Jack Pollard
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Immunology top 5%
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 4
- Cancer-related Molecular Pathways 2
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Stuart Tugendreich (1 shared paper)Jeff Green (1 shared paper)A. Krämer (1 shared paper)Wendi Bacon (1 shared paper)Joon Sang Lee (1 shared paper)Bram Van de Sande (1 shared paper)Jon Hill (1 shared paper)Andrew R. Leach (1 shared paper)
- Journals
- Cancer Research (8 papers)Molecular Cancer Therapeutics (3 papers)OncoImmunology (2 papers)PLoS ONE (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Jack Pollard
23 papers receiving 4.7k citations
Jack Pollard's Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 683
- Immunology 628
- Molecular Biology 2.1k
- Biological Psychiatry 61
- Neurology 179
Countries citing papers authored by Jack Pollard
This map shows the geographic impact of Jack Pollard'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 Jack Pollard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Pollard more than expected).
Fields of papers citing papers by Jack Pollard
This network shows the impact of papers produced by Jack Pollard. 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 Jack Pollard. The network helps show where Jack Pollard may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Pollard, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Causal analysis approaches in Ingenuity Pathway Analysis Hit paper breakdown → | 2013 | 4022 |
| 2 | Applications of single-cell RNA sequencing in drug discovery and development Hit paper breakdown → | 2023 | 246 |
| 3 | 2017 | 124 | |
| 4 | 2014 | 58 | |
| 5 | 2020 | 49 | |
| 6 | 2005 | 36 | |
| 7 | 2013 | 35 | |
| 8 | 2014 | 24 | |
| 9 | 2022 | 23 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 13 | |
| 12 | 2011 | 13 | |
| 13 | 2022 | 9 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2018 | 1 |
About Jack Pollard
Jack Pollard is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 25 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Algorithms and Data Compression (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Breast Cancer Therapies (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (683 citations), Immunology (628 citations), Molecular Biology (2.1k citations), Biological Psychiatry (61 citations) and Neurology (179 citations). Jack Pollard has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Stuart Tugendreich, Jeff Green, A. Krämer, Wendi Bacon, Joon Sang Lee, Bram Van de Sande, Jon Hill, Andrew R. Leach, Jonathan Manning and Yong Wang. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, OncoImmunology, PLoS ONE and Bioinformatics.
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.