Tamara Prodanov

1.9k citations
31 papers · 1.0k · h-index 17

Impact in

Papers in

Tamara Prodanov

27 papers receiving 985 citations

Peers

Tamara Prodanov
Comparison fields: 5 of 57
  • Cancer Research 413
  • Endocrinology, Diabetes and Metabolism 445
  • Surgery 835
  • Neurology 120
  • Genetics 50
Replace Antônio Gonçalves de Oliveira-Filho with:
Antônio Gonçalves de Oliveira-Filho Brazil
Colleen M. Kiernan United States
Julia Kharlip United States
Lino Furlani Italy
Antje Redlich Germany
Francisca Caimari Spain
Brahm Shapiro United States
Rossana Corbo Brazil
Calogero Virgone Italy
Sergei Spektor Israel
Tamara Prodanov relative to Antônio Gonçalves de Oliveira-Filho Brazil Antônio Gonçalves de Oliveira-Filho's profile →
Citations per field
00.5×2×4×5.9×
Antônio Gonçalves de Oliveira-Filho · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011146
2 2013118
3 2015101
4 200870
5 201662
6 201758
7 201354
8 201449
9 201643
10 201735
11 202033
12 201331
13 202230
14 201430
15 201025
16 202223
17 202222
18 201817
19 200916
20 201210

About Tamara Prodanov

Tamara Prodanov is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Reproductive Medicine and Genetics, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (29 papers), Pituitary Gland Disorders and Treatments (6 papers), Hormonal Regulation and Hypertension (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Glioma Diagnosis and Treatment (1 paper), Menopause: Health Impacts and Treatments (1 paper), Neuroblastoma Research and Treatments (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (413 citations), Endocrinology, Diabetes and Metabolism (445 citations), Surgery (835 citations), Neurology (120 citations) and Genetics (50 citations). Tamara Prodanov has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include K Pacák, Electron Kebebew, Naris Nilubol, Tito Fojo, Dhaval Patel, Karen T. Adams, Constantine A. Stratakis, ROBERT A. WESLEY, Karel Pacák and Ivana Jochmanová. Their work appears in journals such as Surgery, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research and Journal of Cancer Research and Clinical Oncology.

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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