Hee‐Jin Kim

4.7k citations
250 papers · 2.8k indexed · h-index 27

Hee‐Jin Kim

233 papers receiving 2.8k citations

Peers

Hee‐Jin Kim
Comparison fields: 5 of 142
  • Hematology 976
  • Genetics 634
  • Developmental Neuroscience 108
  • Internal Medicine 86
  • Immunology 357
Replace C. Keith Ozaki with:
C. Keith Ozaki United States
Li Yan China
Rima Rozen Canada
Veronica Tisato Italy
Wolfgang Schneider Germany
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Takeo Nomura Japan
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David S. Rosenblatt Canada
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Citations per field
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Citations per year

Countries citing papers authored by Hee‐Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20230
3 20229
4 20226
5 20229
6 20201
7 202025
8 20202
9 201954
10 20191
11 20198
12 20198
13 201911
14 20195
15 20151
16
Cryptic microdeletion of the CREBBP gene from t(1;16) (p36.2;p13.3) as a novel genetic defect causing Rubinstein-Taybi syndrome.
20133
17
Microanatomy of incisive canal using three-dimensional reconstruction of microCT images
20081
18
Association between MTHFR C677T Polymorphism and Ischemic Stroke
20051
19
A Case of Anaplastic Myeloma: Role of Immunophenotyping in Initial Diagnosis
20041
20
Effects of Nonylphenol on CYP17 and CYP19 Expression in the Ovary of Sprague-Dawley Female Rats
19861

About Hee‐Jin Kim

Hee‐Jin Kim is a scholar working on Hematology, Genetics, Internal Medicine, Pathology and Forensic Medicine and Immunology, having authored 250 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (42 papers), Lymphoma Diagnosis and Treatment (28 papers), Chronic Myeloid Leukemia Treatments (26 papers), Chronic Lymphocytic Leukemia Research (25 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (24 papers), Platelet Disorders and Treatments (19 papers), Blood Coagulation and Thrombosis Mechanisms (19 papers) and Acute Lymphoblastic Leukemia research (18 papers). The work is most often cited by research in Hematology (976 citations), Genetics (634 citations), Developmental Neuroscience (108 citations), Internal Medicine (86 citations) and Immunology (357 citations). Hee‐Jin Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sun‐Hee Kim, Chul Won Jung, Kihyun Kım, Jong‐Won Kim, Seok Jin Kim, Hong Hoe Koo, Keon Hee Yoo, Duk L. Na, Sang Won Seo and Seung‐Tae Lee. Their work appears in journals such as Annals of Laboratory Medicine, Blood Coagulation & Fibrinolysis, Journal of Korean Medical Science, Annals of Hematology and Pediatric Blood & Cancer.

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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