Sunhee Ro

1.4k citations
19 papers · 380 indexed · h-index 8

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research

Papers in

    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3
    • Multiple Myeloma Research and Treatments 6

Sunhee Ro

18 papers receiving 371 citations

Peers

Sunhee Ro
Comparison fields: 5 of 51
  • Hematology 213
  • Oncology 178
  • Genetics 54
  • Molecular Biology 229
  • Cardiology and Cardiovascular Medicine 53
Replace Thomas G Martin with:
Thomas G Martin United States
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Anjali Vaze United States
Tomáš Pika Czechia
Anri Tienhaara Finland
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Sunhee Ro relative to Thomas G Martin United States Thomas G Martin's profile →
Citations per field
00.5×1.7×
Thomas G Martin · 1×
Citations per year

Countries citing papers authored by Sunhee Ro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sunhee Ro Line = papers co-authored together Sunhee Ro links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201976
2 201266
3 201850
4 200649
5 201744
6 201243
7 202011
8 201110
9 20057
10 20206
11 20155
12 20233
13 20203
14 20172
15 20052
16 20221
17 20241
18 20211
19 20220

About Sunhee Ro

Sunhee Ro is a scholar working on Genetics, Hematology, Statistics and Probability, Molecular Biology and Oncology, having authored 19 papers that have together received 380 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer Treatment and Pharmacology (2 papers), Statistical Methods in Clinical Trials (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Hematology (213 citations), Oncology (178 citations), Genetics (54 citations), Molecular Biology (229 citations) and Cardiology and Cardiovascular Medicine (53 citations). Sunhee Ro has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Heinz Ludwig, Roman Hájek, Barbara Klencke, Richard Bryce, Kefei Zhou, Bruno Paiva, Hui Yang, C.G. Morris, Hervé Avet‐Loiseau and María‐Victoria Mateos. Their work appears in journals such as Blood, Journal of Clinical Oncology, Therapeutic Innovation & Regulatory Science, European Journal of Cancer and BMC Cancer.

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.

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