 201914
13 202114
14 202013
15 202213
16 202212
17 20217
18 20236
19 20256
20 20225

About Fadime Dogan

Fadime Dogan is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology, Neurology and Cancer Research, having authored 28 papers that have together received 675 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (10 papers), Pituitary Gland Disorders and Treatments (7 papers), Pancreatic and Hepatic Oncology Research (7 papers), Lung Cancer Research Studies (6 papers), Adrenal and Paraganglionic Tumors (4 papers), Neuroblastoma Research and Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (193 citations), Oncology (226 citations), Neurology (113 citations), Epidemiology (247 citations) and Cancer Research (72 citations). Fadime Dogan has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Leo J. Hofland, Peter M. van Koetsveld, Wouter W. de Herder, Richard Abraham Feelders, Steven W. J. Lamberts, Diego Ferone, Federico Gatto, Johan M. Kros, Sebastian J.C.M.M. Neggers and Teresa Gagliano. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancers, Biomedicines, Frontiers in Endocrinology and Clinical and Translational Medicine.

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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