Ki‐Hoan Nam

2.5k citations
85 papers · 1.9k indexed · h-index 25
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (13 papers)Immunotherapy and Immune Responses (8 papers)

In The Last Decade

Ki‐Hoan Nam

78 papers receiving 1.8k citations

Peers

Ki‐Hoan Nam
Comparison fields: 5 of 118
  • Molecular Biology 686
  • Immunology 447
  • Epidemiology 224
  • Surgery 190
  • Oncology 186
Replace Geoffrey Gloire with:
Geoffrey Gloire Belgium
H Hiai Japan
Roger T. Snowden United Kingdom
Kevin Gerrish United States
Sangita C. Sinha United States
Tetsuya Mizutani Japan
Hyo Chol Ha United States
Behzad Yeganeh Canada
Kunihiro Hayakawa Japan
Luisa Cigliano Italy
Ki‐Hoan Nam relative to Geoffrey Gloire Belgium Geoffrey Gloire's profile →
Citations per field
00.5×1.5×
Geoffrey Gloire · 1×
Citations per year

Countries citing papers authored by Ki‐Hoan Nam

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Hoan Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Hoan Nam. 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 Ki‐Hoan Nam. The network helps show where Ki‐Hoan Nam may publish in the future.

Co-authorship network of co-authors of Ki‐Hoan Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Hoan Nam. A scholar is included among the top collaborators of Ki‐Hoan Nam 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 Ki‐Hoan Nam. Ki‐Hoan Nam 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 8
2 4
3 12
4 2
5 30
6 6
7 22
8 29
9 5
10 1
11 13
12
Blood and Serum Chemistry in Specific Pathogen-Free and Conventional New Zealand White Rabbits
0
13 21
14
Cardiac Cell Differentiation of Mouse Embryonic Stem Cells in the Co-culture with Fetal Heart
1
15 34
16
Fluorescence labeled cardiomyocytes derived from embryonic stem cells
2
17 50
18 24
19 7
20 7

About Ki‐Hoan Nam

Ki‐Hoan Nam is a scholar working on Immunology, Cancer Research and Toxicology, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (13 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (447 citations), Health, Toxicology and Mutagenesis (182 citations) and Virology (61 citations). Ki‐Hoan Nam has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kyung‐Chul Choi, Kyung‐A Hwang, Hyoung-Chin Kim, Yasuhiro Yoshikawa, Keiji Terao, Goo Taeg Oh, Hirofumi Akari, Craig T. Morita, Ryeo‐Eun Go and Dae-Yong Kim. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Blood.

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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