Havell Markus
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
-
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 6
- Genetics 7
- Genetic Associations and Epidemiology 4
- Diabetes and associated disorders 1
- Co-authors
- Muhammed Murtaza (4 shared papers)Tania Contente‐Cuomo (3 shared papers)Simon Gollins (1 shared paper)Alan Haruo Bryce (1 shared paper)Antoni Ribas (1 shared paper)Patricia Mucci LoRusso (1 shared paper)Shivan Sivakumar (1 shared paper)Michael Berens (1 shared paper)
- Journals
- Nature Communications (6 papers)Science Translational Medicine (2 papers)Scientific Reports (2 papers)Journal of Hypertension (1 paper)Annals of Intensive Care (1 paper)
- Partner nations
- United StatesUnited KingdomMyanmar
In The Last Decade
Havell Markus
20 papers receiving 470 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 276
- Oncology 113
- Pathology and Forensic Medicine 49
- Molecular Biology 187
- Pulmonary and Respiratory Medicine 74
Countries citing papers authored by Havell Markus
This map shows the geographic impact of Havell Markus'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 Havell Markus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Havell Markus more than expected).
Fields of papers citing papers by Havell Markus
This network shows the impact of papers produced by Havell Markus. 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 Havell Markus. The network helps show where Havell Markus may publish in the future.
Co-authors
The 25 scholars most cited alongside Havell Markus, 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 | 2018 | 119 | |
| 2 | 2019 | 93 | |
| 3 | 2021 | 69 | |
| 4 | 2022 | 42 | |
| 5 | 2023 | 40 | |
| 6 | 2023 | 38 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2025 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Havell Markus
Havell Markus is a scholar working on Cancer Research, Genetics, Rheumatology, Pathology and Forensic Medicine and Immunology, having authored 20 papers that have together received 475 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic Associations and Epidemiology (4 papers), Systemic Lupus Erythematosus Research (3 papers), Hormonal Regulation and Hypertension (2 papers), Genetic factors in colorectal cancer (2 papers), Health, Environment, Cognitive Aging (2 papers), Renin-Angiotensin System Studies (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cancer Research (276 citations), Oncology (113 citations), Pathology and Forensic Medicine (49 citations), Molecular Biology (187 citations) and Pulmonary and Respiratory Medicine (74 citations). Havell Markus has collaborated with scholars based in United States, United Kingdom and Myanmar. Frequent co-authors include Muhammed Murtaza, Tania Contente‐Cuomo, Simon Gollins, Alan Haruo Bryce, Antoni Ribas, Patricia Mucci LoRusso, Shivan Sivakumar, Michael Berens, Nhan L. Tran and Maria Farooq. Their work appears in journals such as Nature Communications, Science Translational Medicine, Scientific Reports, Journal of Hypertension and Annals of Intensive Care.
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.