Min Pan
Impact in
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
- Biosensors and Analytical Detection
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
Papers in
-
- Advanced biosensing and bioanalysis techniques 19
- RNA Interference and Gene Delivery 5
-
- Nanoplatforms for cancer theranostics 7
- Co-authors
- Xiaoqing Liu (20 shared papers)Fuan Wang (13 shared papers)Qunying Jiang (9 shared papers)Zhen Xu (7 shared papers)Junlin Sun (8 shared papers)Jie Wei (3 shared papers)Qing Wang (2 shared papers)Yizhuo Zhou (6 shared papers)
- Journals
- Chemical Science (3 papers)ACS Applied Materials & Interfaces (2 papers)Sensors and Actuators B Chemical (2 papers)Chemical Communications (1 paper)Analytica Chimica Acta (1 paper)
- Partner nations
- China
In The Last Decade
Min Pan
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Biomedical Engineering 630
- Molecular Biology 816
- Cancer Research 126
- Materials Chemistry 385
- Bioengineering 41
Countries citing papers authored by Min Pan
This map shows the geographic impact of Min Pan'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 Min Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Pan more than expected).
Fields of papers citing papers by Min Pan
This network shows the impact of papers produced by Min Pan. 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 Min Pan. The network helps show where Min Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Pan, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2018 | 119 | |
| 3 | 2019 | 116 | |
| 4 | 2018 | 106 | |
| 5 | 2020 | 51 | |
| 6 | 2017 | 48 | |
| 7 | 2020 | 43 | |
| 8 | 2018 | 43 | |
| 9 | 2011 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 38 | |
| 12 | 2021 | 35 | |
| 13 | 2020 | 30 | |
| 14 | 2006 | 29 | |
| 15 | 2021 | 27 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 24 | |
| 18 | 2006 | 23 | |
| 19 | 2022 | 23 | |
| 20 | 2020 | 23 |
About Min Pan
Min Pan is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Cancer Research, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced Nanomaterials in Catalysis (7 papers), Carbon Nanotubes in Composites (7 papers), Electrochemical sensors and biosensors (6 papers), MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and Analytical Chemistry and Sensors (5 papers). The work is most often cited by research in Biomedical Engineering (630 citations), Molecular Biology (816 citations), Cancer Research (126 citations), Materials Chemistry (385 citations) and Bioengineering (41 citations). Min Pan has collaborated with scholars based in China. Frequent co-authors include Xiaoqing Liu, Fuan Wang, Qunying Jiang, Zhen Xu, Junlin Sun, Jie Wei, Qing Wang, Yizhuo Zhou, Yahua Liu and Wenxiao Wang. Their work appears in journals such as Chemical Science, ACS Applied Materials & Interfaces, Sensors and Actuators B Chemical, Chemical Communications and Analytica Chimica Acta.
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.