Fang Jin
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 14
- Oncology 27
- Cancer Cells and Metastasis 11
- Co-authors
- Jan M. van Deursen (6 shared papers)John Lowengrub (4 shared papers)Vittorio Cristini (3 shared papers)Caroline H. Damsky (4 shared papers)Steven M. Wise (3 shared papers)Hermann B. Frieboes (3 shared papers)Karthik B. Jeganathan (4 shared papers)Darren J. Baker (3 shared papers)
- Journals
- PLoS ONE (7 papers)International Journal of Pharmaceutics (4 papers)European Radiology (4 papers)Biosensors and Bioelectronics (3 papers)Analytical Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Fang Jin
148 papers receiving 5.7k citations
Fang Jin's Hit Papers
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 526
- Immunology and Allergy 331
- Cell Biology 868
- Cancer Research 563
- Oncology 808
Countries citing papers authored by Fang Jin
This map shows the geographic impact of Fang Jin'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 Fang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Jin more than expected).
Fields of papers citing papers by Fang Jin
This network shows the impact of papers produced by Fang Jin. 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 Fang Jin. The network helps show where Fang Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Jin, 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 389 | |
| 2 | 2000 | 321 | |
| 3 | 2008 | 304 | |
| 4 | 1997 | 300 | |
| 5 | 2009 | 171 | |
| 6 | 2010 | 159 | |
| 7 | 2009 | 146 | |
| 8 | 2019 | 114 | |
| 9 | 2013 | 111 | |
| 10 | 2000 | 111 | |
| 11 | 2016 | 104 | |
| 12 | 2009 | 99 | |
| 13 | 2003 | 98 | |
| 14 | 2015 | 91 | |
| 15 | 2011 | 88 | |
| 16 | 2001 | 86 | |
| 17 | 2010 | 84 | |
| 18 | 2021 | 83 | |
| 19 | 2016 | 81 | |
| 20 | 2021 | 76 |
About Fang Jin
Fang Jin is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Biomedical Engineering, having authored 163 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Cancer Cells and Metastasis (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Functional Brain Connectivity Studies (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (8 papers), Microfluidic and Bio-sensing Technologies (8 papers) and Microfluidic and Capillary Electrophoresis Applications (7 papers). The work is most often cited by research in Modeling and Simulation (526 citations), Immunology and Allergy (331 citations), Cell Biology (868 citations), Cancer Research (563 citations) and Oncology (808 citations). Fang Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jan M. van Deursen, John Lowengrub, Vittorio Cristini, Caroline H. Damsky, Steven M. Wise, Hermann B. Frieboes, Karthik B. Jeganathan, Darren J. Baker, Duško Ilić and Guang‐Hui Xiao. Their work appears in journals such as PLoS ONE, International Journal of Pharmaceutics, European Radiology, Biosensors and Bioelectronics and Analytical Chemistry.
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.