Sang Eun Yoon

1.7k total citations
102 papers, 949 citations indexed

About

Sang Eun Yoon is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Sang Eun Yoon has authored 102 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pathology and Forensic Medicine, 52 papers in Oncology and 20 papers in Immunology. Recurrent topics in Sang Eun Yoon's work include Lymphoma Diagnosis and Treatment (68 papers), Viral-associated cancers and disorders (19 papers) and CNS Lymphoma Diagnosis and Treatment (16 papers). Sang Eun Yoon is often cited by papers focused on Lymphoma Diagnosis and Treatment (68 papers), Viral-associated cancers and disorders (19 papers) and CNS Lymphoma Diagnosis and Treatment (16 papers). Sang Eun Yoon collaborates with scholars based in South Korea, United States and Singapore. Sang Eun Yoon's co-authors include Seok Jin Kim, Won Seog Kim, Junhun Cho, Young Hyeh Ko, Kyung Ju Ryu, Woong‐Yang Park, Duck Cho, Ho Yeong Lim, Yeon Jeong Kim and Ji Young Lee and has published in prestigious journals such as Blood, Cancer and Advanced Energy Materials.

In The Last Decade

Sang Eun Yoon

90 papers receiving 943 citations

Peers

Sang Eun Yoon

ONCOL

PFM

IMMUN

Daoud Rahal Italy

Masahiro Yokoyama Japan

Tatsuya Suzuki Japan

Myung Hee Chang South Korea

F. Morschhauser France

Sara Rattotti Italy

M. Jesús Nambo Mexico

H Weinstein United States

Thomas Wündisch Germany

M. Testi Italy

Daoud Rahal Italy

Sang Eun Yoon

598 ×1.1

ONCOL

276 ×0.6

PFM

214 ×0.8

IMMUN

93 ×0.6

126 ×0.9

Citations per year, relative to Sang Eun Yoon Sang Eun Yoon (= 1×) peers Daoud Rahal

Countries citing papers authored by Sang Eun Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Sang Eun Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Eun Yoon. 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 Sang Eun Yoon. The network helps show where Sang Eun Yoon may publish in the future.

Co-authorship network of co-authors of Sang Eun Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Eun Yoon. A scholar is included among the top collaborators of Sang Eun Yoon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang Eun Yoon. Sang Eun Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yoon, Sang Eun, et al.. (2025). Detection of HIV RNA after CAR-T Cell Therapy in A Relapsed/refractory Diffuse Large B-cell Lymphoma Patient: Possibility of False Positivity and Clinical Implications. Cancer Research and Treatment. 1 indexed citations

Kim, Eun Ran, Ga Yeon Lee, Sang Eun Yoon, et al.. (2025). Endoscopic Features of Gastrointestinal Amyloidosis: A Proposed Endoscopic Classification. Gut and Liver. 19(4). 592–601.

Kim, Darae, David Hong, Sang Eun Yoon, et al.. (2025). Real-World Efficacy of Tafamidis in Korean ATTR-CM Patients: A Retrospective Observational Strain Analysis. Korean Circulation Journal. 56(3). 232–232.

Kim, Boram, et al.. (2025). Flow Cytometric Assessment of TRBC1 Expression for the Diagnosis of T‐Cell Lymphoma: Clinical Utility and Pitfalls Related to T‐Cell Clones of Uncertain Significance. International Journal of Laboratory Hematology. 47(5). 840–848.

Yoon, Sang Eun, et al.. (2024). Feasibility of Circulating Tumor DNA Analysis in Patients with Follicular Lymphoma. Cancer Research and Treatment. 56(3). 920–935. 6 indexed citations

Ryu, Kyung Ju, et al.. (2024). Exosomal miR-155-5p drives ibrutinib resistance in B-cell lymphoma. Experimental Cell Research. 442(2). 114248–114248. 2 indexed citations

Goldstein, Jordan, Mark Roschewski, Won-Seog Kim, et al.. (2024). Baseline Prognostic Factors Do Not Predict End of Treatment Ctdna MRD Status and Have Limited Impact on MRD Prognostic Performance in DLBCL. Blood. 144(Supplement 1). 651–651.

