Tujin Shi
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
- