Pál I. Bauer

874 citations
33 papers · 729 · h-index 17

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism

Papers in

    • DNA Repair Mechanisms 7
    • Biochemical and Molecular Research 6
    • Cell death mechanisms and regulation 5
    • PARP inhibition in cancer therapy 16

Pál I. Bauer

33 papers receiving 716 citations

Peers

Pál I. Bauer
Comparison fields: 5 of 86
  • Oncology 322
  • Physiology 57
  • Molecular Biology 478
  • Immunology 120
  • Cancer Research 66
Replace Matthias Austen with:
Matthias Austen Germany
Pierosandro Tagliaferri Italy
Michelle Wong United States
Ryohei Furumai Japan
Jason E. Reynolds United States
Slavica Brnjic Sweden
Irina A. Vasilevskaya United States
Susumu Rokudai Japan
J P Jaffrézou France
Elona Biçaku United States
Pál I. Bauer relative to Matthias Austen Germany Matthias Austen's profile →
Citations per field
00.5×1.5×
Matthias Austen · 1×
Citations per year

Countries citing papers authored by Pál I. Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Pál I. Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pál I. Bauer. 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 Pál I. Bauer. The network helps show where Pál I. Bauer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 199558
3 200358
4 201151
5 199744
6 199241
7 201240
8 200138
9 198633
10 199126
11 200124
12 199122
13 199121
14 199021
15 199719
16 198218
17 198116
18 200215
19 200615
20 197810

About Pál I. Bauer

Pál I. Bauer is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Infectious Diseases, having authored 33 papers that have together received 729 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (16 papers), DNA Repair Mechanisms (7 papers), Biochemical and Molecular Research (6 papers), Cell death mechanisms and regulation (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Calcium signaling and nucleotide metabolism (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Oncology (322 citations), Physiology (57 citations), Molecular Biology (478 citations), Immunology (120 citations) and Cancer Research (66 citations). Pál I. Bauer has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Ernest Kun, Alaeddin Hakam, Kálman G. Büki, Rudolf Mihalik, Zsuzsanna A. Dunai, E. Kirsten, István Peták, Judit Jánossy, Tamás Korcsmáros and Anna Brózik. Their work appears in journals such as FEBS Letters, Biochemical and Biophysical Research Communications, PLoS ONE, International Journal of Molecular Medicine and Experimental Cell Research.

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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