Simon Olivares
Impact in
- Oncology top 0.5%
- CAR-T cell therapy research
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 41
- CAR-T cell therapy research 40
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- CRISPR and Genetic Engineering 7
- Viral Infectious Diseases and Gene Expression in Insects 4
- RNA Interference and Gene Delivery 4
- Co-authors
- Laurence J.N. Cooper (45 shared papers)Harjeet Singh (28 shared papers)Richard E. Champlin (28 shared papers)Helen Huls (20 shared papers)Tiejuan Mi (16 shared papers)Dean A. Lee (18 shared papers)Kirsten C. Switzer (8 shared papers)Sourindra N. Maiti (14 shared papers)
- Journals
- Blood (15 papers)Cancer Research (5 papers)PLoS ONE (4 papers)Molecular Therapy (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
Simon Olivares
44 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 71
- Oncology 2.4k
- Immunology 1.0k
- Genetics 921
- Biomedical Engineering 648
- Molecular Biology 992
Countries citing papers authored by Simon Olivares
This map shows the geographic impact of Simon Olivares'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 Simon Olivares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Olivares more than expected).
Fields of papers citing papers by Simon Olivares
This network shows the impact of papers produced by Simon Olivares. 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 Simon Olivares. The network helps show where Simon Olivares may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Olivares, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 397 | |
| 2 | 2016 | 353 | |
| 3 | 2015 | 333 | |
| 4 | 2008 | 208 | |
| 5 | 2014 | 171 | |
| 6 | 2011 | 162 | |
| 7 | 2013 | 151 | |
| 8 | 2013 | 130 | |
| 9 | 2009 | 108 | |
| 10 | 2014 | 106 | |
| 11 | 2015 | 90 | |
| 12 | 2011 | 90 | |
| 13 | 2004 | 87 | |
| 14 | 2005 | 75 | |
| 15 | 2013 | 68 | |
| 16 | 2005 | 60 | |
| 17 | 2016 | 53 | |
| 18 | 2018 | 48 | |
| 19 | 2006 | 45 | |
| 20 | 2015 | 44 |
About Simon Olivares
Simon Olivares is a scholar working on Oncology, Molecular Biology, Immunology, Genetics and Biomedical Engineering, having authored 46 papers that have together received 3.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (40 papers), Virus-based gene therapy research (12 papers), Immune Cell Function and Interaction (11 papers), CRISPR and Genetic Engineering (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Oncology (2.4k citations), Immunology (1.0k citations), Genetics (921 citations), Biomedical Engineering (648 citations) and Molecular Biology (992 citations). Simon Olivares has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Laurence J.N. Cooper, Harjeet Singh, Richard E. Champlin, Helen Huls, Tiejuan Mi, Dean A. Lee, Kirsten C. Switzer, Sourindra N. Maiti, Lenka V. Hurton and Michael C. Jensen. Their work appears in journals such as Blood, Cancer Research, PLoS ONE, Molecular Therapy and Clinical Cancer Research.
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.