Miklós Egyed
Impact in
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 64
- Myeloproliferative Neoplasms: Diagnosis and Treatment 46
- Chronic Lymphocytic Leukemia Research 18
- Hematology 43
- Chronic Myeloid Leukemia Treatments 20
- Multiple Myeloma Research and Treatments 14
- Acute Myeloid Leukemia Research 8
- Co-authors
- Jean‐Jacques Kiladjian (20 shared papers)Timothy Devos (10 shared papers)Ruben A. Mesa (14 shared papers)Heinz Gisslinger (18 shared papers)Alessandro M. Vannucchi (14 shared papers)Roman Hájek (7 shared papers)Elena Tóthová (6 shared papers)Heinz Ludwig (6 shared papers)
- Journals
- Blood (22 papers)Journal of Clinical Oncology (9 papers)European Journal Of Haematology (5 papers)Pathology & Oncology Research (3 papers)The Lancet Haematology (2 papers)
- Partner nations
- HungaryFranceUnited States
In The Last Decade
Miklós Egyed
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 70
- Genetics 1.0k
- Hematology 997
- Rheumatology 326
- Pathology and Forensic Medicine 193
- Oncology 282
Countries citing papers authored by Miklós Egyed
This map shows the geographic impact of Miklós Egyed'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 Miklós Egyed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miklós Egyed more than expected).
Fields of papers citing papers by Miklós Egyed
This network shows the impact of papers produced by Miklós Egyed. 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 Miklós Egyed. The network helps show where Miklós Egyed may publish in the future.
Co-authors
The 25 scholars most cited alongside Miklós Egyed, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 246 | |
| 2 | 2017 | 228 | |
| 3 | 2016 | 184 | |
| 4 | 2008 | 156 | |
| 5 | 2019 | 143 | |
| 6 | 2010 | 108 | |
| 7 | 2010 | 50 | |
| 8 | 2018 | 42 | |
| 9 | 2004 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2015 | 27 | |
| 12 | 2016 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2015 | 19 | |
| 16 | 2021 | 17 | |
| 17 | 2007 | 17 | |
| 18 | 2018 | 15 | |
| 19 | 2024 | 15 | |
| 20 | 2020 | 14 |
About Miklós Egyed
Miklós Egyed is a scholar working on Genetics, Hematology, Molecular Biology, Rheumatology and Oncology, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (46 papers), Chronic Myeloid Leukemia Treatments (20 papers), Chronic Lymphocytic Leukemia Research (18 papers), Eosinophilic Disorders and Syndromes (17 papers), Lymphoma Diagnosis and Treatment (15 papers), Multiple Myeloma Research and Treatments (14 papers), Acute Myeloid Leukemia Research (8 papers) and Kruppel-like factors research (6 papers). The work is most often cited by research in Genetics (1.0k citations), Hematology (997 citations), Rheumatology (326 citations), Pathology and Forensic Medicine (193 citations) and Oncology (282 citations). Miklós Egyed has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include Jean‐Jacques Kiladjian, Timothy Devos, Ruben A. Mesa, Heinz Gisslinger, Alessandro M. Vannucchi, Roman Hájek, Elena Tóthová, Heinz Ludwig, Niklas Zojer and Richard Greil. Their work appears in journals such as Blood, Journal of Clinical Oncology, European Journal Of Haematology, Pathology & Oncology Research and The Lancet Haematology.
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.