Bin Cho

2.9k citations
197 papers · 2.3k · h-index 23

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Autoimmune and Inflammatory Disorders Research
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Blood disorders and treatments

Papers in

Bin Cho

186 papers receiving 2.2k citations

Peers

Bin Cho
Comparison fields: 5 of 92
  • Hematology 913
  • Genetics 175
  • Oncology 219
  • Public Health, Environmental and Occupational Health 308
  • Molecular Medicine 40
Replace Yoo‐Jin Kim with:
Yoo‐Jin Kim South Korea
Adrian Goycoolea
Emilio Paolo Alessandrino Italy
Noriko Doki Japan
Luís Madero Spain
Takuya Yamashita Japan
N. K. C. Ramsay United States
Hendrik O. Nieweg Netherlands
Hamid A B Al-Mondhiry United States
José Orlando Bordin Brazil
Bin Cho relative to Yoo‐Jin Kim South Korea Yoo‐Jin Kim's profile →
Citations per field
00.5×1.5×
Yoo‐Jin Kim · 1×
Citations per year

Countries citing papers authored by Bin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 200476
3 201969
4 201461
5 200257
6 201253
7 200751
8 201351
9 201751
10 201748
11 201347
12 201642
13 201035
14 200833
15 201033
16 200031
17 201628
18 201928
19 201327
20 201126

About Bin Cho

Bin Cho is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Epidemiology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 197 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (51 papers), Acute Lymphoblastic Leukemia research (31 papers), Acute Myeloid Leukemia Research (22 papers), Blood disorders and treatments (10 papers), Autoimmune and Inflammatory Disorders Research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Neutropenia and Cancer Infections (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Hematology (913 citations), Genetics (175 citations), Oncology (219 citations), Public Health, Environmental and Occupational Health (308 citations) and Molecular Medicine (40 citations). Bin Cho has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Jae Wook Lee, Nack‐Gyun Chung, Nak Gyun Chung, Seongkoo Kim, Pil‐Sang Jang, Hack-Ki Kim, Dae Chul Jeong, Myungshin Kim, Jin Han Kang and Hack Ki Kim. Their work appears in journals such as Korean Journal of Pediatrics, Journal of Pediatric Hematology/Oncology, Journal of Korean Medical Science, Bone Marrow Transplantation and Transplantation and Cellular Therapy.

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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