Sun‐Hee Kim

5.1k total citations
222 papers, 3.6k citations indexed

About

Sun‐Hee Kim is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Sun‐Hee Kim has authored 222 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 80 papers in Hematology and 53 papers in Genetics. Recurrent topics in Sun‐Hee Kim's work include Acute Myeloid Leukemia Research (38 papers), Lymphoma Diagnosis and Treatment (29 papers) and Chronic Myeloid Leukemia Treatments (29 papers). Sun‐Hee Kim is often cited by papers focused on Acute Myeloid Leukemia Research (38 papers), Lymphoma Diagnosis and Treatment (29 papers) and Chronic Myeloid Leukemia Treatments (29 papers). Sun‐Hee Kim collaborates with scholars based in South Korea, United States and Canada. Sun‐Hee Kim's co-authors include Hee‐Jin Kim, Chi‐Dug Kang, Byung‐Seon Chung, Hak-Bong Kim, Chul Won Jung, Jae‐Ho Bae, Mi‐Ju Kim, Ji Hoon Jung, Soo‐Jin Jeong and Sung Ho Ryu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Sun‐Hee Kim

214 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun‐Hee Kim South Korea 32 1.5k 757 749 675 414 222 3.6k
Yi Liu China 34 2.1k 1.4× 603 0.8× 667 0.9× 1.1k 1.6× 347 0.8× 184 4.7k
George P. Vlasuk United States 43 1.6k 1.0× 1.1k 1.5× 499 0.7× 349 0.5× 352 0.9× 81 5.1k
Andrea Rinaldi Italy 39 1.8k 1.2× 596 0.8× 807 1.1× 1.5k 2.2× 535 1.3× 190 5.1k
Yuki Kimura Japan 25 1.1k 0.7× 461 0.6× 455 0.6× 694 1.0× 268 0.6× 163 3.3k
Zhenyu Ju China 41 2.8k 1.8× 531 0.7× 665 0.9× 817 1.2× 365 0.9× 151 5.6k
Gianpiero Pescarmona Italy 41 1.9k 1.2× 311 0.4× 762 1.0× 549 0.8× 251 0.6× 135 4.6k
Martin Eigenthaler Germany 39 1.5k 1.0× 979 1.3× 310 0.4× 490 0.7× 261 0.6× 83 4.9k
Hearn Jay Cho United States 27 1.5k 1.0× 1.1k 1.4× 971 1.3× 1.3k 1.9× 227 0.5× 140 4.0k
Dirk R. Van Bockstaele Belgium 28 2.1k 1.4× 396 0.5× 1.0k 1.4× 999 1.5× 156 0.4× 62 3.9k
Wei Xu China 35 2.0k 1.3× 298 0.4× 610 0.8× 551 0.8× 546 1.3× 172 4.6k

Countries citing papers authored by Sun‐Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Hee Kim. 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 Sun‐Hee Kim. The network helps show where Sun‐Hee Kim may publish in the future.

