Xiaojia Jin
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
- Biomedical Engineering top 10%
- Plasmonic and Surface Plasmon Research
- Biosensors and Analytical Detection
Papers in
-
- Nanopore and Nanochannel Transport Studies 3
- Nanoplatforms for cancer theranostics 3
- Biosensors and Analytical Detection 2
-
- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Michael S. Strano (15 shared papers)Chuanhu Lei (3 shared papers)Jianrong Steve Zhou (3 shared papers)Xun Gong (12 shared papers)Michael A. Lee (7 shared papers)N.A. Bakh (7 shared papers)Freddy T. Nguyen (5 shared papers)Manki Son (5 shared papers)
- Journals
- Nature Communications (2 papers)Nature Nanotechnology (2 papers)ACS Nano (2 papers)Langmuir (1 paper)AIChE Journal (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Xiaojia Jin
20 papers receiving 596 citations
Peers
Comparison fields: 5 of 88
- Bioengineering 45
- Biomedical Engineering 251
- Organic Chemistry 142
- Biophysics 25
- Materials Chemistry 164
Countries citing papers authored by Xiaojia Jin
This map shows the geographic impact of Xiaojia 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 Xiaojia Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojia Jin more than expected).
Fields of papers citing papers by Xiaojia Jin
This network shows the impact of papers produced by Xiaojia 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 Xiaojia Jin. The network helps show where Xiaojia Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojia 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 128 | |
| 2 | 2015 | 76 | |
| 3 | 2020 | 66 | |
| 4 | 2022 | 45 | |
| 5 | 2016 | 45 | |
| 6 | 2021 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 30 | |
| 9 | 2023 | 30 | |
| 10 | 2022 | 21 | |
| 11 | 2023 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2015 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Xiaojia Jin
Xiaojia Jin is a scholar working on Biomedical Engineering, Molecular Biology, Bioengineering, Materials Chemistry and Organic Chemistry, having authored 24 papers that have together received 600 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (5 papers), Carbon Nanotubes in Composites (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Catalytic C–H Functionalization Methods (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Catalytic Cross-Coupling Reactions (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Bioengineering (45 citations), Biomedical Engineering (251 citations), Organic Chemistry (142 citations), Biophysics (25 citations) and Materials Chemistry (164 citations). Xiaojia Jin has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Michael S. Strano, Chuanhu Lei, Jianrong Steve Zhou, Xun Gong, Michael A. Lee, N.A. Bakh, Freddy T. Nguyen, Manki Son, Tony Low and Sang‐Hyun Oh. Their work appears in journals such as Nature Communications, Nature Nanotechnology, ACS Nano, Langmuir and AIChE Journal.
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.