Tamara Prodanov

1.8k citations
30 papers · 917 · h-index 17

Impact in

Papers in

Tamara Prodanov

29 papers receiving 910 citations

Peers

Tamara Prodanov
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 636
  • Cancer Research 540
  • Surgery 769
  • Neurology 123
  • Genetics 61
Replace L Billaud with:
L Billaud France
André Bonnin France
Katherine I. Wolf United States
A. H. J. T. Vriends Netherlands
S K Grebe United States
Antje Redlich Germany
Francisca Caimari Spain
Yun Mi Choi South Korea
Antônio Gonçalves de Oliveira-Filho Brazil
Ved Bhushan Arya United Kingdom
Tamara Prodanov relative to L Billaud France L Billaud's profile →
Citations per field
00.5×6.3×
L Billaud · 1×
Citations per year

Countries citing papers authored by Tamara Prodanov

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Prodanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011131
2 2013112
3 201596
4 200866
5 201654
6 201353
7 201753
8 201442
9 201734
10 201634
11 202229
12 201429
13 201328
14 202026
15 201023
16 202221
17 202217
18 201815
19 200914
20 20129

About Tamara Prodanov

Tamara Prodanov is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Neurology and Genetics, having authored 30 papers that have together received 917 indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (28 papers), Pituitary Gland Disorders and Treatments (19 papers), Hormonal Regulation and Hypertension (18 papers), Cancer, Hypoxia, and Metabolism (16 papers), Neuroblastoma Research and Treatments (2 papers), Endometriosis Research and Treatment (1 paper), Retinal Diseases and Treatments (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (636 citations), Cancer Research (540 citations), Surgery (769 citations), Neurology (123 citations) and Genetics (61 citations). Tamara Prodanov has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Karel Pacák, Electron Kebebew, Naris Nilubol, Tito Fojo, Dhaval Patel, Karen T. Adams, Constantine A. Stratakis, Robert Wesley, Karel Pacák and Lawrence M. Nelson. Their work appears in journals such as Surgery, Journal of Clinical Oncology, Journal of Cancer Research and Clinical Oncology, Hormone and Metabolic Research and Annals of Surgery.

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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