Christopher S. Carlson
Impact in
- Equine top 0.5%
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Co-authors
- Deborah A. NickersonMark J. RiederMichael A. EberleLeonid KruglyakHarlan RobinsYi QianEdus H. WarrenPaulo Vidal Campregher
- Journals
- Blood (7 papers)Human Molecular Genetics (4 papers)Cancer Epidemiology Biomarkers & Prevention (4 papers)Human Genetics (4 papers)Cancer Causes & Control (4 papers)
- Partner nations
- United StatesSouth AfricaSweden
In The Last Decade
Christopher S. Carlson
97 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Equine 227
- Immunology 2.2k
- Genetics 2.4k
- Oncology 1.2k
- Molecular Biology 2.4k
Countries citing papers authored by Christopher S. Carlson
This map shows the geographic impact of Christopher S. Carlson'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 Christopher S. Carlson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher S. Carlson more than expected).
Fields of papers citing papers by Christopher S. Carlson
This network shows the impact of papers produced by Christopher S. Carlson. 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 Christopher S. Carlson. The network helps show where Christopher S. Carlson may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher S. Carlson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2018 | 21 | |
| 3 | 2018 | 32 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 17 | |
| 6 | 2016 | 80 | |
| 7 | 2014 | 106 | |
| 8 | 2010 | 24 | |
| 9 | 2009 | 51 | |
| 10 | 2009 | 2 | |
| 11 | 2009 | 12 | |
| 12 | 2008 | 18 | |
| 13 | 2007 | 71 | |
| 14 | 2006 | 48 | |
| 15 | 2006 | 50 | |
| 16 | 2006 | 14 | |
| 17 | 2006 | 27 | |
| 18 | Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium Hit paper breakdown → | 2004 | 1221 |
| 19 | 2004 | 144 | |
| 20 | 2004 | 138 |
About Christopher S. Carlson
Christopher S. Carlson is a scholar working on Equine, Genetics, Immunology, Small Animals and Oncology, having authored 98 papers that have together received 7.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (22 papers), T-cell and B-cell Immunology (11 papers), Estrogen and related hormone effects (8 papers), Genomics and Rare Diseases (8 papers), Immune Cell Function and Interaction (8 papers), Osteoarthritis Treatment and Mechanisms (8 papers), CAR-T cell therapy research (7 papers) and Veterinary Equine Medical Research (7 papers). The work is most often cited by research in Equine (227 citations), Immunology (2.2k citations), Genetics (2.4k citations), Oncology (1.2k citations) and Molecular Biology (2.4k citations). Christopher S. Carlson has collaborated with scholars based in United States, South Africa and Sweden. Frequent co-authors include Deborah A. Nickerson, Mark J. Rieder, Michael A. Eberle, Leonid Kruglyak, Harlan Robins, Yi Qian, Edus H. Warren, Paulo Vidal Campregher, Cameron J. Turtle and Stanley R. Riddell. Their work appears in journals such as Blood, Human Molecular Genetics, Cancer Epidemiology Biomarkers & Prevention, Human Genetics and Cancer Causes & Control.
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.