Nan Li
- Molecular Biology top 10%
- Surgery top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Health, Toxicology and Mutagenesis top 2%
- Co-authors
- Nicholas J. ShaheenLi XuErich M. SturgisJunjie ChenEric S. OrmanXin HanWenqi WangLorraine R. Reitzel
- Topics
- Esophageal Cancer Research and Treatment (20 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Effects and risks of endocrine disrupting chemicals (11 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nan Li
269 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 1.2k
- Surgery 1.1k
- Oncology 796
- Pulmonary and Respiratory Medicine 731
- Health, Toxicology and Mutagenesis 520
Countries citing papers authored by Nan Li
This map shows the geographic impact of Nan Li'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 Nan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Li more than expected).
Fields of papers citing papers by Nan Li
This network shows the impact of papers produced by Nan Li. 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 Nan Li. The network helps show where Nan Li may publish in the future.
Co-authorship network of co-authors of Nan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Nan Li. A scholar is included among the top collaborators of Nan Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nan Li. Nan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 36 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 33 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 23 | |
| 13 | Prognostic Significance of CCNB2 Expression in Triple-Negative Breast Cancer | 9 |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 24 | |
| 17 | 30 | |
| 18 | 32 | |
| 19 | Socioeconomic disparities in thyroid cancer incidence within the Surveillance, Epidemiology, and End Results (SEER) registry, 1980–2008 | 4 |
| 20 | [Plain radiograph and CT features of 112 patients with SARS in acute stage]. | 8 |
About Nan Li
Nan Li is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Pediatrics, Perinatology and Child Health, having authored 288 papers that have together received 5.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (520 citations), Endocrinology, Diabetes and Metabolism (518 citations) and Oncology (796 citations). Nan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nicholas J. Shaheen, Li Xu, Erich M. Sturgis, Junjie Chen, Eric S. Orman, Xin Han, Wenqi Wang, Lorraine R. Reitzel, Xianglin L. Du and Joseph M. Braun. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Genes & Development.
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.