Yong Mun

795 citations
43 papers · 464 indexed · h-index 11

Yong Mun

38 papers receiving 460 citations

Peers

Yong Mun
Comparison fields: 5 of 60
  • Oncology 313
  • Hepatology 50
  • Genetics 54
  • Pathology and Forensic Medicine 79
  • Pulmonary and Respiratory Medicine 115
Replace Tuan S. Nguyen with:
Tuan S. Nguyen United States
D. P. Ryan United States
M. Versola United States
Bethany Sleckman United States
Michelle Purdom United States
Rabih Said United States
Eugene Paschold United States
Dominic Smethurst United Kingdom
Chen‐Yang Huang Taiwan
K. Nathan Sankar United States
Yong Mun relative to Tuan S. Nguyen United States Tuan S. Nguyen's profile →
Citations per field
00.5×1.5×2.3×
Tuan S. Nguyen · 1×
Citations per year

Countries citing papers authored by Yong Mun

Since Specialization
Citations

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

Fields of papers citing papers by Yong Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 202211
5 20210
6 20208
7 202011
8 20201
9 20198
10 201919
11 201720
12 20163
13 20150
14 20154
15 201424
16 201453
17 201279
18
Advances in conducting retrospective chart review studies: use of electronic report forms and database in a community study in anemic patients with myelodysplastic syndrome.
20062
19 20043
20 200348

About Yong Mun

Yong Mun is a scholar working on Genetics, Otorhinolaryngology, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 464 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Cancer Treatment and Pharmacology (9 papers), Melanoma and MAPK Pathways (9 papers), Colorectal Cancer Treatments and Studies (8 papers), Cutaneous Melanoma Detection and Management (6 papers), Computational Drug Discovery Methods (4 papers) and Head and Neck Cancer Studies (4 papers). The work is most often cited by research in Oncology (313 citations), Hepatology (50 citations), Genetics (54 citations), Pathology and Forensic Medicine (79 citations) and Pulmonary and Respiratory Medicine (115 citations). Yong Mun has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Herbert I. Hurwitz, Tanios Bekaii‐Saab, E. Dawn Flick, Johanna C. Bendell, Susan Fish, Allen Lee Cohn, Nancy Roach, Éduardo Bruera, J. Lynn Palmer and Antoni Ribas. Their work appears in journals such as Journal of Clinical Oncology, Blood, European Journal of Cancer, JAMA Oncology and British Journal of Cancer.

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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