Jae-Sook Ahn

620 total citations
19 papers, 388 citations indexed

About

Jae-Sook Ahn is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Jae-Sook Ahn has authored 19 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 7 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Jae-Sook Ahn's work include Acute Myeloid Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Jae-Sook Ahn is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Jae-Sook Ahn collaborates with scholars based in South Korea, Canada and United States. Jae-Sook Ahn's co-authors include Hyeoung‐Joon Kim, Yeo‐Kyeoung Kim, Je‐Jung Lee, Zhaolei Zhang, Marc S. Tyndel, Seung Hyun Choi, Tae‐Hyung Kim, Dennis Dong Hwan Kim, Jeffrey H. Lipton and Joon Ho Moon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Immunology.

In The Last Decade

Jae-Sook Ahn

19 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Sook Ahn South Korea 10 271 120 118 78 68 19 388
Seiichiro Katagiri Japan 14 207 0.8× 116 1.0× 199 1.7× 67 0.9× 65 1.0× 59 498
Yasmin Abaza United States 11 261 1.0× 87 0.7× 174 1.5× 67 0.9× 60 0.9× 54 391
Caterina De Benedittis Italy 13 319 1.2× 237 2.0× 64 0.5× 112 1.4× 40 0.6× 32 526
Riitta Niittyvuopio Finland 10 304 1.1× 110 0.9× 73 0.6× 72 0.9× 115 1.7× 32 412
Loretta Pfannes United States 9 229 0.8× 81 0.7× 125 1.1× 46 0.6× 109 1.6× 19 373
Georg‐Nikolaus Franke Germany 16 473 1.7× 202 1.7× 120 1.0× 118 1.5× 40 0.6× 69 598
Paul Koller United States 9 100 0.4× 56 0.5× 117 1.0× 163 2.1× 72 1.1× 46 369
JH Bourhis United States 8 437 1.6× 77 0.6× 151 1.3× 136 1.7× 119 1.8× 10 507
Chiara De Philippis Italy 13 314 1.2× 108 0.9× 129 1.1× 134 1.7× 88 1.3× 43 449
S. B. Marley United Kingdom 10 163 0.6× 166 1.4× 114 1.0× 40 0.5× 57 0.8× 17 364

Countries citing papers authored by Jae-Sook Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Sook Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Sook 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 Jae-Sook Ahn. The network helps show where Jae-Sook Ahn may publish in the future.

