Tao Ren
- Endocrinology top 2%
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 5
- Immunology top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 10%
- RNA modifications and cancer 5
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- Lung Cancer Diagnosis and Treatment 10
- Lung Cancer Treatments and Mutations 6
- Neonatal Respiratory Health Research 5
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- Radiomics and Machine Learning in Medical Imaging 7
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- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- William F. DietrichRussell E. VanceDario S. ZamboniCraig R. RoyKyung‐Ae LeeJames M. CunninghamMarceline CôtéJohn Misasi
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Tao Ren
84 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Endocrinology 200
- Infectious Diseases 527
- Immunology 385
- Cancer Research 195
- Molecular Biology 816
Countries citing papers authored by Tao Ren
This map shows the geographic impact of Tao Ren'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 Tao Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Ren more than expected).
Fields of papers citing papers by Tao Ren
This network shows the impact of papers produced by Tao Ren. 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 Tao Ren. The network helps show where Tao Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Ren, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 0 | |
| 11 | First-Line Anlotinib Combined with Stereotactic Body Radiation Therapy for an Octogenarian with Pulmonary Carcinosarcoma | 2022 | 1 |
| 12 | 2022 | 4 | |
| 13 | 2022 | 6 | |
| 14 | 2022 | 1 | |
| 15 | 2020 | 10 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 17 | |
| 18 | 2017 | 1 | |
| 19 | 2014 | 7 | |
| 20 | Small molecule inhibitors reveal Niemann–Pick C1 is essential for Ebola virus infectionbreakdown → | 2011 | 527 |
About Tao Ren
Tao Ren is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Treatments and Mutations (6 papers), Neonatal Respiratory Health Research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), RNA modifications and cancer (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Endocrinology (200 citations), Infectious Diseases (527 citations) and Immunology (385 citations). Tao Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include William F. Dietrich, Russell E. Vance, Dario S. Zamboni, Craig R. Roy, Kyung‐Ae Lee, James M. Cunningham, Marceline Côté, John Misasi, Anna Bruchez and Lisa E. Hensley. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Communications.
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.