Ji‐Hun Lim

482 citations
27 papers · 372 · h-index 8

Impact in

Papers in

    • Acute Myeloid Leukemia Research 4
    • Blood groups and transfusion 2
    • Immune Cell Function and Interaction 3

Ji‐Hun Lim

25 papers receiving 367 citations

Peers

Ji‐Hun Lim
Comparison fields: 5 of 67
  • Molecular Medicine 49
  • Neurology 54
  • Hematology 54
  • Immunology 102
  • Endocrinology 18
Replace Boon King Teh with:
Boon King Teh Singapore
Cora Verhagen Netherlands
Farzaneh Ghazavi Belgium
Neelima Choudhary United States
Edward N. Martin United States
Cheng-rong Li China
Alyssa Gagne United States
Zachary Benet United States
Kiran Kundu India
Nahid Rezaei Iran
Ji‐Hun Lim relative to Boon King Teh Singapore Boon King Teh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ji‐Hun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Hun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Hun Lim. 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 Ji‐Hun Lim. The network helps show where Ji‐Hun Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fas ligand and Fas are expressed constitutively in human astrocytes and the expression increases with IL-1, IL-6, TNF-alpha, or IFN-gamma.
1999154
2 201257
3 200932
4 201031
5 201718
6 201517
7 201314
8 201212
9 20236
10 20126
11 20234
12 20163
13 20232
14 20152
15 20192
16 20222
17 20092
18
Transfusion of Jr a -positive Red Blood Cells to a Jr a -negative Patient with Anti-Jr a
20071
19 20231
20 20171

About Ji‐Hun Lim

Ji‐Hun Lim is a scholar working on Hematology, Immunology, Genetics, Infectious Diseases and Pathology and Forensic Medicine, having authored 27 papers that have together received 372 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Blood groups and transfusion (2 papers), Blood transfusion and management (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (49 citations), Neurology (54 citations), Hematology (54 citations), Immunology (102 citations) and Endocrinology (18 citations). Ji‐Hun Lim has collaborated with scholars based in South Korea, Thailand and Singapore. Frequent co-authors include Chul Hoon Kim, In‐Hong Choi, Eui‐Cheol Shin, Young Soo Ahn, Chang Hwan Choi, Jinhwa Lee, Jeong Youp Park, Se‐Jong Kim, Seongsoo Jang and Ho Joon Im. Their work appears in journals such as Annals of Laboratory Medicine, Intestinal Research, Annals of Hematology, Journal of Microbiology Immunology and Infection and Epidemiology and Infection.

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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