Nanying Che
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
-
- Cancer Genomics and Diagnostics
Papers in
-
- Lung Cancer Treatments and Mutations 13
- Lung Cancer Diagnosis and Treatment 12
- Oncology 16
- Lung Cancer Research Studies 9
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Zichen Liu (13 shared papers)Xinting Yang (4 shared papers)Chengcai An (3 shared papers)Chuanyou Li (4 shared papers)Yin Gao (3 shared papers)Hongxia Li (4 shared papers)Xuxia Zhang (2 shared papers)Yujie Dong (8 shared papers)
In The Last Decade
Nanying Che
53 papers receiving 562 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 179
- Cancer Research 84
- Pulmonary and Respiratory Medicine 176
- Epidemiology 160
- Oncology 107
Countries citing papers authored by Nanying Che
This map shows the geographic impact of Nanying Che'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 Nanying Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanying Che more than expected).
Fields of papers citing papers by Nanying Che
This network shows the impact of papers produced by Nanying Che. 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 Nanying Che. The network helps show where Nanying Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanying Che, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 47 | |
| 2 | 2013 | 38 | |
| 3 | 2017 | 33 | |
| 4 | 2020 | 32 | |
| 5 | 2020 | 27 | |
| 6 | Infiltration of CD8+ FOXP3+ T cells, CD8+ T cells, and FOXP3+ T cells in non-small cell lung cancer microenvironment. | 2020 | 25 |
| 7 | 2019 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2009 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2009 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2004 | 14 | |
| 16 | 2019 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2022 | 10 |
About Nanying Che
Nanying Che is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Infectious Diseases, Surgery and Epidemiology, having authored 54 papers that have together received 567 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Lung Cancer Treatments and Mutations (13 papers), Mycobacterium research and diagnosis (12 papers), Lung Cancer Diagnosis and Treatment (12 papers), Lung Cancer Research Studies (9 papers), Cancer Genomics and Diagnostics (7 papers), Diagnosis and treatment of tuberculosis (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Infectious Diseases (179 citations), Cancer Research (84 citations), Pulmonary and Respiratory Medicine (176 citations), Epidemiology (160 citations) and Oncology (107 citations). Nanying Che has collaborated with scholars based in China, Greece and Ethiopia. Frequent co-authors include Zichen Liu, Xinting Yang, Chengcai An, Chuanyou Li, Yin Gao, Hongxia Li, Xuxia Zhang, Yujie Dong, Zhiguo Zhang and Xiaoyou Chen. Their work appears in journals such as Clinica Chimica Acta, American Journal of Clinical Pathology, Frontiers in Immunology, Journal of Clinical Pathology and Journal of Translational Medicine.
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.