Nan Bing
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Internal Medicine top 10%
Papers in
-
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
-
- Renal cell carcinoma treatment 5
- Ferroptosis and cancer prognosis 1
- Co-authors
- Ina Hoeschele (3 shared papers)Pedro Mendes (1 shared paper)Alberto de la Fuente (1 shared paper)Colin F. Spraggs (8 shared papers)John C. Whittaker (5 shared papers)Vincent Mooser (7 shared papers)Lon R. Cardon (4 shared papers)Linda P. Briley (3 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Bioinformatics (1 paper)Human Molecular Genetics (1 paper)Veterinary Immunology and Immunopathology (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Nan Bing
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Pharmacology 140
- Internal Medicine 26
- Molecular Biology 548
- Cancer Research 96
- Genetics 152
Countries citing papers authored by Nan Bing
This map shows the geographic impact of Nan Bing'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 Bing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Bing more than expected).
Fields of papers citing papers by Nan Bing
This network shows the impact of papers produced by Nan Bing. 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 Bing. The network helps show where Nan Bing may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Bing, 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 | 2004 | 423 | |
| 2 | 2011 | 224 | |
| 3 | 2011 | 116 | |
| 4 | 2005 | 84 | |
| 5 | 2016 | 80 | |
| 6 | 2011 | 40 | |
| 7 | 2019 | 35 | |
| 8 | 2015 | 30 | |
| 9 | 2018 | 28 | |
| 10 | 2021 | 17 | |
| 11 | 2013 | 15 | |
| 12 | 2011 | 12 | |
| 13 | 2021 | 7 | |
| 14 | 2011 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2005 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2010 | 1 |
About Nan Bing
Nan Bing is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Cancer Research and Oncology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (5 papers), Gene expression and cancer classification (2 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic Associations and Epidemiology (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Pharmacology (140 citations), Internal Medicine (26 citations), Molecular Biology (548 citations), Cancer Research (96 citations) and Genetics (152 citations). Nan Bing has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ina Hoeschele, Pedro Mendes, Alberto de la Fuente, Colin F. Spraggs, John C. Whittaker, Vincent Mooser, Lon R. Cardon, Linda P. Briley, Charles Cox and Steven H. Stein. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics, Human Molecular Genetics, Veterinary Immunology and Immunopathology and The American Journal of Human Genetics.
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.