Chang H. Kim

20.1k citations
217 papers · 15.8k indexed · 6 hit papers · h-index 65
Topics
Immune Cell Function and Interaction (81 papers)T-cell and B-cell Immunology (67 papers)Immunotherapy and Immune Responses (60 papers)

In The Last Decade

Chang H. Kim

210 papers receiving 15.6k citations

Hit Papers

Short-chain fatty acids induce both effector and regulato...201320262017202120142013201620142021250500750

Peers

Chang H. Kim
Comparison fields: 5 of 175
  • Immunology 8.5k
  • Molecular Biology 4.7k
  • Oncology 3.5k
  • Physiology 1.7k
  • Surgery 1.1k
Replace Casey T. Weaver with:
Casey T. Weaver United States
Polly Matzinger United States
Louis Boon Netherlands
Hans‐Dieter Volk Germany
Jan Buer Germany
Gérard Eberl France
Haruki Okamura Japan
Abul K. Abbas United States
Stefan Endres Germany
Arne N. Akbar United Kingdom
Chang H. Kim relative to Casey T. Weaver United States Casey T. Weaver's profile →
Citations per field
00.5×1.5×
Casey T. Weaver · 1×
Citations per year

Countries citing papers authored by Chang H. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chang H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang H. 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 Chang H. Kim. The network helps show where Chang H. Kim may publish in the future.

Co-authorship network of co-authors of Chang H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chang H. Kim. A scholar is included among the top collaborators of Chang H. 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 Chang H. Kim. Chang H. 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 3
2 5
3 12
4 17
5
Control of lymphocyte functions by gut microbiota-derived short-chain fatty acidsbreakdown →
261
6 19
7 138
8 1
9 12
10 80
11 1
12 251
13 102
14
A phenolic compound, 5-caffeoylquinic acid (chlorogenic acid), is a new type and strong matrix metalloproteinase-9 inhibitor
2
15
Safety Assessment of Lactobacillus fermentum PL9005, a Potential Probiotic Lactic Acid Bacterium, in Mice
21
16 476
17 129
18 62
19 149
20 24

About Chang H. Kim

Chang H. Kim is a scholar working on Immunology, Biological Psychiatry and Oncology, having authored 217 papers that have together received 15.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (81 papers), T-cell and B-cell Immunology (67 papers) and Immunotherapy and Immune Responses (60 papers). The work is most often cited by research in Immunology (8.5k citations), Biological Psychiatry (474 citations) and Oncology (3.5k citations). Chang H. Kim has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Hal E. Broxmeyer, Myunghoo Kim, Eugene C. Butcher, Seung Goo Kang, Hyung W. Lim, Jeongho Park, Peter Hillsamer, Myung H. Kim, Daniel Campbell and Lusijah Rott. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

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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