Ágnes Márk
Impact in
-
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 9
- Protein Degradation and Inhibitors 2
-
- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Anna Sebestyén (15 shared papers)László Kopper (8 shared papers)Noémi Nagy (6 shared papers)Monika Csóka (4 shared papers)Karolina Nemes (3 shared papers)Gábor Barna (13 shared papers)Melinda Hajdu (3 shared papers)Gábor Kovács (2 shared papers)
- Journals
- Pathology & Oncology Research (6 papers)Hematological Oncology (2 papers)Cancer Cell International (1 paper)PLoS ONE (1 paper)Cytometry Part A (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Ágnes Márk
24 papers receiving 318 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 66
- Genetics 38
- Gastroenterology 16
- Molecular Biology 173
- Hematology 26
Countries citing papers authored by Ágnes Márk
This map shows the geographic impact of Ágnes Márk'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 Ágnes Márk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Márk more than expected).
Fields of papers citing papers by Ágnes Márk
This network shows the impact of papers produced by Ágnes Márk. 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 Ágnes Márk. The network helps show where Ágnes Márk may publish in the future.
Co-authors
The 25 scholars most cited alongside Ágnes Márk, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 49 | |
| 2 | 2013 | 31 | |
| 3 | 2016 | 28 | |
| 4 | 2013 | 25 | |
| 5 | 2012 | 24 | |
| 6 | 2011 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2012 | 20 | |
| 9 | 2016 | 19 | |
| 10 | 2014 | 13 | |
| 11 | 1984 | 12 | |
| 12 | 2018 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2011 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2016 | 3 | |
| 20 | 2024 | 2 |
About Ágnes Márk
Ágnes Márk is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Immunology, having authored 26 papers that have together received 319 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Protein Degradation and Inhibitors (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cancer Research (66 citations), Genetics (38 citations), Gastroenterology (16 citations), Molecular Biology (173 citations) and Hematology (26 citations). Ágnes Márk has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Anna Sebestyén, László Kopper, Noémi Nagy, Monika Csóka, Karolina Nemes, Gábor Barna, Melinda Hajdu, Gábor Kovács, Titanilla Dankó and Ildikó Krencz. Their work appears in journals such as Pathology & Oncology Research, Hematological Oncology, Cancer Cell International, PLoS ONE and Cytometry Part A.
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.