Péter Igaz

4.2k citations
184 papers · 3.3k · h-index 31

Impact in

Papers in

Péter Igaz

171 papers receiving 3.3k citations

Peers

Péter Igaz
Comparison fields: 5 of 102
  • Cancer Research 855
  • Endocrinology, Diabetes and Metabolism 628
  • Surgery 815
  • Oncology 245
  • Molecular Biology 635
Replace Silviu Sbiera with:
Silviu Sbiera Germany
Alberto Cascón Spain
Stefano Ferrero Italy
Ronald Cohen United States
Takashi Kusakabe Japan
Christèle Desbois‐Mouthon France
Dale J. Hamilton United States
Ken‐ichi Ito Japan
Yoh Dobashi Japan
Brian M. Necela United States
Péter Igaz relative to Silviu Sbiera Germany Silviu Sbiera's profile →
Citations per field
00.5×2×2.8×
Silviu Sbiera · 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 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009151
2 2015134
3 2001111
4 2017100
5 201099
6 201996
7 201090
8 201388
9 201781
10 201170
11 200164
12 201058
13 200557
14 201757
15 201056
16
Cell cycle dependent RRM2 may serve as proliferation marker and pharmaceutical target in adrenocortical cancer.
201652
17 202050
18 201646
19 201045
20 201445

About Péter Igaz

Péter Igaz is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Molecular Biology, having authored 184 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (51 papers), MicroRNA in disease regulation (27 papers), Neuroendocrine Tumor Research Advances (22 papers), Pituitary Gland Disorders and Treatments (17 papers), Adrenal Hormones and Disorders (9 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Cancer Research (855 citations), Endocrinology, Diabetes and Metabolism (628 citations), Surgery (815 citations), Oncology (245 citations) and Molecular Biology (635 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 Márton Szabó, Miklós Tóth, István Likó, Henriett Butz, Pál Perge, Bela Akos Molnar and Ábel Decmann. Their work appears in journals such as Cancers, The Journal of Clinical Endocrinology & Metabolism, Pathology & Oncology Research, Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions and Cellular and Molecular Life 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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