Vanessa A. York
- Immunology top 2%
- Epidemiology top 10%
- Oncology top 10%
- Virology top 5%
- Molecular Biology
- Co-authors
- Douglas F. NixonJeffrey M. MilushLewis L. LanierSandra López‐VergèsPhilip J. NorrisSuchitra PandeyHanspeter PircherJanice Arakawa‐Hoyt
- Topics
- Immune Cell Function and Interaction (11 papers)HIV Research and Treatment (8 papers)T-cell and B-cell Immunology (7 papers)
- Cited by
- ImmunologyVirologyHematology
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Vanessa A. York
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 1.4k
- Epidemiology 372
- Oncology 281
- Virology 201
- Molecular Biology 163
Countries citing papers authored by Vanessa A. York
This map shows the geographic impact of Vanessa A. York'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 Vanessa A. York with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa A. York more than expected).
Fields of papers citing papers by Vanessa A. York
This network shows the impact of papers produced by Vanessa A. York. 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 Vanessa A. York. The network helps show where Vanessa A. York may publish in the future.
Co-authorship network of co-authors of Vanessa A. York
This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa A. York. A scholar is included among the top collaborators of Vanessa A. York 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 Vanessa A. York. Vanessa A. York is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 35 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 87 | |
| 8 | 27 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | Expansion of a unique CD57 + NKG2C hi natural killer cell subset during acute human cytomegalovirus infectionbreakdown → | 618 |
| 12 | 23 | |
| 13 | 52 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | CD57 defines a functionally distinct population of mature NK cells in the human CD56dimCD16+ NK-cell subsetbreakdown → | 553 |
| 17 | 32 | |
| 18 | 13 | |
| 19 | 77 | |
| 20 | 14 |
About Vanessa A. York
Vanessa A. York is a scholar working on Virology, Immunology and Biological Psychiatry, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), HIV Research and Treatment (8 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (1.4k citations), Virology (201 citations) and Hematology (132 citations). Vanessa A. York has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Douglas F. Nixon, Jeffrey M. Milush, Lewis L. Lanier, Sandra López‐Vergès, Philip J. Norris, Suchitra Pandey, Hanspeter Pircher, Janice Arakawa‐Hoyt, Sang‐Mo Kang and Marcelo J. Pando. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.