Kwang–Kyu Kim

891 total citations · 1 hit paper
7 papers, 741 citations indexed

About

Kwang–Kyu Kim is a scholar working on Immunology, Epidemiology and Endocrinology. According to data from OpenAlex, Kwang–Kyu Kim has authored 7 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Epidemiology and 2 papers in Endocrinology. Recurrent topics in Kwang–Kyu Kim's work include Immune Response and Inflammation (3 papers), Plant Virus Research Studies (2 papers) and Immune Cell Function and Interaction (2 papers). Kwang–Kyu Kim is often cited by papers focused on Immune Response and Inflammation (3 papers), Plant Virus Research Studies (2 papers) and Immune Cell Function and Interaction (2 papers). Kwang–Kyu Kim collaborates with scholars based in South Korea, India and Czechia. Kwang–Kyu Kim's co-authors include Eun‐Kyeong Jo, Dong–Min Shin, Chul‐Su Yang, Jae–Min Yuk, Jin‐Man Kim, Hye‐Mi Lee, Sang-Hee Lee, Zee‐Won Lee, Hyo Sun Jin and Hyemi Lee and has published in prestigious journals such as The Journal of Immunology, Cell Host & Microbe and Antioxidants and Redox Signaling.

In The Last Decade

Kwang–Kyu Kim

6 papers receiving 721 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vitamin D3 Induces Autophagy in Human Monocytes/Macrophages via Cathelicidin

2009 632 citations Jae–Min Yuk, Dong–Min Shin et al. Cell Host & Microbe profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kwang–Kyu Kim South Korea	5	293	232	204	203	175	7	741
Dong-Min Shin South Korea	7	372 1.3×	91 0.4×	274 1.3×	270 1.3×	189 1.1×	7	770
Anna Kłopot United States	13	96 0.3×	343 1.5×	81 0.4×	129 0.6×	263 1.5×	20	1.1k
Mark Verway Canada	11	162 0.6×	116 0.5×	236 1.2×	141 0.7×	260 1.5×	11	747
Lauri L. Laichalk United States	8	469 1.6×	214 0.9×	695 3.4×	185 0.9×	168 1.0×	9	1.4k
Elizabeth Managlia United States	17	124 0.4×	52 0.2×	256 1.3×	96 0.5×	384 2.2×	24	1.0k
Claudia Nastasi Denmark	14	181 0.6×	137 0.6×	316 1.5×	157 0.8×	518 3.0×	27	1.1k
Diana Aguilar‐León Mexico	15	202 0.7×	59 0.3×	283 1.4×	286 1.4×	151 0.9×	29	850
Melissa A. Kovach United States	13	234 0.8×	40 0.2×	415 2.0×	54 0.3×	256 1.5×	19	866
Taylor Eddens United States	16	364 1.2×	53 0.2×	403 2.0×	266 1.3×	223 1.3×	42	995

Countries citing papers authored by Kwang–Kyu Kim

Since Specialization

Citations

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

Fields of papers citing papers by Kwang–Kyu Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang–Kyu 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 Kwang–Kyu Kim. The network helps show where Kwang–Kyu Kim may publish in the future.

Co-authorship network of co-authors of Kwang–Kyu Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kim, Kwang–Kyu, et al.. (2023). Complete genome sequence of cnidium virus 2, a novel cytorhabdovirus isolated from Cnidium officinale in South Korea. Archives of Virology. 168(6). 170–170.

2.

Kim, Kwang–Kyu, et al.. (2023). Complete genome sequence of a novel member of the genus Polerovirus from Cnidium officinale in South Korea. Archives of Virology. 168(4). 104–104. 2 indexed citations

3.

Kim, Kwang–Kyu, et al.. (2011). Effects of mycobacterial infection on proliferation of hematopoietic precursor cells. Microbes and Infection. 13(14-15). 1252–1260. 12 indexed citations

4.

Yuk, Jae–Min, Dong–Min Shin, Hye‐Mi Lee, et al.. (2009). Vitamin D3 Induces Autophagy in Human Monocytes/Macrophages via Cathelicidin. Cell Host & Microbe. 6(3). 231–243. 632 indexed citations breakdown →

5.

Lee, Hyemi, Jae–Min Yuk, Dong–Min Shin, et al.. (2009). Apurinic/Apyrimidinic Endonuclease 1 Is a Key Modulator of Keratinocyte Inflammatory Responses. The Journal of Immunology. 183(10). 6839–6848. 38 indexed citations

6.

Lee, Hyemi, Dong–Min Shin, Kwang–Kyu Kim, et al.. (2008). Roles of Reactive Oxygen Species in CXCL8 and CCL2 Expression in Response to the 30-kDa Antigen of Mycobacterium tuberculosis. Journal of Clinical Immunology. 29(1). 46–56. 34 indexed citations

7.

Yuk, Jae–Min, Chul‐Su Yang, Dong–Min Shin, et al.. (2008). A Dual Regulatory Role of Apurinic/Apyrimidinic Endonuclease 1/Redox Factor-1 in HMGB1-Induced Inflammatory Responses. Antioxidants and Redox Signaling. 11(3). 575–588. 23 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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