Co-authorship network of co-authors of Jae-Sook Ahn

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

All Works

19 of 19 papers shown
1.
Kim, Tae‐Hyung, Jae-Sook Ahn, Meong Hi Son, et al.. (2022). Genetic changes during leukemic transformation to secondary acute myeloid leukemia from myeloproliferative neoplasms. Leukemia Research. 118. 106858–106858. 1 indexed citations
2.
Ahn, Jae-Sook & Hyeoung‐Joon Kim. (2022). FLT3 mutations in acute myeloid leukemia: a review focusing on clinically applicable drugs. Blood Research. 57(S1). S32–S36. 27 indexed citations
3.
Ahn, Seo-Yeon, Sung‐Hoon Jung, Manh-Cuong Vo, et al.. (2021). Expanded natural killer cells augment the antimyeloma effect of daratumumab, bortezomib, and dexamethasone in a mouse model. Cellular and Molecular Immunology. 18(7). 1652–1661. 26 indexed citations
4.
Ahn, Seo-Yeon, Hee Kyung Kim, Ho‐Cheol Kang, et al.. (2020). Adrenal insufficiency in hospitalized patients with multiple myeloma. Leukemia & lymphoma. 62(2). 501–503. 2 indexed citations
5.
Ahn, Jae-Sook, Tae‐Hyung Kim, Yeo‐Kyeoung Kim, et al.. (2019). Remission clone in acute myeloid leukemia shows growth advantage after chemotherapy but is distinct from leukemic clone. Experimental Hematology. 75. 26–30. 1 indexed citations
6.
7.
Kim, Tae‐Hyung, Joon Ho Moon, Jae-Sook Ahn, et al.. (2018). Next-generation sequencing–based posttransplant monitoring of acute myeloid leukemia identifies patients at high risk of relapse. Blood. 132(15). 1604–1613. 77 indexed citations
8.
Kim, Tae‐Hyung, Marc S. Tyndel, Zhaolei Zhang, et al.. (2017). Exome sequencing reveals DNMT3A and ASXL1 variants associate with progression of chronic myeloid leukemia after tyrosine kinase inhibitor therapy. Leukemia Research. 59. 142–148. 25 indexed citations
9.
10.
Kim, Tae‐Hyung, Marc S. Tyndel, Hyeoung Joon Kim, et al.. (2016). Spectrum of somatic mutation dynamics in chronic myeloid leukemia following tyrosine kinase inhibitor therapy. Blood. 129(1). 38–47. 82 indexed citations
11.
Ahn, Jae-Sook, Deok‐Hwan Yang, Yeo‐Kyeoung Kim, et al.. (2011). A Case of Disseminated and Fulminant Plasmacytomas That Developed during Bortezomib Treatment. SHILAP Revista de lepidopterología. 4(1). 101–105. 3 indexed citations
12.
Yang, Deok‐Hwan, Mi‐Hyun Kim, Cheol Yi Hong, et al.. (2010). Alpha-type 1-polarized dendritic cells loaded with apoptotic allogeneic myeloma cell line induce strong CTL responses against autologous myeloma cells. Annals of Hematology. 89(8). 795–801. 21 indexed citations
13.
Kim, Yeo‐Kyeoung, Hee Nam Kim, Nan Young Kim, et al.. (2010). Prognostic Impact of DNA Repair and MDR-1 Gene Polymorphisms In De Novo Acute Myeloid Leukemia with t(8;21) or Inv(16). Blood. 116(21). 1714–1714. 4 indexed citations
14.
Yang, Deok‐Hwan, Yeo‐Kyeoung Kim, Joo-Seop Chung, et al.. (2010). Induction Treatment With Cyclophosphamide, Thalidomide, and Dexamethasone in Newly Diagnosed Multiple Myeloma: A Phase II Study. Clinical Lymphoma Myeloma & Leukemia. 10(1). 62–67. 12 indexed citations
15.
Krishnadas, Deepa Kolaseri, Jae-Sook Ahn, Jianxun Han, Rakesh Kumar, & Babita Agrawal. (2010). Immunomodulation by hepatitis C virus-derived proteins: targeting human dendritic cells by multiple mechanisms. International Immunology. 22(6). 491–502. 42 indexed citations
16.
Kim, Yeo‐Kyeoung, Jae Hoon Lee, Deok‐Hwan Yang, et al.. (2009). Clinical efficacy of a bortezomib, cyclophosphamide, thalidomide, and dexamethasone (Vel-CTD) regimen in patients with relapsed or refractory multiple myeloma: a phase II study. Annals of Hematology. 89(5). 475–482. 35 indexed citations
17.
Kim, Yeo‐Kyeoung, Je‐Jung Lee, Ho‐Jin Shin, et al.. (2008). Clinical Efficacy of VEL-CTD (Bortezomib, Cyclophosphamide, Thalidomide, and Dexamethasone) Regimen in Patients with Relapsed or Refractory Multiple Myeloma: A Phase II Study. Blood. 112(11). 3693–3693. 2 indexed citations
18.
Ahn, Jae-Sook, Sang‐Hee Cho, Deok‐Hwan Yang, et al.. (2007). The Efficacy of an Induction Chemotherapy Combination with Docetaxel, Cisplatin, and 5-FU Followed by Concurrent Chemoradiotherapy in Advanced Head and Neck Cancer. Cancer Research and Treatment. 39(3). 93–93. 18 indexed citations
19.
Koh, Young‐Il, et al.. (2005). The Inverse Association Between the Presence of Antibody to Hepatitis B Surface Antigen and Atopy in Young Adults. The Korean Journal of Internal Medicine. 20(3). 210–210. 4 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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