Young Rok

3.7k citations
117 papers · 1.2k · h-index 20

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 17
    • Multiple Myeloma Research and Treatments 16
    • Acute Myeloid Leukemia Research 10
    • Viral-associated cancers and disorders 11

Young Rok

105 papers receiving 1.2k citations

Peers

Young Rok
Comparison fields: 5 of 103
  • Hematology 232
  • Oncology 503
  • Genetics 158
  • Pathology and Forensic Medicine 254
  • Public Health, Environmental and Occupational Health 348
Replace Sang Kyun Sohn with:
Sang Kyun Sohn South Korea
Eun‐Kee Song South Korea
Andrew Lister United Kingdom
Tenali Gnana Sagar India
David Andorsky United States
Chi Hoon Maeng South Korea
Catharina Eriksson Sweden
Berna Öksüzoğlu Türkiye
Jonas Paludo United States
Riad El Fakih Saudi Arabia
Young Rok relative to Sang Kyun Sohn South Korea Sang Kyun Sohn's profile →
Citations per field
00.5×
Sang Kyun Sohn · 1×
Citations per year

Countries citing papers authored by Young Rok

Since Specialization
Citations

This map shows the geographic impact of Young Rok'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 Young Rok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Rok more than expected).

Fields of papers citing papers by Young Rok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Rok. 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 Young Rok. The network helps show where Young Rok may publish in the future.

Co-authors

The 25 scholars most cited alongside Young Rok, 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 Young Rok Line = papers co-authored together Young Rok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010132
2 200564
3 201161
4 201948
5 200836
6 200730
7 201329
8 201729
9 201228
10 200926
11 200725
12 201825
13 201824
14 201524
15 201723
16 202022
17 200422
18 200921
19 201221
20 200619

About Young Rok

Young Rok is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 117 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (35 papers), Chronic Lymphocytic Leukemia Research (24 papers), Chronic Myeloid Leukemia Treatments (17 papers), Multiple Myeloma Research and Treatments (16 papers), Viral-associated cancers and disorders (11 papers), Palliative Care and End-of-Life Issues (11 papers), Acute Myeloid Leukemia Research (10 papers) and Gastric Cancer Management and Outcomes (9 papers). The work is most often cited by research in Hematology (232 citations), Oncology (503 citations), Genetics (158 citations), Pathology and Forensic Medicine (254 citations) and Public Health, Environmental and Occupational Health (348 citations). Young Rok has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hong Song, Young Ho Yun, Kyung Hae Jung, Jong Gwang Kim, Dae Seog Heo, Jong Soo Choi, Myung Kyung Lee, Sangyoon Park, Samyong Kim and Sang Kyun Sohn. Their work appears in journals such as Blood, Annals of Hematology, Cancer Research and Treatment, Cancer Chemotherapy and Pharmacology and British Journal of Haematology.

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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