Bin Cho

2.9k citations
168 papers · 1.8k · h-index 21

Impact in

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

Papers in

Bin Cho

156 papers receiving 1.7k citations

Peers

Bin Cho
Comparison fields: 5 of 103
  • Hematology 661
  • Genetics 299
  • Public Health, Environmental and Occupational Health 331
  • Pediatrics, Perinatology and Child Health 200
  • Oncology 273
Replace F Bonetti with:
F Bonetti Italy
Nack‐Gyun Chung South Korea
Jean‐Hugues Dalle France
Anna Paola Iori Italy
Éolia Brissot France
Arcangelo Prete Italy
Isidro Jarque Spain
Jeffery J. Auletta United States
Francesc Fernández‐Avilés Spain
Maura Faraci Italy
Bin Cho relative to F Bonetti Italy F Bonetti's profile →
Citations per field
00.5×4.6×
F Bonetti · 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 168 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007103
2 200476
3 201966
4 201454
5 201251
6 200749
7 200249
8 201747
9 201746
10 201034
11 200032
12 200830
13 201029
14 201325
15 201625
16 201023
17 200623
18 201921
19 200921
20 201321

About Bin Cho

Bin Cho is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Oncology and Epidemiology, having authored 168 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (40 papers), Acute Lymphoblastic Leukemia research (39 papers), Acute Myeloid Leukemia Research (28 papers), Childhood Cancer Survivors' Quality of Life (18 papers), Chronic Myeloid Leukemia Treatments (11 papers), Cytomegalovirus and herpesvirus research (10 papers), Neutropenia and Cancer Infections (10 papers) and Polyomavirus and related diseases (6 papers). The work is most often cited by research in Hematology (661 citations), Genetics (299 citations), Public Health, Environmental and Occupational Health (331 citations), Pediatrics, Perinatology and Child Health (200 citations) and Oncology (273 citations). Bin Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jae Wook Lee, Nack‐Gyun Chung, Nak Gyun Chung, Seongkoo Kim, Dae Chul Jeong, Myungshin Kim, Jin Han Kang, Hack Ki Kim, Hack-Ki Kim and Seung Beom Han. Their work appears in journals such as Korean Journal of Pediatrics, Journal of Pediatric Hematology/Oncology, Journal of Korean Medical Science, Blood and Annals of Laboratory Medicine.

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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