Co-authorship network of co-authors of Sun‐Hee Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun‐Hee Kim. A scholar is included among the top collaborators of Sun‐Hee Kim 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 Sun‐Hee Kim. Sun‐Hee Kim 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.
Kim, Sun‐Hee, et al.. (2024). Efficient generation of recombinant anti‐HER2 scFv with high yield and purity using a simple method. Biotechnology Journal. 19(7). e2300745–e2300745. 2 indexed citations
2.
Johnson, Amber M., Patrick Kwok‐Shing Ng, Michael Kahle, et al.. (2023). Actionability classification of variants of unknown significance correlates with functional effect. npj Precision Oncology. 7(1). 67–67. 6 indexed citations
3.
Kim, Hyun‐Young, et al.. (2022). Effects of CALR-Mutant Type and Burden on the Phenotype of Myeloproliferative Neoplasms. Diagnostics. 12(11). 2570–2570. 6 indexed citations
4.
Yoo, In Young, Seok Jin Kim, Kyunga Kim, et al.. (2020). Prevalence and Immunophenotypic Characteristics of Monoclonal B-Cell Lymphocytosis in Healthy Korean Individuals With Lymphocytosis. Annals of Laboratory Medicine. 40(5). 409–413. 1 indexed citations
5.
Yoo, In Young, et al.. (2019). Flow Cytometric Analysis of T Cells in Hemophagocytic Lymphohistiocytosis. Annals of Laboratory Medicine. 39(5). 430–437. 8 indexed citations
6.
Kim, Heejung, et al.. (2015). Paternal Somatic Mosaicism of a Novel Frameshift Mutation in ELANE Causing Severe Congenital Neutropenia. Pediatric Blood & Cancer. 62(12). 2229–2231. 9 indexed citations
7.
Kim, Sun‐Hee, Bonglee Kim, Eun Jung Sohn, et al.. (2013). Ginkgetin induces apoptosis via activation of caspase and inhibition of survival genes in PC-3 prostate cancer cells. Bioorganic & Medicinal Chemistry Letters. 23(9). 2692–2695. 36 indexed citations
8.
Kim, Sojung, et al.. (2013). Combination of cancer immunotherapy with clinically available drugs that can block immunosuppressive cells. Immunological Investigations. 43(6). 517–534. 10 indexed citations
9.
Lee, Mirae, Shin Yi Jang, Nari Kim, et al.. (2012). Hereditary Thrombophilia in Korean Patients with Idiopathic Pulmonary Embolism. Yonsei Medical Journal. 53(3). 571–571. 6 indexed citations
10.
Song, Minjung, Hee‐Jin Kim, Sun-Kyung Kim, et al.. (2012). Diagnostic Utility of a Multiplex RT-PCR Assay in Detecting Fusion Transcripts From Recurrent Genetic Abnormalities of Acute Leukemia by WHO 2008 Classification. Diagnostic Molecular Pathology. 21(1). 40–44. 6 indexed citations
12.
Park, Hyung‐Doo, Soo Hyun Lee, Ki Woong Sung, et al.. (2011). Gene mutations in the Ras pathway and the prognostic implication in Korean patients with juvenile myelomonocytic leukemia. Annals of Hematology. 91(4). 511–517. 13 indexed citations
13.
Kim, Sun‐Hee, Kwang Seok Ahn, Soo‐Jin Jeong, et al.. (2010). Janus activated kinase 2/signal transducer and activator of transcription 3 pathway mediates icariside II-induced apoptosis in U266 multiple myeloma cells. European Journal of Pharmacology. 654(1). 10–16. 58 indexed citations
14.
Chung, Hae‐Sun, Kyung Nam Koh, Heejung Kim, et al.. (2010). A novel nonsense mutation in the MPL gene in congenital amegakaryocytic thrombocytopenia. Pediatric Blood & Cancer. 56(2). 304–306. 3 indexed citations
15.
Kim, Sun‐Hee, et al.. (2005). Extremely Indirect Dermal Lymphatic Channels: Value of Areolar-Cutaneous Junction Injection Technique for Breast Lymphoscintigraphy. Current Surgery. 62(3). 335–337. 1 indexed citations
16.
Lee, Sang-Gon, et al.. (2005). Two Cases of Smith-Magenis Syndrome with Tetralogy of Fallot Confirmed by FISH. The Korean Journal of Laboratory Medicine. 25(5). 361–364. 2 indexed citations
17.
Ha, Jung‐Sook, Nam Hee Ryoo, Jae‐Ryong Kim, et al.. (2002). A Case of X;Y Translocation with Complex Minor Anomalies and Mental Retardation: 46,Y,der(X)t(X;Y)(p22.3;q11.2)mat. The Korean Journal of Laboratory Medicine. 22(2). 125–129. 1 indexed citations
18.
Kim, Sun‐Hee, et al.. (2002). Hemorrhage Following Pancreatoduodenectomy.. Journal of the Korean Surgical Society. 62(2). 157–161. 1 indexed citations
19.
Kang, Chi‐Dug, et al.. (1999). Role of Ras/ERK-dependent pathway in the erythroid differentiation of K562 cells. Experimental & Molecular Medicine. 31(2). 76–82. 51 indexed citations
20.
Kang, Chi‐Dug, et al.. (1989). Leukemia Growth Factors isolated from K562 Cells and Transforming Growth Factor-β inhibit Erythroid Differentiation of K562 Cells induced by Hemin and AraC. Experimental & Molecular Medicine. 21(2). 123–131. 3 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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