Samuel C. C. Chiang
- Immunology top 1%
- Hematology top 2%
- Infectious Diseases top 5%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Yenan T. BrycesonHeinrich SchlumsJakob TheorellBianca TesiStephanie M. WoodJan‐Inge HenterHans‐Gustaf LjunggrenJeffrey S. Miller
- Topics
- Immune Cell Function and Interaction (27 papers)Autoimmune and Inflammatory Disorders Research (24 papers)Parvovirus B19 Infection Studies (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Experimental Medicine
- Partner nations
- SwedenNorwayUnited States
In The Last Decade
Samuel C. C. Chiang
43 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.9k
- Hematology 600
- Infectious Diseases 389
- Oncology 338
- Molecular Biology 330
Countries citing papers authored by Samuel C. C. Chiang
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
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 of co-authors of Samuel C. C. Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel C. C. Chiang. A scholar is included among the top collaborators of Samuel C. C. Chiang 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 Samuel C. C. Chiang. Samuel C. C. Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 11 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | CD49a Expression Defines Tissue-Resident CD8 + T Cells Poised for Cytotoxic Function in Human Skinbreakdown → | 475 |
| 9 | 43 | |
| 10 | 23 | |
| 11 | Cytomegalovirus Infection Drives Adaptive Epigenetic Diversification of NK Cells with Altered Signaling and Effector Functionbreakdown → | 551 |
| 12 | 28 | |
| 13 | 8 | |
| 14 | 17 | |
| 15 | 26 | |
| 16 | 165 | |
| 17 | 12 | |
| 18 | 24 | |
| 19 | 159 | |
| 20 | 90 |
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) and Parvovirus B19 Infection Studies (11 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.