Li‐Jung Kang

652 total citations
20 papers, 520 citations indexed

About

Li‐Jung Kang is a scholar working on Cancer Research, Molecular Biology and Rheumatology. According to data from OpenAlex, Li‐Jung Kang has authored 20 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 5 papers in Rheumatology. Recurrent topics in Li‐Jung Kang's work include Osteoarthritis Treatment and Mechanisms (5 papers), NF-κB Signaling Pathways (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Li‐Jung Kang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (5 papers), NF-κB Signaling Pathways (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Li‐Jung Kang collaborates with scholars based in South Korea, Ethiopia and United Kingdom. Li‐Jung Kang's co-authors include Seong-Gene Lee, Yeo Jin Choi, Siyoung Yang, Wook Kim, Jimin Jeon, Hyeun‐Jong Bae, Hwanghee Blaise Lee, Seok Jung Kim, Eunjeong Oh and Jae Hyung Park and has published in prestigious journals such as Biomaterials, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Li‐Jung Kang

20 papers receiving 517 citations

Peers

Li‐Jung Kang
Comparison fields: 5 of 79
  • Molecular Biology 207
  • Rheumatology 137
  • Pharmacology 68
  • Immunology 63
  • Epidemiology 62
Replace Rui Han with:
Rui Han China
Sachie Nakatani Japan
Dongxu Zhang China
Jing Zhu China
Xiangyang Leng China
M Stancíková Slovakia
Anna‐Lena Mueller Germany
Nasser Gholijani Iran
Keisuke Imada Japan
Naseer Ahmad India
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Citations per field, relative to Li‐Jung Kang
Li‐Jung Kang · 1×
Citations per year, relative to Li‐Jung Kang
Li‐Jung Kang · 1×

Countries citing papers authored by Li‐Jung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Jung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Jung Kang. 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 Li‐Jung Kang. The network helps show where Li‐Jung Kang may publish in the future.

Co-authorship network of co-authors of Li‐Jung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Jung Kang. A scholar is included among the top collaborators of Li‐Jung Kang 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 Li‐Jung Kang. Li‐Jung Kang 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 3
2 6
3 4
4 30
5 11
6 107
7 15
8 34
9 22
10 7
11 7
12 35
13 23
14 41
15 38
16 8
17 22
18 57
19 48
20
Nelumbo nucifera Leaves Extract Reduced the Production of Hepatitis B Surface Antigen on HepG2.2.15
2

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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