Péter Ács

2.8k citations
43 papers · 2.1k · h-index 26

Impact in

Papers in

Péter Ács

42 papers receiving 2.1k citations

Peers

Péter Ács
Comparison fields: 5 of 94
  • Sensory Systems 255
  • Hematology 516
  • Cancer Research 234
  • Oncology 352
  • Molecular Biology 952
Replace Jocelyne Enouf with:
Jocelyne Enouf France
Raymonde Bredoux France
Liwei Wang China
Richard T. Waldron United States
Jun Qin Mo United States
Michael Pieper Germany
Rong Tao China
Sandra E. Wilkinson United Kingdom
Elwood E. Reynolds United States
Evangeline D. Motley United States
Péter Ács relative to Jocelyne Enouf France Jocelyne Enouf's profile →
Citations per field
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Jocelyne Enouf · 1×
Citations per year

Countries citing papers authored by Péter Ács

Since Specialization
Citations

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

Fields of papers citing papers by Péter Ács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Erythropoietin and erythropoietin receptor expression in human cancer.
2001221
2 2003173
3 1998168
4 2002135
5 1996129
6 199795
7 200488
8 201374
9
Protein kinase C-epsilon plays a role in neurite outgrowth in response to epidermal growth factor and nerve growth factor in PC12 cells.
199974
10 201172
11 200470
12 199766
13 199765
14 199660
15 199760
16
Differential selectivity of ligands for the C1a and C1b phorbol ester binding domains of protein kinase Cdelta: possible correlation with tumor-promoting activity.
199859
17 199854
18 199748
19 199847
20 199745

About Péter Ács

Péter Ács is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Sensory Systems, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (16 papers), Ion Channels and Receptors (5 papers), Receptor Mechanisms and Signaling (4 papers), Pain Mechanisms and Treatments (4 papers), Enzyme Structure and Function (4 papers), Erythropoietin and Anemia Treatment (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Sensory Systems (255 citations), Hematology (516 citations), Cancer Research (234 citations), Oncology (352 citations) and Molecular Biology (952 citations). Péter Ács has collaborated with scholars based in United States, Israel and Hungary. Frequent co-authors include Peter M. Blumberg, Géza Ács, Ajay Verma, Krisztina Bögi, Tamás Bı́ró, Zoltán Szállási, Shayan Modarres, Chaya Brodie, Paul J. Zhang and Patricia S. Lorenzo. Their work appears in journals such as Journal of Biological Chemistry, Blood, Journal of Clinical Oncology, Journal of Medicinal Chemistry and Cancer.

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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