Nan Xin
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Thermodynamic properties of mixtures
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
-
- Thermodynamic properties of mixtures 8
- Co-authors
- Andrew Dillin (2 shared papers)Qian Zhang (1 shared paper)Ye Tian (1 shared paper)Peng Chen (1 shared paper)Xueying Wu (1 shared paper)Ying Zhang (7 shared papers)Maogang He (6 shared papers)Yang Liu (5 shared papers)
- Journals
- Journal of Chemical & Engineering Data (3 papers)The Journal of Supercritical Fluids (3 papers)The Journal of Chemical Thermodynamics (2 papers)Fluid Phase Equilibria (2 papers)PLoS Genetics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Nan Xin
36 papers receiving 687 citations
Peers
Comparison fields: 5 of 108
- Aging 106
- Fluid Flow and Transfer Processes 88
- Filtration and Separation 18
- Endocrine and Autonomic Systems 27
- Cell Biology 69
Countries citing papers authored by Nan Xin
This map shows the geographic impact of Nan Xin'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 Xin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Xin more than expected).
Fields of papers citing papers by Nan Xin
This network shows the impact of papers produced by Nan Xin. 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 Xin. The network helps show where Nan Xin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Xin, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | 2017 | 60 | |
| 3 | 2022 | 52 | |
| 4 | 2014 | 52 | |
| 5 | 2012 | 32 | |
| 6 | 2015 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2022 | 22 | |
| 9 | 2017 | 20 | |
| 10 | 2014 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2015 | 16 | |
| 14 | 2011 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2025 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2015 | 10 | |
| 20 | 2018 | 9 |
About Nan Xin
Nan Xin is a scholar working on Molecular Biology, Fluid Flow and Transfer Processes, Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry, having authored 38 papers that have together received 691 indexed citations. Recurring topics across this work include Thermodynamic properties of mixtures (8 papers), Advanced Thermoelectric Materials and Devices (8 papers), Phase Equilibria and Thermodynamics (7 papers), Chemical Thermodynamics and Molecular Structure (6 papers), Chalcogenide Semiconductor Thin Films (4 papers), 2D Materials and Applications (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Thermal properties of materials (3 papers). The work is most often cited by research in Aging (106 citations), Fluid Flow and Transfer Processes (88 citations), Filtration and Separation (18 citations), Endocrine and Autonomic Systems (27 citations) and Cell Biology (69 citations). Nan Xin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Andrew Dillin, Qian Zhang, Ye Tian, Peng Chen, Xueying Wu, Ying Zhang, Maogang He, Yang Liu, Yanjun Sun and John M. Prausnitz. Their work appears in journals such as Journal of Chemical & Engineering Data, The Journal of Supercritical Fluids, The Journal of Chemical Thermodynamics, Fluid Phase Equilibria and PLoS 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.