Hong‐Hong Yan
Impact in
- Oncology top 1%
- Lung Cancer Research Studies
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Brain Metastases and Treatment
Papers in
-
- Lung Cancer Treatments and Mutations 98
- Lung Cancer Diagnosis and Treatment 41
- Oncology 71
- Lung Cancer Research Studies 38
- Colorectal Cancer Treatments and Studies 22
- Cancer Immunotherapy and Biomarkers 12
Hong‐Hong Yan
125 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 2.5k
- Pulmonary and Respiratory Medicine 2.8k
- Cancer Research 866
- Hepatology 108
- Molecular Biology 870
Countries citing papers authored by Hong‐Hong Yan
This map shows the geographic impact of Hong‐Hong Yan'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 Hong‐Hong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐Hong Yan more than expected).
Fields of papers citing papers by Hong‐Hong Yan
This network shows the impact of papers produced by Hong‐Hong Yan. 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 Hong‐Hong Yan. The network helps show where Hong‐Hong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong‐Hong Yan, 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 113 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 16 | |
| 14 | 2018 | 42 | |
| 15 | 2017 | 1 | |
| 16 | Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinoma Hit paper breakdown → | 2016 | 741 |
| 17 | 2016 | 211 | |
| 18 | 2014 | 13 | |
| 19 | 2012 | 14 | |
| 20 | 2011 | 17 |
About Hong‐Hong Yan
Hong‐Hong Yan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 133 papers that have together received 3.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (98 papers), Lung Cancer Diagnosis and Treatment (41 papers), Lung Cancer Research Studies (38 papers), Cancer Genomics and Diagnostics (23 papers), Colorectal Cancer Treatments and Studies (22 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers). The work is most often cited by research in Oncology (2.5k citations), Pulmonary and Respiratory Medicine (2.8k citations), Cancer Research (866 citations), Hepatology (108 citations) and Molecular Biology (870 citations). Hong‐Hong Yan has collaborated with scholars based in China, United States and India. Frequent co-authors include Yi‐Long Wu, Jin‐Ji Yang, Qing Zhou, Wen‐Zhao Zhong, Jian Su, Xu‐Chao Zhang, Hai‐Yan Tu, Xue‐Ning Yang, Hua‐Jun Chen and Chong‐Rui Xu. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Lung Cancer, Annals of Oncology and Clinical Lung Cancer.
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.