Péter Igaz

4.1k citations
179 papers · 2.9k · h-index 29

Impact in

Papers in

    • Circular RNAs in diseases 20
    • MicroRNA in disease regulation 33
    • Cancer, Hypoxia, and Metabolism 25
    • Cancer-related molecular mechanisms research 23

Péter Igaz

166 papers receiving 2.9k citations

Peers

Péter Igaz
Comparison fields: 5 of 118
  • Cancer Research 1.3k
  • Endocrinology, Diabetes and Metabolism 518
  • Surgery 745
  • Molecular Biology 1.2k
  • Genetics 165
Replace M. Emi with:
M. Emi Japan
Maria Nesterova United States
Anélia Horvath United States
Pascal Roger France
Cuong Hoang‐Vu Germany
Kelly A. Chiles United States
Kazuya Yamada Japan
Saptarsi M. Haldar United States
Gabriella De Vita Italy
Ramendra K. Kundu United States
Péter Igaz relative to M. Emi Japan M. Emi's profile →
Citations per field
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M. Emi · 1×
Citations per year

Countries citing papers authored by Péter Igaz

Since Specialization
Citations

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

Fields of papers citing papers by Péter Igaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009147
2 2001100
3 201097
4 201793
5 201993
6 201385
7 201082
8 201775
9 201165
10 200163
11 201056
12 200554
13 201053
14 201753
15
Cell cycle dependent RRM2 may serve as proliferation marker and pharmaceutical target in adrenocortical cancer.
201651
16 201445
17 201043
18 201643
19 201842
20 201440

About Péter Igaz

Péter Igaz is a scholar working on Molecular Biology, Cancer Research, Surgery, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 179 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (38 papers), MicroRNA in disease regulation (33 papers), Neuroendocrine Tumor Research Advances (26 papers), Cancer, Hypoxia, and Metabolism (25 papers), Cancer-related molecular mechanisms research (23 papers), Circular RNAs in diseases (20 papers), Pituitary Gland Disorders and Treatments (16 papers) and Hormonal Regulation and Hypertension (14 papers). The work is most often cited by research in Cancer Research (1.3k citations), Endocrinology, Diabetes and Metabolism (518 citations), Surgery (745 citations), Molecular Biology (1.2k citations) and Genetics (165 citations). Péter Igaz has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Attila Patócs, Kàroly Rácz, András Falus, Péter M. Szabó, Miklós Tóth, István Likó, Henriett Butz, Béla Molnár, Pál Perge and Alexandra Kalmár. Their work appears in journals such as Cancers, Pathology & Oncology Research, Cellular and Molecular Life Sciences, Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions and International Journal of Molecular Sciences.

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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