Kristofer Wood
- Neurology top 0.5%
- Molecular Biology
- Neurology top 2%
- Immunology top 5%
- Epidemiology top 10%
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (13 papers)Immune cells in cancer (7 papers)Multiple Sclerosis Research Studies (5 papers)
- Cited by
- NeurologyDevelopmental Neuroscience
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kristofer Wood
41 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Neurology 941
- Molecular Biology 574
- Neurology 522
- Immunology 511
- Epidemiology 288
Countries citing papers authored by Kristofer Wood
This map shows the geographic impact of Kristofer Wood'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 Kristofer Wood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristofer Wood more than expected).
Fields of papers citing papers by Kristofer Wood
This network shows the impact of papers produced by Kristofer Wood. 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 Kristofer Wood. The network helps show where Kristofer Wood may publish in the future.
Co-authorship network of co-authors of Kristofer Wood
This figure shows the co-authorship network connecting the top 25 collaborators of Kristofer Wood. A scholar is included among the top collaborators of Kristofer Wood 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 Kristofer Wood. Kristofer Wood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 7 | |
| 3 | 35 | |
| 4 | 15 | |
| 5 | The UK ONE Study: Safety and Feasibility of Regulatory T Cell Therapy in Renal Transplantation. | 1 |
| 6 | 25 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 22 | |
| 10 | 33 | |
| 11 | 38 | |
| 12 | 38 | |
| 13 | 42 | |
| 14 | 24 | |
| 15 | Tissue targeted regulatory T cell therapy prevents human skin allograft rejection in a humanised mouse model | 1 |
| 16 | 7 | |
| 17 | Presence of regulatory T cells within tolerant graft of human liver and intestinal transplantation | 2 |
| 18 | Analysis of peripheral blood mononuclear cells in operational tolerance after living-donor liver transplantation (LDLT). | 1 |
| 19 | 13 | |
| 20 | Neonatal induction of tolerance to cardiac allografts. | 3 |
About Kristofer Wood
Kristofer Wood is a scholar working on Neurology, Transplantation and Developmental Neuroscience, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Immune cells in cancer (7 papers) and Multiple Sclerosis Research Studies (5 papers). The work is most often cited by research in Neurology (941 citations), Neurology (522 citations) and Developmental Neuroscience (132 citations). Kristofer Wood has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qiang Liu, Minshu Li, Fu‐Dong Shi, Zhiguo Li, Samuel Shi, Honglei Ren, Wei‐Na Jin, Rayna J. Gonzales, Kaibin Shi and Junwei Hao. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Stroke.
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.