Jun Ho Yi

2.3k citations
92 papers · 1.6k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research

Papers in

Jun Ho Yi

84 papers receiving 1.6k citations

Peers

Jun Ho Yi
Comparison fields: 5 of 109
  • Cancer Research 261
  • Oncology 447
  • Pathology and Forensic Medicine 238
  • Gastroenterology 61
  • Biomaterials 123
Replace Yi‐Jun Wang with:
Yi‐Jun Wang United States
Changhua Zhang China
Lei Tao China
Shuiping Tu China
Haiyan Yang China
Chris Tselepis United Kingdom
Yao Yuan China
Masamichi Mizuma Japan
Herman Burger Netherlands
Jun Ho Yi relative to Yi‐Jun Wang United States Yi‐Jun Wang's profile →
Citations per field
00.5×4.7×
Yi‐Jun Wang · 1×
Citations per year

Countries citing papers authored by Jun Ho Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ho Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Ho Yi. 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 Jun Ho Yi. The network helps show where Jun Ho Yi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011124
2 2011104
3 201177
4 201462
5 201160
6 201951
7 201448
8 201641
9 201341
10 201640
11 201340
12 201738
13 201537
14 201835
15 201435
16 200934
17 201233
18 201130
19 201027
20 201426

About Jun Ho Yi

Jun Ho Yi is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Hematology and Genetics, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (5 papers), Viral-associated cancers and disorders (5 papers), Acute Myeloid Leukemia Research (5 papers), CAR-T cell therapy research (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (261 citations), Oncology (447 citations), Pathology and Forensic Medicine (238 citations), Gastroenterology (61 citations) and Biomaterials (123 citations). Jun Ho Yi has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Seok Jin Kim, Won Seog Kim, Bohong Guo, Do Hyoung Lim, Se Hoon Park, Ho Yeong Lim, Joon Oh Park, Won Ki Kang, Haitao Zhang and Youbei Qiao. Their work appears in journals such as Annals of Hematology, Cancer Research and Treatment, Blood, Oncotarget and Drug Design Development and 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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