Géza Ács

6.1k citations
98 papers · 4.3k indexed · h-index 37

Impact in

Papers in

Géza Ács

97 papers receiving 4.2k citations

Peers

Géza Ács
Comparison fields: 5 of 113
  • Sensory Systems 380
  • Hematology 792
  • Cancer Research 1.0k
  • Oncology 1.4k
  • Dermatology 467
Replace Javier Benı́tez with:
Javier Benı́tez Spain
Donna E. Hansel United States
Jacob Pe’er Israel
Olle Larsson Sweden
Gaëlle Fromont France
Gonzalo Goméz-López Spain
Susan M. Henshall Australia
Anna Bagnato Italy
Carl Morrison United States
Karen Cichowski United States
Géza Ács relative to Javier Benı́tez Spain Javier Benı́tez's profile →
Citations per field
00.5×6.0×
Javier Benı́tez · 1×
Citations per year

Countries citing papers authored by Géza Ács

Since Specialization
Citations

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

Fields of papers citing papers by Géza Ács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20236
2 201313
3 201153
4
Constitutively active erythropoietin receptor variants in human ovarian and breast cancers
20081
5 200847
6 200716
7 200628
8 200614
9 200669
10 20068
11 200426
12
HIF transcription factor expression and induction of hypoxic response genes in a retroperitoneal angiosarcoma.
200424
13 200492
14 200316
15 2001202
16 200013
17 199752
18 199613
19 199412
20
Induction of Intercellular-adhesion Molecule-1 (icam-1) On Hepg2 Cells - Influence of Cytokines and Hbv-dna Transfection
19901

About Géza Ács

Géza Ács is a scholar working on Cancer Research, Sensory Systems, Hematology, Oncology and Pathology and Forensic Medicine, having authored 98 papers that have together received 4.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (25 papers), Breast Lesions and Carcinomas (19 papers), Erythropoietin and Anemia Treatment (14 papers), Pain Mechanisms and Treatments (11 papers), Ion channel regulation and function (9 papers), Lymphatic System and Diseases (8 papers), PARP inhibition in cancer therapy (8 papers) and Cancer, Hypoxia, and Metabolism (8 papers). The work is most often cited by research in Sensory Systems (380 citations), Hematology (792 citations), Cancer Research (1.0k citations), Oncology (1.4k citations) and Dermatology (467 citations). Géza Ács has collaborated with scholars based in United States, Hungary and Austria. Frequent co-authors include Paul J. Zhang, Péter Ács, Peter M. Blumberg, Xiaowei Xu, Ajay Verma, Theresa L. Pasha, Christine Laronga, Suresh Kumar, Christina Chu and Timothy R. Rebbeck. Their work appears in journals such as The American Journal of Surgical Pathology, Modern Pathology, Cancer Research, Life Sciences and American Journal Of Pathology.

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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