Gábor Barna
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
-
- Immune Cell Function and Interaction
Papers in
-
- Cell death mechanisms and regulation 4
- PI3K/AKT/mTOR signaling in cancer 4
- Genetics 16
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- Anna Sebestyén (17 shared papers)István Peták (6 shared papers)Rudolf Mihalik (7 shared papers)László Kopper (11 shared papers)András Matolcsy (8 shared papers)Gergely Imre (2 shared papers)Tamás Korcsmáros (1 shared paper)Zsuzsanna A. Dunai (1 shared paper)
- Journals
- Pathology & Oncology Research (8 papers)Hematological Oncology (5 papers)PLoS ONE (3 papers)Cancers (2 papers)Cytokine (2 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Gábor Barna
54 papers receiving 699 citations
Peers
Comparison fields: 5 of 103
- Genetics 119
- Immunology 153
- Cancer Research 108
- Oncology 173
- Molecular Biology 387
Countries citing papers authored by Gábor Barna
This map shows the geographic impact of Gábor Barna'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 Gábor Barna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Barna more than expected).
Fields of papers citing papers by Gábor Barna
This network shows the impact of papers produced by Gábor Barna. 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 Gábor Barna. The network helps show where Gábor Barna may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor Barna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 85 | |
| 2 | 2010 | 62 | |
| 3 | Cell cycle dependent RRM2 may serve as proliferation marker and pharmaceutical target in adrenocortical cancer. | 2016 | 50 |
| 4 | 2004 | 47 | |
| 5 | 2007 | 40 | |
| 6 | 2008 | 28 | |
| 7 | 2014 | 28 | |
| 8 | 2010 | 26 | |
| 9 | 2013 | 25 | |
| 10 | 2021 | 21 | |
| 11 | 2005 | 19 | |
| 12 | 2020 | 18 | |
| 13 | 2015 | 17 | |
| 14 | Different ways to induce apoptosis by fenretinide and all-trans-retinoic acid in human B lymphoma cells. | 2006 | 17 |
| 15 | TGF beta 1 induces caspase-dependent but death-receptor independent apoptosis in lymphoid cells. | 2001 | 15 |
| 16 | 2008 | 14 | |
| 17 | TGF beta 1 kills lymphoma cells using mitochondrial apoptotic pathway with the help of caspase-8. | 2003 | 14 |
| 18 | 2007 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2015 | 10 |
About Gábor Barna
Gábor Barna is a scholar working on Molecular Biology, Genetics, Oncology, Pathology and Forensic Medicine and Immunology, having authored 64 papers that have together received 711 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (4 papers), Cell death mechanisms and regulation (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Acute Lymphoblastic Leukemia research (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Genetics (119 citations), Immunology (153 citations), Cancer Research (108 citations), Oncology (173 citations) and Molecular Biology (387 citations). Gábor Barna has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Anna Sebestyén, István Peták, Rudolf Mihalik, László Kopper, András Matolcsy, Gergely Imre, Tamás Korcsmáros, Zsuzsanna A. Dunai, Pál I. Bauer and Sándor Paku. Their work appears in journals such as Pathology & Oncology Research, Hematological Oncology, PLoS ONE, Cancers and Cytokine.
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.