Young Rok

3.9k citations
122 papers · 1.3k · h-index 20

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Oncology top 10%
    • Viral-associated cancers and disorders

Papers in

Young Rok

110 papers receiving 1.3k citations

Peers

Young Rok
Comparison fields: 5 of 96
  • Hematology 216
  • Oncology 368
  • Pathology and Forensic Medicine 217
  • Genetics 126
  • Public Health, Environmental and Occupational Health 225
Replace Sang Kyun Sohn with:
Sang Kyun Sohn South Korea
Eun‐Kee Song South Korea
Jonas Paludo United States
Atul Sharma India
Riad El Fakih Saudi Arabia
Jeanna Welborn United States
Harinder Gill Hong Kong
Tenali Gnana Sagar India
Norbert Marschner Germany
Shin Kim South Korea
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 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 200564
3 201162
4 201951
5 200836
6 200730
7 201730
8 201329
9 200928
10 201228
11 201826
12 201726
13 201825
14 200725
15 201524
16 202023
17 200422
18 200921
19 201221
20 200619

About Young Rok

Young Rok is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (32 papers), Chronic Lymphocytic Leukemia Research (17 papers), Chronic Myeloid Leukemia Treatments (16 papers), Multiple Myeloma Research and Treatments (15 papers), Acute Myeloid Leukemia Research (9 papers), Viral-associated cancers and disorders (8 papers), Palliative Care and End-of-Life Issues (8 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (216 citations), Oncology (368 citations), Pathology and Forensic Medicine (217 citations), Genetics (126 citations) and Public Health, Environmental and Occupational Health (225 citations). Young Rok has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hong Song, Young Ho Yun, Kyung Hae Jung, Jong Gwang Kim, Dae Seog Heo, Sangyoon Park, Jong Soo Choi, Myung Kyung Lee, 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 Journal of Clinical Oncology.

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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