Sunhee Ro
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
-
- Protein Degradation and Inhibitors 3
- Gene expression and cancer classification 2
- Genetics 7
- Chronic Lymphocytic Leukemia Research 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Heinz Ludwig (3 shared papers)Roman Hájek (3 shared papers)Barbara Klencke (2 shared papers)Ola Landgren (1 shared paper)Bruno Paiva (1 shared paper)María‐Victoria Mateos (1 shared paper)Hervé Avet‐Loiseau (1 shared paper)Richard Bryce (1 shared paper)
- Journals
- Blood (7 papers)Journal of Clinical Oncology (2 papers)Therapeutic Innovation & Regulatory Science (2 papers)Blood Advances (1 paper)Blood Cancer Journal (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Sunhee Ro
18 papers receiving 379 citations
Peers
Comparison fields: 5 of 46
- Hematology 198
- Oncology 133
- Genetics 44
- Molecular Biology 200
- Cardiology and Cardiovascular Medicine 44
Countries citing papers authored by Sunhee Ro
This map shows the geographic impact of Sunhee Ro'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 Sunhee Ro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunhee Ro more than expected).
Fields of papers citing papers by Sunhee Ro
This network shows the impact of papers produced by Sunhee Ro. 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 Sunhee Ro. The network helps show where Sunhee Ro may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunhee Ro, 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 | 2019 | 81 | |
| 2 | 2012 | 66 | |
| 3 | 2006 | 51 | |
| 4 | 2018 | 51 | |
| 5 | 2017 | 44 | |
| 6 | 2012 | 43 | |
| 7 | 2020 | 11 | |
| 8 | 2011 | 10 | |
| 9 | 2005 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2005 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2022 | 0 |
About Sunhee Ro
Sunhee Ro is a scholar working on Molecular Biology, Genetics, Hematology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Protein Degradation and Inhibitors (3 papers), Gene expression and cancer classification (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Statistical Methods in Clinical Trials (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (198 citations), Oncology (133 citations), Genetics (44 citations), Molecular Biology (200 citations) and Cardiology and Cardiovascular Medicine (44 citations). Sunhee Ro has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Heinz Ludwig, Roman Hájek, Barbara Klencke, Ola Landgren, Bruno Paiva, María‐Victoria Mateos, Hervé Avet‐Loiseau, Richard Bryce, Kefei Zhou and C.G. Morris. Their work appears in journals such as Blood, Journal of Clinical Oncology, Therapeutic Innovation & Regulatory Science, Blood Advances and Blood Cancer Journal.
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.