Nanye Long
Impact in
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Hepatology top 10%
- Liver Diseases and Immunity
Papers in
- Genetics 11
- Genetic and phenotypic traits in livestock 9
- Genetic Mapping and Diversity in Plants and Animals 8
- Co-authors
- K.A. Weigel (6 shared papers)Daniel Gianola (6 shared papers)Guilherme J. M. Rosa (6 shared papers)Thomas Urban (5 shared papers)Naga Chalasani (4 shared papers)Wen Huang (2 shared papers)Óscar González-Recio (2 shared papers)Hasan Khatib (1 shared paper)
- Journals
- Clinical Gastroenterology and Hepatology (2 papers)Polar Biology (2 papers)Genetics (2 papers)Scientific Reports (1 paper)Food and Chemical Toxicology (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Nanye Long
26 papers receiving 807 citations
Peers
Comparison fields: 5 of 116
- Pharmacology 190
- Hepatology 112
- Genetics 331
- Plant Science 194
- Cancer Research 70
Countries citing papers authored by Nanye Long
This map shows the geographic impact of Nanye Long'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 Nanye Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanye Long more than expected).
Fields of papers citing papers by Nanye Long
This network shows the impact of papers produced by Nanye Long. 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 Nanye Long. The network helps show where Nanye Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanye Long, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2017 | 98 | |
| 3 | 2008 | 92 | |
| 4 | 2011 | 82 | |
| 5 | 2014 | 69 | |
| 6 | 2012 | 58 | |
| 7 | 2010 | 43 | |
| 8 | 2011 | 41 | |
| 9 | 2009 | 34 | |
| 10 | 2011 | 23 | |
| 11 | 2013 | 19 | |
| 12 | 1953 | 17 | |
| 13 | 2009 | 14 | |
| 14 | 2011 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2012 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2012 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2013 | 8 |
About Nanye Long
Nanye Long is a scholar working on Genetics, Molecular Biology, Atmospheric Science, Pharmacology and Animal Science and Zoology, having authored 26 papers that have together received 829 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Animal Nutrition and Physiology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Genetics and Plant Breeding (3 papers), Geology and Paleoclimatology Research (3 papers) and Isotope Analysis in Ecology (2 papers). The work is most often cited by research in Pharmacology (190 citations), Hepatology (112 citations), Genetics (331 citations), Plant Science (194 citations) and Cancer Research (70 citations). Nanye Long has collaborated with scholars based in United States, China and Spain. Frequent co-authors include K.A. Weigel, Daniel Gianola, Guilherme J. M. Rosa, Thomas Urban, Naga Chalasani, Wen Huang, Óscar González-Recio, Hasan Khatib, Zhen Zhao and Santiago Avendaño. Their work appears in journals such as Clinical Gastroenterology and Hepatology, Polar Biology, Genetics, Scientific Reports and Food and Chemical Toxicology.
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.