Samuel C. C. Chiang

4.8k citations
43 papers · 2.5k indexed · 2 hit papers · h-index 21

Samuel C. C. Chiang

43 papers receiving 2.5k citations

Hit Papers

CD49a Expression Defines Tissue-Resident CD8 + T Cells Po...4752015202620182022100200300400500

Peers

Samuel C. C. Chiang
Comparison fields: 5 of 97
  • Immunology 1.9k
  • Hematology 600
  • Infectious Diseases 389
  • Sensory Systems 70
  • Virology 66
Replace Janet Chou with:
Janet Chou United States
Sung‐Yun Pai United States
Cyril Fauriat France
Sophia Maschalidi France
S Tagawa Japan
Wendy Peters United States
Porunelloor A. Mathew United States
Masako Murai Japan
Silvia Monticelli Switzerland
Nuala Mooney France
Samuel C. C. Chiang relative to Janet Chou United States Janet Chou's profile →
Citations per field
00.5×3.6×
Janet Chou · 1×
Citations per year

Countries citing papers authored by Samuel C. C. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Samuel C. C. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel C. C. Chiang. 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 Samuel C. C. Chiang. The network helps show where Samuel C. C. Chiang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Samuel C. C. Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel C. C. Chiang Line = papers co-authored together Samuel C. C. Chiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202129
4 202111
5 202131
6 20204
7 201914
8
CD49a Expression Defines Tissue-Resident CD8 + T Cells Poised for Cytotoxic Function in Human Skinbreakdown →
2017475
9 201543
10 201523
11
Cytomegalovirus Infection Drives Adaptive Epigenetic Diversification of NK Cells with Altered Signaling and Effector Functionbreakdown →
2015551
12 201428
13 20148
14 201417
15 201226
16 2011165
17 201112
18 201124
19 2011159
20 200790

About Samuel C. C. Chiang

Samuel C. C. Chiang is a scholar working on Hematology, Immunology and Speech and Hearing, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Autoimmune and Inflammatory Disorders Research (24 papers), Parvovirus B19 Infection Studies (11 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Adolescent and Pediatric Healthcare (5 papers), T-cell and B-cell Immunology (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Immunology (1.9k citations), Hematology (600 citations) and Infectious Diseases (389 citations). Samuel C. C. Chiang has collaborated with scholars based in Sweden, Norway and United States. Frequent co-authors include Yenan T. Bryceson, Heinrich Schlums, Jakob Theorell, Bianca Tesi, Stephanie M. Wood, Jan‐Inge Henter, Hans‐Gustaf Ljunggren, Jeffrey S. Miller, Frank Cichocki and Vivien Béziat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

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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