Jae‐Cheol Jo

2.9k citations
134 papers · 1.4k indexed · h-index 20

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 29
    • Hematopoietic Stem Cell Transplantation 17
    • Acute Myeloid Leukemia Research 15
    • Chronic Myeloid Leukemia Treatments 11
    • Viral-associated cancers and disorders 25

Jae‐Cheol Jo

124 papers receiving 1.4k citations

Peers

Jae‐Cheol Jo
Comparison fields: 5 of 91
  • Hematology 371
  • Pathology and Forensic Medicine 469
  • Oncology 682
  • Genetics 220
  • Gastroenterology 61
Replace Jae‐Yong Kwak with:
Jae‐Yong Kwak South Korea
William J. Edenfield United States
Ajay Gogia India
Christoph Losem Germany
H. Curé France
Sun Jin Sym South Korea
Yan Qin China
R. Fleischmann United States
Michael Fanucchi United States
Joy Schechtman United States
Jae‐Cheol Jo relative to Jae‐Yong Kwak South Korea Jae‐Yong Kwak's profile →
Citations per field
00.5×1.5×2.3×
Jae‐Yong Kwak · 1×
Citations per year

Countries citing papers authored by Jae‐Cheol Jo

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Cheol Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Cheol Jo. 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 Jae‐Cheol Jo. The network helps show where Jae‐Cheol Jo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20245
4 20234
5 20232
6 20232
7 20232
8 20231
9 20231
10 20222
11 202114
12 20207
13 20194
14 20192
15 20171
16 20177
17 20171
18 201522
19 20124
20 20083

About Jae‐Cheol Jo

Jae‐Cheol Jo is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Immunology, having authored 134 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (41 papers), Multiple Myeloma Research and Treatments (29 papers), Viral-associated cancers and disorders (25 papers), Hematopoietic Stem Cell Transplantation (17 papers), Acute Myeloid Leukemia Research (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Protein Degradation and Inhibitors (11 papers) and Chronic Myeloid Leukemia Treatments (11 papers). The work is most often cited by research in Hematology (371 citations), Pathology and Forensic Medicine (469 citations), Oncology (682 citations), Genetics (220 citations) and Gastroenterology (61 citations). Jae‐Cheol Jo has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Yunsuk Choi, Hawk Kim, Cheolwon Suh, Eui‐Kyu Noh, Young Joo Min, Sook‐Kyoung Heo, Su‐Jin Koh, Dok Hyun Yoon, Jin Ho Baek and Hee Jeong. Their work appears in journals such as Annals of Hematology, Blood, International Journal of Hematology, PLoS ONE and Scientific Reports.

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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