Kim, Seok Jin, Jin Ju Kim, Kyung Ju Ryu, et al.. (2024). Feasibility of Circulating Tumor DNA Detection in the Cerebrospinal Fluid of Patients With Central Nervous System Involvement in Large B-Cell Lymphoma. Annals of Laboratory Medicine. 45(1). 90–95. 2 indexed citations

Kim, Seok Jin, Sang Eun Yoon, & Won Seog Kim. (2024). Current Challenges in Chimeric Antigen Receptor T-cell Therapy in Patients With B-cell Lymphoid Malignancies. Annals of Laboratory Medicine. 44(3). 210–221. 5 indexed citations

10.

Yoon, Sang Eun, et al.. (2024). Primary Nodal Epstein-Barr Virus-Positive T-Cell/NK-Cell Lymphoma: Real-World Experience. Acta Haematologica. 147(6). 625–633. 2 indexed citations

11.

Lee, Ji Yun, Ji Hyun Kwon, Joon Young Hur, et al.. (2023). Pembrolizumab for Patients with Relapsed or Refractory Extranodal NK/T-Cell Lymphoma in Korea. Cancer Research and Treatment. 56(2). 681–687. 4 indexed citations

12.

Yoon, Sang Eun, et al.. (2023). A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma. Cancer Medicine. 12(15). 16359–16369. 7 indexed citations

13.

Kim, Hye Ryeon, Sang Eun Yoon, Darae Kim, et al.. (2022). Single Center Experience of Autologous Stem Cell Transplantation in Patients with Systemic Light Chain Amyloidosis in Korea. Clinical Lymphoma Myeloma & Leukemia. 23(2). 97–103. 1 indexed citations

14.

Jung, Sung‐Hoon, Kihyun Kım, Sang Eun Yoon, et al.. (2022). Validation of the revised diagnostic criteria for primary plasma cell leukemia by the Korean Multiple Myeloma Working Party. Blood Cancer Journal. 12(11). 157–157. 6 indexed citations

15.

Kim, Hyun‐Young, In Young Yoo, Hee‐Jin Kim, et al.. (2022). Clinical Utility of Next-Generation Flow-Based Minimal Residual Disease Assessment in Patients with Multiple Myeloma. Annals of Laboratory Medicine. 42(5). 558–565. 6 indexed citations

16.

Yoon, Sang Eun, Junhun Cho, Young Hyeh Ko, et al.. (2022). Comprehensive comparison of international prognostic indexes for follicular helper T-cell lymphoma. Annals of Hematology. 101(7). 1535–1543. 4 indexed citations

17.

Yoon, Sang Eun, Woorim Kang, Mauricio Chalita, et al.. (2021). Comprehensive Understanding of Gut Microbiota in Treatment Naïve Diffuse Large B Cell Lymphoma Patients. Blood. 138(Supplement 1). 2409–2409. 5 indexed citations

18.

Jo, Jae‐Cheol, Yoo Jin Lee, Sang Eun Yoon, et al.. (2021). Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and 18F-FDG PET/CT. Blood Cancer Journal. 11(12). 190–190. 14 indexed citations

19.

Yoon, Sang Eun, Junhun Cho, Won Seog Kim, & Seok Jin Kim. (2021). Impact of transformation on the survival of patients diagnosed with follicular lymphoma that progressed within 24 months. Journal of Cancer. 12(9). 2488–2497. 7 indexed citations

20.

Jeong, Hyehyun, Motoko Yamaguchi, Insuk Sohn, et al.. (2020). Prediction and prevention of central nervous system relapse in patients with extranodal natural killer/T-cell lymphoma. Blood. 136(22). 2548–2556. 17 indexed citations

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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