Nan Jing
Impact in
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
- Biophysics top 5%
Papers in
-
- Gut microbiota and health 7
- Advanced biosensing and bioanalysis techniques 5
- Ginseng Biological Effects and Applications 5
- Oncology 14
- Cytokine Signaling Pathways and Interactions 10
- Co-authors
- Jun Kameoka (8 shared papers)Guoqiang Jiang (10 shared papers)Xiu‐Ping Yan (3 shared papers)Gerard L. Coté (4 shared papers)Yuxin Wang (7 shared papers)Jinbo Yang (8 shared papers)Luoyang Wang (9 shared papers)Zheng Liu (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Lab on a Chip (3 papers)Investigational New Drugs (2 papers)Cell Research (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Nan Jing
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Electrochemistry 100
- Biophysics 81
- Electronic, Optical and Magnetic Materials 207
- Analytical Chemistry 97
- Oncology 234
Countries citing papers authored by Nan Jing
This map shows the geographic impact of Nan Jing'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 Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Jing more than expected).
Fields of papers citing papers by Nan Jing
This network shows the impact of papers produced by Nan Jing. 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 Jing. The network helps show where Nan Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Jing, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 191 | |
| 2 | 2018 | 88 | |
| 3 | 2019 | 87 | |
| 4 | 2007 | 83 | |
| 5 | 2014 | 79 | |
| 6 | 2013 | 59 | |
| 7 | 2020 | 57 | |
| 8 | 2019 | 52 | |
| 9 | 2006 | 52 | |
| 10 | 2009 | 47 | |
| 11 | 2020 | 41 | |
| 12 | 2024 | 41 | |
| 13 | 2005 | 40 | |
| 14 | 2020 | 39 | |
| 15 | 2010 | 37 | |
| 16 | 2003 | 37 | |
| 17 | 2018 | 31 | |
| 18 | 2019 | 30 | |
| 19 | 2011 | 28 | |
| 20 | 2016 | 26 |
About Nan Jing
Nan Jing is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Cancer Research, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), Gut microbiota and health (7 papers), interferon and immune responses (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Ginseng Biological Effects and Applications (5 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Electrochemistry (100 citations), Biophysics (81 citations), Electronic, Optical and Magnetic Materials (207 citations), Analytical Chemistry (97 citations) and Oncology (234 citations). Nan Jing has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Kameoka, Guoqiang Jiang, Xiu‐Ping Yan, Gerard L. Coté, Yuxin Wang, Jinbo Yang, Luoyang Wang, Zheng Liu, George R. Stark and Miao Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Lab on a Chip, Investigational New Drugs, Cell Research and Applied Physics Letters.
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.