Sung-Doo Kim

14 total papers · 461 total citations
13 papers, 340 citations indexed

About

Sung-Doo Kim is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Sung-Doo Kim has authored 13 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Sung-Doo Kim's work include Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Acute Lymphoblastic Leukemia research (2 papers). Sung-Doo Kim is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Acute Lymphoblastic Leukemia research (2 papers). Sung-Doo Kim collaborates with scholars based in South Korea, United States and China. Sung-Doo Kim's co-authors include Jung‐Hee Lee, Kyoo‐Hyung Lee, Je‐Hwan Lee, Dae‐Young Kim, Yunsuk Choi, Miee Seol, Won Sik Lee, Young‐Ah Kang, Sung-Nam Lim and Young‐Don Joo and has published in prestigious journals such as Journal of Clinical Oncology, Blood and OncoImmunology.

In The Last Decade

Sung-Doo Kim

13 papers receiving 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sung-Doo Kim 274 99 90 73 68 13 340
Tetsuo Hashida 122 0.4× 71 0.7× 63 0.7× 57 0.8× 86 1.3× 15 341
Gail Abrahamson 260 0.9× 66 0.7× 43 0.5× 33 0.5× 25 0.4× 13 345
P. M. Chipping 174 0.6× 34 0.3× 53 0.6× 37 0.5× 16 0.2× 11 294
K. W. Chan 262 1.0× 23 0.2× 66 0.7× 44 0.6× 43 0.6× 15 385
Bonnie G. Massing 204 0.7× 58 0.6× 87 1.0× 93 1.3× 9 0.1× 15 394
Hiromichi Ariga 90 0.3× 67 0.7× 60 0.7× 34 0.5× 46 0.7× 14 370
Brigitte Witz 203 0.7× 101 1.0× 28 0.3× 116 1.6× 31 0.5× 17 399
L. Pitcher 161 0.6× 35 0.4× 63 0.7× 57 0.8× 16 0.2× 15 330
J.R. Kendra 217 0.8× 24 0.2× 58 0.6× 71 1.0× 14 0.2× 11 321
Felipe Sandoval 155 0.6× 89 0.9× 63 0.7× 22 0.3× 130 1.9× 19 340

Countries citing papers authored by Sung-Doo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Doo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Doo 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 Sung-Doo Kim. The network helps show where Sung-Doo Kim may publish in the future.

Co-authorship network of co-authors of Sung-Doo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Doo Kim. A scholar is included among the top collaborators of Sung-Doo 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 Sung-Doo Kim. Sung-Doo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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