Eva Bekesi
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
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- Protein Kinase Regulation and GTPase Signaling 5
- Protein purification and stability 2
- Cell death mechanisms and regulation 2
- Glycosylation and Glycoproteins Research 2
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Veeraswamy Manne (2 shared papers)H F Kung (2 shared papers)Alex G. Papageorge (3 shared papers)Douglas R. Lowy (3 shared papers)Berthe M. Willumsen (3 shared papers)Morten Johnsen (3 shared papers)William C. Vass (2 shared papers)Hsiang‐Fu Kung (5 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular and Cellular Biology (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)The EMBO Journal (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- United StatesDenmarkSwitzerland
In The Last Decade
Eva Bekesi
15 papers receiving 610 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 556
- Cell Biology 120
- Oncology 185
- Genetics 94
- Radiology, Nuclear Medicine and Imaging 75
Countries citing papers authored by Eva Bekesi
This map shows the geographic impact of Eva Bekesi'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 Eva Bekesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Bekesi more than expected).
Fields of papers citing papers by Eva Bekesi
This network shows the impact of papers produced by Eva Bekesi. 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 Eva Bekesi. The network helps show where Eva Bekesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Bekesi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 180 | |
| 2 | 1985 | 165 | |
| 3 | 1969 | 65 | |
| 4 | 1994 | 54 | |
| 5 | 1986 | 52 | |
| 6 | 1985 | 42 | |
| 7 | 1986 | 34 | |
| 8 | 1986 | 28 | |
| 9 | 1986 | 25 | |
| 10 | 1984 | 15 | |
| 11 | 1986 | 9 | |
| 12 | 1991 | 8 | |
| 13 | 1989 | 6 | |
| 14 | Mutational Analysis ofarasCatalytic Domain | 1986 | 4 |
| 15 | 1995 | 3 |
About Eva Bekesi
Eva Bekesi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Cell Biology, having authored 15 papers that have together received 690 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protein purification and stability (2 papers), Cancer-related Molecular Pathways (2 papers), Bacterial Genetics and Biotechnology (2 papers), Virus-based gene therapy research (2 papers), Cell death mechanisms and regulation (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (556 citations), Cell Biology (120 citations), Oncology (185 citations), Genetics (94 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Eva Bekesi has collaborated with scholars based in United States, Denmark and Switzerland. Frequent co-authors include Veeraswamy Manne, H F Kung, Alex G. Papageorge, Douglas R. Lowy, Berthe M. Willumsen, Morten Johnsen, William C. Vass, Hsiang‐Fu Kung, H F Kung and T. Robins. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Methods in enzymology on CD-ROM/Methods in enzymology, The EMBO Journal 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.