Scott Christley
Impact in
-
- Open Source Software Innovations
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Immunology 14
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 5
- Co-authors
- Xiaohui XieLindsay G. CowellGary AnJohn C. AlverdyGregory R. MadeyMark AlberJared OstmeyerOlga Zaborina
- Journals
- BMC Bioinformatics (5 papers)PLoS ONE (5 papers)Frontiers in Immunology (4 papers)BMC Systems Biology (3 papers)PLoS Computational Biology (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Scott Christley
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 156
- Computer Science Applications 124
- Immunology 352
- Modeling and Simulation 48
- Molecular Biology 712
- Communication 67
Countries citing papers authored by Scott Christley
This map shows the geographic impact of Scott Christley'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 Scott Christley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Christley more than expected).
Fields of papers citing papers by Scott Christley
This network shows the impact of papers produced by Scott Christley. 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 Scott Christley. The network helps show where Scott Christley may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Christley, 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 | 2025 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 27 | |
| 8 | 2019 | 63 | |
| 9 | 2018 | 105 | |
| 10 | 2016 | 44 | |
| 11 | 2015 | 26 | |
| 12 | 2014 | 14 | |
| 13 | 2013 | 5 | |
| 14 | 2012 | 20 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 5 | |
| 17 | 2010 | 42 | |
| 18 | 2009 | 28 | |
| 19 | 2007 | 44 | |
| 20 | 2007 | 57 |
About Scott Christley
Scott Christley is a scholar working on Immunology, Modeling and Simulation, Computer Science Applications, Molecular Biology and Biophysics, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Single-cell and spatial transcriptomics (10 papers), vaccines and immunoinformatics approaches (7 papers), Gene Regulatory Network Analysis (6 papers), Immunotherapy and Immune Responses (5 papers), Cellular Mechanics and Interactions (4 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Computer Science Applications (124 citations), Immunology (352 citations), Modeling and Simulation (48 citations), Molecular Biology (712 citations) and Communication (67 citations). Scott Christley has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Xiaohui Xie, Lindsay G. Cowell, Gary An, John C. Alverdy, Gregory R. Madey, Mark Alber, Jared Ostmeyer, Olga Zaborina, Daniel P. Smith and Qing Nie. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Frontiers in Immunology, BMC Systems Biology and PLoS Computational Biology.
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.