Richárd Márkus
Impact in
- Immunology and Allergy top 2%
- Allergic Rhinitis and Sensitization
- Immunology top 5%
- Biosimilars and Bioanalytical Methods
Papers in
- Immunology 11
- Biosimilars and Bioanalytical Methods 11
- Oncology 9
- Bone health and treatments 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Vincent Chow (11 shared papers)Primal Kaur (6 shared papers)Karim Fizazi (3 shared papers)Maureen J. Lage (2 shared papers)Beth Barber (2 shared papers)Tomáš Skácel (2 shared papers)Guozhi Gao (2 shared papers)Linda D. Bosserman (3 shared papers)
- Journals
- The Journal of Urology (4 papers)Journal of Clinical Oncology (3 papers)Cancer Chemotherapy and Pharmacology (3 papers)Annals of the Rheumatic Diseases (3 papers)Urology (2 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Richárd Márkus
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Immunology and Allergy 191
- Immunology 390
- Dermatology 82
- Oncology 243
- Physiology 205
Countries citing papers authored by Richárd Márkus
This map shows the geographic impact of Richárd Márkus'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 Richárd Márkus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richárd Márkus more than expected).
Fields of papers citing papers by Richárd Márkus
This network shows the impact of papers produced by Richárd Márkus. 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 Richárd Márkus. The network helps show where Richárd Márkus may publish in the future.
Co-authors
The 25 scholars most cited alongside Richárd Márkus, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 255 | |
| 2 | 2011 | 111 | |
| 3 | 2009 | 110 | |
| 4 | 2006 | 89 | |
| 5 | 2017 | 84 | |
| 6 | 2007 | 76 | |
| 7 | 2009 | 72 | |
| 8 | 2016 | 66 | |
| 9 | 2012 | 57 | |
| 10 | 2017 | 36 | |
| 11 | 2009 | 32 | |
| 12 | 2017 | 32 | |
| 13 | 2019 | 24 | |
| 14 | 2007 | 22 | |
| 15 | 2018 | 16 | |
| 16 | 1995 | 14 | |
| 17 | 2014 | 9 | |
| 18 | 2014 | 9 | |
| 19 | 2016 | 7 | |
| 20 | 2019 | 7 |
About Richárd Márkus
Richárd Márkus is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Statistics and Probability, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Statistical Methods in Clinical Trials (4 papers), Bone health and treatments (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Prostate Cancer Treatment and Research (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Immunology and Allergy (191 citations), Immunology (390 citations), Dermatology (82 citations), Oncology (243 citations) and Physiology (205 citations). Richárd Márkus has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Vincent Chow, Primal Kaur, Karim Fizazi, Maureen J. Lage, Beth Barber, Tomáš Skácel, Guozhi Gao, Linda D. Bosserman, Shravanthi R. Gandra and Vladimir Hanes. Their work appears in journals such as The Journal of Urology, Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology, Annals of the Rheumatic Diseases and Urology.
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.