Jae‐Sook Ahn

2.5k citations
134 papers · 1.5k · h-index 22

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Lymphoma Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 33
    • Multiple Myeloma Research and Treatments 26
    • Chronic Myeloid Leukemia Treatments 14
    • Viral-associated cancers and disorders 9

Jae‐Sook Ahn

126 papers receiving 1.4k citations

Peers

Jae‐Sook Ahn
Comparison fields: 5 of 83
  • Hematology 630
  • Pathology and Forensic Medicine 335
  • Genetics 170
  • Oncology 370
  • Immunology 189
Replace Deok‐Hwan Yang with:
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Deok‐Hwan Yang South Korea
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Taiga Nishihori United States
Melek Ergin Türkiye
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Jae‐Sook Ahn relative to Deok‐Hwan Yang South Korea Deok‐Hwan Yang's profile →
Citations per field
00.5×1.5×
Deok‐Hwan Yang · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201172
2 201266
3 202048
4 201648
5 201143
6 200840
7 201538
8 201637
9 201333
10 201831
11 201329
12 201428
13 201427
14 201126
15 201525
16 201524
17 201524
18 201524
19 201424
20 201421

About Jae‐Sook Ahn

Jae‐Sook Ahn is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 134 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (33 papers), Multiple Myeloma Research and Treatments (26 papers), Lymphoma Diagnosis and Treatment (24 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Chronic Myeloid Leukemia Treatments (14 papers), Immunotherapy and Immune Responses (9 papers), Viral-associated cancers and disorders (9 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Hematology (630 citations), Pathology and Forensic Medicine (335 citations), Genetics (170 citations), Oncology (370 citations) and Immunology (189 citations). Jae‐Sook Ahn has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Je‐Jung Lee, Hyeoung‐Joon Kim, Sung‐Hoon Jung, Deok‐Hwan Yang, Deok‐Hwan Yang, Yeo‐Kyeoung Kim, Yeo-Kyeoung Kim, Hyeoung-Joon Kim, Myung‐Geun Shin and Jung‐Joon Min. Their work appears in journals such as Blood, Annals of Hematology, Journal of Korean Medical Science, BMC Cancer and International Journal of Hematology.

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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