Yong‐Oon Ahn

1.7k total citations
45 papers, 1.4k citations indexed

About

Yong‐Oon Ahn is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Yong‐Oon Ahn has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 21 papers in Oncology and 10 papers in Hematology. Recurrent topics in Yong‐Oon Ahn's work include Immune Cell Function and Interaction (20 papers), Cancer Immunotherapy and Biomarkers (7 papers) and T-cell and B-cell Immunology (7 papers). Yong‐Oon Ahn is often cited by papers focused on Immune Cell Function and Interaction (20 papers), Cancer Immunotherapy and Biomarkers (7 papers) and T-cell and B-cell Immunology (7 papers). Yong‐Oon Ahn collaborates with scholars based in South Korea, United States and Ethiopia. Yong‐Oon Ahn's co-authors include Dae Seog Heo, Tae Min Kim, Bhumsuk Keam, Dong‐Wan Kim, Se‐Hoon Lee, Michael R. Verneris, Jeffrey S. Miller, Yoon Kyung Jeon, Bruce R. Blazar and Soyeon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Yong‐Oon Ahn

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yong‐Oon Ahn South Korea 21 676 646 336 296 133 45 1.4k
Diane Tseng United States 11 701 1.0× 803 1.2× 417 1.2× 275 0.9× 80 0.6× 21 1.5k
Jean Louis Ravetti Italy 19 576 0.9× 464 0.7× 415 1.2× 131 0.4× 78 0.6× 45 1.3k
Geralyn M. Meny United States 8 892 1.3× 995 1.5× 578 1.7× 163 0.6× 70 0.5× 19 1.7k
Yue Lu China 20 683 1.0× 436 0.7× 278 0.8× 110 0.4× 432 3.2× 51 1.2k
Jasmin Wellbrock Germany 20 494 0.7× 647 1.0× 494 1.5× 74 0.3× 120 0.9× 56 1.3k
Thomas Hawthorne United States 20 660 1.0× 421 0.7× 274 0.8× 243 0.8× 85 0.6× 40 1.2k
Denis M. Schewe Germany 18 632 0.9× 308 0.5× 653 1.9× 115 0.4× 66 0.5× 54 1.6k
Jeannine T. Holden United States 17 637 0.9× 282 0.4× 481 1.4× 122 0.4× 309 2.3× 24 1.6k
Joanna Ireland United States 8 1.1k 1.7× 1.3k 2.0× 530 1.6× 405 1.4× 55 0.4× 13 1.9k
Martin Illemann Denmark 19 608 0.9× 277 0.4× 373 1.1× 162 0.5× 63 0.5× 39 1.2k

Countries citing papers authored by Yong‐Oon Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Oon Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong‐Oon Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Oon Ahn. A scholar is included among the top collaborators of Yong‐Oon Ahn 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 Yong‐Oon Ahn. Yong‐Oon Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Seo, Seungmae, Yong‐Oon Ahn, Sagar L. Patil, et al.. (2025). Allelic bias contributes to heterogeneous phenotypes of NK cell deficiency. Cell Reports. 44(8). 116102–116102.
2.
Ahn, Yong‐Oon, Luis Alberto Pedroza, Seungmae Seo, et al.. (2024). Replication Stress in Activated Human NK Cells Induces Sensitivity to Apoptosis. The Journal of Immunology. 213(1). 40–51. 3 indexed citations
3.
Kim, Sung‐Min, Ju Han Kim, Young Seok Ju, et al.. (2022). Heterogeneous genetic landscape of congenital neutropenia in Korean patients revealed by whole exome sequencing: genetic, phenotypic and histologic correlations. Scientific Reports. 12(1). 7515–7515. 1 indexed citations
4.
Lee, Nuri, Sung‐Min Kim, Sung‐Soo Yoon, et al.. (2021). Prognostic value of integrated cytogenetic, somatic variation, and copy number variation analyses in Korean patients with newly diagnosed multiple myeloma. PLoS ONE. 16(2). e0246322–e0246322. 7 indexed citations
5.
Park, Hee Sue, Sung‐Min Kim, Kyongok Im, et al.. (2020). Ultradeep Sequencing Analysis of Paroxysmal Nocturnal Hemoglobinuria Clones Detected by Flow Cytometry:PIGMutation in Small PNH Clones. American Journal of Clinical Pathology. 156(1). 72–85. 2 indexed citations
6.
Ahn, Yong‐Oon, Tae Min Kim, Soyeon Kim, et al.. (2019). NK92-CD16 cells are cytotoxic to non-small cell lung cancer cell lines that have acquired resistance to tyrosine kinase inhibitors. Cytotherapy. 21(6). 603–611. 18 indexed citations
7.
Sim, Sung Hoon, Soyeon Kim, Tae Min Kim, et al.. (2017). Novel JAK3-Activating Mutations in Extranodal NK/T-Cell Lymphoma, Nasal Type. American Journal Of Pathology. 187(5). 980–986. 45 indexed citations
8.
Yang, Yaewon, Tae Min Kim, Yong‐Oon Ahn, et al.. (2016). Phase I Study of Random Healthy Donor–Derived Allogeneic Natural Killer Cell Therapy in Patients with Malignant Lymphoma or Advanced Solid Tumors. Cancer Immunology Research. 4(3). 215–224. 128 indexed citations
9.
Kim, Seongjun, et al.. (2016). Acquired resistance mechanisms to INC280, a MET inhibitor in MET-amplified lung cancer cells. European Journal of Cancer. 69. S135–S136. 1 indexed citations
10.
Kim, Tae Min, Dong‐Wan Kim, Soyeon Kim, et al.. (2015). Mechanisms of Acquired Resistance to AZD9291. Journal of Thoracic Oncology. 10(12). 1736–1744. 191 indexed citations
11.
Keam, Bhumsuk, Soyeon Kim, Yong‐Oon Ahn, et al.. (2015). In vitro anticancer activity of PI3K alpha selective inhibitor BYL719 in head and neck cancer.. PubMed. 35(1). 175–82. 45 indexed citations
12.
Lee, Kyung‐Mi, et al.. (2011). A possible mechanism of impaired NK cytotoxicity in cancer patients: Down-regulation of DAP10 by TGF-β1. Tumori. 97(3). 350–357. 18 indexed citations
13.
Ahn, Yong‐Oon, Jan Spanholtz, Hongbo Wang, et al.. (2011). Natural Killer Cell Differentiation from Hematopoietic Stem Cells: A Comparative Analysis of Heparin- and Stromal Cell–Supported Methods. Biology of Blood and Marrow Transplantation. 18(4). 536–545. 25 indexed citations
14.
Suh, Beomseok, Yong‐Oon Ahn, Tae Min Kim, et al.. (2011). CD15+/CD16low human granulocytes from terminal cancer patients: granulocytic myeloid-derived suppressor cells that have suppressive function. Tumor Biology. 33(1). 121–129. 62 indexed citations
15.
Sim, Sung Hoon, Yong‐Oon Ahn, Jieun Yoon, et al.. (2011). Influence of chemotherapy on nitric oxide synthase, indole‐amine‐2,3‐dioxygenase and CD124 expression in granulocytes and monocytes of non‐small cell lung cancer. Cancer Science. 103(2). 155–160. 23 indexed citations
16.
Ahn, Yong‐Oon, Brenda J. Weigel, & Michael R. Verneris. (2010). Killing the Killer: Natural Killer Cells to Treat Ewing's Sarcoma. Clinical Cancer Research. 16(15). 3819–3821. 21 indexed citations
17.
Ahn, Yong‐Oon, et al.. (2009). Presence of Membrane-Bound TGF-β1 and Its Regulation by IL-2-Activated Immune Cell-Derived IFN-γ in Head and Neck Squamous Cell Carcinoma Cell Lines. The Journal of Immunology. 182(10). 6114–6120. 13 indexed citations
18.
19.
Ahn, Yong‐Oon, Byung-Kyu Cho, Seung‐Ki Kim, et al.. (2006). Optic pathway glioma: outcome and prognostic factors in a surgical series. Child s Nervous System. 22(9). 1136–1142. 56 indexed citations
20.
Ahn, Yong‐Oon, et al.. (1997). Bobble-head doll syndrome associated with subduroperitoneal shunt malfunction. Child s Nervous System. 13(4). 234–237. 16 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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