Kyungja Han

3.2k total citations
158 papers, 2.4k citations indexed

About

Kyungja Han is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Kyungja Han has authored 158 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Hematology, 40 papers in Molecular Biology and 35 papers in Immunology. Recurrent topics in Kyungja Han's work include Acute Myeloid Leukemia Research (27 papers), Acute Lymphoblastic Leukemia research (16 papers) and Chronic Myeloid Leukemia Treatments (15 papers). Kyungja Han is often cited by papers focused on Acute Myeloid Leukemia Research (27 papers), Acute Lymphoblastic Leukemia research (16 papers) and Chronic Myeloid Leukemia Treatments (15 papers). Kyungja Han collaborates with scholars based in South Korea, United States and United Kingdom. Kyungja Han's co-authors include Yonggoo Kim, Myungshin Kim, Jihyang Lim, Yeon-Joon Park, Eun‐Jee Oh, Chang Suk Kang, Jong‐In Hong, Hyun‐Woo Rhee, Wonbae Lee and Seungok Lee and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Kyungja Han

155 papers receiving 2.3k citations

Peers

Kyungja Han
Comparison fields: 5 of 124
  • Molecular Biology 710
  • Hematology 637
  • Oncology 401
  • Immunology 379
  • Epidemiology 309
Replace Yoko Tabe with:
Yoko Tabe Japan
Shuji Tohda Japan
Chien‐Feng Sun Taiwan
Chien‐Yuan Chen Taiwan
Atsushi Togawa Japan
Grzegorz Basak Poland
Naoyuki Katayama Japan
Matt Shirley New Zealand
A Hiraoka Japan
Steven D. Carson United States
Yoko Tabe Japan View profile →
Citations per field, relative to Kyungja Han
Kyungja Han · 1×
Citations per year, relative to Kyungja Han
Kyungja Han · 1×

Countries citing papers authored by Kyungja Han

Since Specialization
Citations

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

Fields of papers citing papers by Kyungja Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyungja Han. 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 Kyungja Han. The network helps show where Kyungja Han may publish in the future.

Co-authorship network of co-authors of Kyungja Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kyungja Han. A scholar is included among the top collaborators of Kyungja Han 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 Kyungja Han. Kyungja Han 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
# Work Indexed citations
1 11
2 5
3 62
4 26
5 39
6 7
7 6
8 2
9 9
10 20
11 5
12 26
13 11
14
Significance of cerebrospinal fluid sIL-2R level as a marker of CNS involvement in acute lymphoblastic leukemia.
12
15
$As_{2}O_{3}$ Sensitivity in Acute Promyelocytic Leukemia and Refractory Acute Leukemia
1
16
Analysis of the Bone Marrow Aspirates with Automated Hematology Analyzer for Assessment of the Bone Marrow Cellularity and Effective Hematopoiesis
0
17 20
18 8
19 30
20 27

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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