Mingming Jia
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 10
- Oncology top 2%
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 3
- Molecular Biology top 2%
- Genetics top 2%
- Genomics and Rare Diseases 5
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- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 2
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- HIV Research and Treatment 4
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- Lung Cancer Treatments and Mutations 2
- Co-authors
- Simon ForbesSally BamfordChai Yin KokNidhi BindalPeter J. CampbellDavid BeareMichael R. StrattonCharlotte G. Cole
- Journals
- Nucleic Acids Research (4 papers)Clinical & Experimental Immunology (2 papers)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mingming Jia
19 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cancer Research 2.1k
- Oncology 1.5k
- Molecular Biology 3.7k
- Pathology and Forensic Medicine 726
- Genetics 840
Countries citing papers authored by Mingming Jia
This map shows the geographic impact of Mingming Jia'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 Mingming Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Jia more than expected).
Fields of papers citing papers by Mingming Jia
This network shows the impact of papers produced by Mingming Jia. 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 Mingming Jia. The network helps show where Mingming Jia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mingming Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 19 | |
| 2 | 2021 | 82 | |
| 3 | 2020 | 15 | |
| 4 | 2018 | 174 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 1 | |
| 7 | 2017 | 6 | |
| 8 | 2016 | 8 | |
| 9 | COSMIC: somatic cancer genetics at high-resolutionbreakdown → | 2016 | 1291 |
| 10 | 2016 | 111 | |
| 11 | 2015 | 1 | |
| 12 | COSMIC: exploring the world's knowledge of somatic mutations in human cancerbreakdown → | 2014 | 1693 |
| 13 | 2014 | 40 | |
| 14 | 2012 | 31 | |
| 15 | COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancerbreakdown → | 2010 | 1720 |
| 16 | 2010 | 1 | |
| 17 | 2009 | 417 | |
| 18 | [T cell receptor diversity of CD8+ T lymphocytes and its association with viral load in individuals with HIV-1 infection]. | 2009 | 4 |
| 19 | 2008 | 15 |
About Mingming Jia
Mingming Jia is a scholar working on Virology, Cancer Research and Immunology, having authored 19 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Immune Cell Function and Interaction (6 papers), Genomics and Rare Diseases (5 papers), HIV Research and Treatment (4 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (2.1k citations), Oncology (1.5k citations) and Molecular Biology (3.7k citations). Mingming Jia has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Simon Forbes, Sally Bamford, Chai Yin Kok, Nidhi Bindal, Peter J. Campbell, David Beare, Michael R. Stratton, Charlotte G. Cole, Harry Boutselakis and Tisham De. Their work appears in journals such as Nucleic Acids Research, Clinical & Experimental Immunology, Frontiers in Oncology, Journal of Hepatology and Advances in experimental medicine and biology.
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.