Vikki Rand
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Oncology 11
- Viral-associated cancers and disorders 3
- CAR-T cell therapy research 2
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- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Matt W. Wright (1 shared paper)Stephan Beck (1 shared paper)Roger W. Horton (1 shared paper)Ruth C. Lovering (1 shared paper)Varsha Khodiyar (1 shared paper)John Trowsdale (1 shared paper)Sue Povey (1 shared paper)Elspeth A. Bruford (1 shared paper)
- Journals
- Blood (3 papers)Leukemia (2 papers)Neuro-Oncology (2 papers)Haematologica (2 papers)Bone (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Vikki Rand
28 papers receiving 1.8k citations
Vikki Rand's Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 581
- Genetics 251
- Cancer Research 234
- Hematology 168
- Transplantation 30
Countries citing papers authored by Vikki Rand
This map shows the geographic impact of Vikki Rand'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 Vikki Rand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikki Rand more than expected).
Fields of papers citing papers by Vikki Rand
This network shows the impact of papers produced by Vikki Rand. 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 Vikki Rand. The network helps show where Vikki Rand may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikki Rand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gene map of the extended human MHC Hit paper breakdown → | 2004 | 882 |
| 2 | 2017 | 135 | |
| 3 | 2006 | 128 | |
| 4 | 2005 | 120 | |
| 5 | 2013 | 92 | |
| 6 | 2011 | 90 | |
| 7 | 2008 | 85 | |
| 8 | 2011 | 57 | |
| 9 | 2011 | 35 | |
| 10 | 2011 | 28 | |
| 11 | 2023 | 27 | |
| 12 | 2008 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2019 | 21 | |
| 16 | 2014 | 20 | |
| 17 | 2012 | 15 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 7 |
About Vikki Rand
Vikki Rand is a scholar working on Oncology, Cancer Research, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Glioma Diagnosis and Treatment (3 papers), Viral-associated cancers and disorders (3 papers), CAR-T cell therapy research (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Immunology (581 citations), Genetics (251 citations), Cancer Research (234 citations), Hematology (168 citations) and Transplantation (30 citations). Vikki Rand has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Matt W. Wright, Stephan Beck, Roger W. Horton, Ruth C. Lovering, Varsha Khodiyar, John Trowsdale, Sue Povey, Elspeth A. Bruford, Michael J. Lush and Andreas Ziegler. Their work appears in journals such as Blood, Leukemia, Neuro-Oncology, Haematologica and Bone.
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.