Doo‐Sik Kim

2.9k citations
84 papers · 2.4k indexed · h-index 30
Topics
Venomous Animal Envenomation and Studies (20 papers)Cell Adhesion Molecules Research (19 papers)Immune Response and Inflammation (17 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Doo‐Sik Kim

84 papers receiving 2.4k citations

Peers

Doo‐Sik Kim
Comparison fields: 5 of 117
  • Molecular Biology 1.3k
  • Genetics 557
  • Immunology 545
  • Immunology and Allergy 317
  • Cancer Research 281
Replace S Ansorge with:
S Ansorge Germany
Hidehiro Fukuyama Japan
A H Wyllie United Kingdom
Bartholomew J. Votta United States
Y C Pan United States
J. Yun Tso United States
Kenji Ogawa Japan
Ann M. Hopkins Ireland
Margrith W. Verghese United States
S. Wright Caughman United States
Doo‐Sik Kim relative to S Ansorge Germany S Ansorge's profile →
Citations per field
00.5×4.9×
S Ansorge · 1×
Citations per year

Countries citing papers authored by Doo‐Sik Kim

Since Specialization
Citations

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

Fields of papers citing papers by Doo‐Sik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doo‐Sik Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Doo‐Sik Kim. A scholar is included among the top collaborators of Doo‐Sik 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 Doo‐Sik Kim. Doo‐Sik 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
#WorkIndexed citations
1 2
2 56
3 20
4 11
5 55
6 18
7 17
8 11
9 6
10 18
11 30
12 14
13 41
14 27
15 32
16 223
17
Terminal Cancer Pain Management by Tunnelled Epidural Catheter
1
18
Properties of the Endonuclease Secreted by Human B Lymphoblastic IM9 Cells
1
19
Analysis of the Potent Platelet Glycoprotein IIb-IIIa Antagonist from Natural Sources
1
20
An anticoagulant/fibrinolytic protease from Lumbricus rubellus.
24

About Doo‐Sik Kim

Doo‐Sik Kim is a scholar working on Immunology and Allergy, Hematology and Cancer Research, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (20 papers), Cell Adhesion Molecules Research (19 papers) and Immune Response and Inflammation (17 papers). The work is most often cited by research in Immunology and Allergy (317 citations), Immunology (545 citations) and Genetics (557 citations). Doo‐Sik Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Hyung‐Joo Kwon, In‐Cheol Kang, Keunwook Lee, Ok‐Hee Jeon, Younghee Lee, Kwang‐Hoe Chung, Kwang-Hoe Chung, Yeon Hyang Kim, B.-S. Koo and Dong‐Woo Lee. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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