Havell Markus
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 3
- Genetic and phenotypic traits in livestock 1
-
- Cancer Genomics and Diagnostics 5
- MicroRNA in disease regulation 1
- Co-authors
- Tania Contente‐Cuomo (4 shared papers)Muhammed Murtaza (4 shared papers)Aleksandar Sekulić (1 shared paper)Maria Farooq (2 shared papers)Shivan Sivakumar (1 shared paper)Antoni Ribas (1 shared paper)Jeffrey M. Trent (1 shared paper)Alan H. Bryce (1 shared paper)
- Journals
- Nature Communications (5 papers)Scientific Reports (2 papers)Cell Genomics (1 paper)Pediatric Pulmonology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesMyanmarUnited Kingdom
In The Last Decade
Havell Markus
17 papers receiving 263 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 177
- Transplantation 6
- Oncology 58
- Pathology and Forensic Medicine 35
- Molecular Biology 130
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 | 107 | |
| 2 | 2021 | 52 | |
| 3 | 2022 | 33 | |
| 4 | 2023 | 26 | |
| 5 | 2022 | 12 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 |
About Havell Markus
Havell Markus is a scholar working on Genetics, Cancer Research, Molecular Biology, Rheumatology and Pathology and Forensic Medicine, having authored 17 papers that have together received 265 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Genetic Associations and Epidemiology (3 papers), Systemic Lupus Erythematosus Research (3 papers), Health, Environment, Cognitive Aging (2 papers), MicroRNA in disease regulation (1 paper), Genetic and phenotypic traits in livestock (1 paper), Genetic factors in colorectal cancer (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Cancer Research (177 citations), Transplantation (6 citations), Oncology (58 citations), Pathology and Forensic Medicine (35 citations) and Molecular Biology (130 citations). Havell Markus has collaborated with scholars based in United States, Myanmar and United Kingdom. Frequent co-authors include Tania Contente‐Cuomo, Muhammed Murtaza, Aleksandar Sekulić, Maria Farooq, Shivan Sivakumar, Antoni Ribas, Jeffrey M. Trent, Alan H. Bryce, Nhan L. Tran and Harshil Dhruv. Their work appears in journals such as Nature Communications, Scientific Reports, Cell Genomics, Pediatric Pulmonology and Science Translational Medicine.
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.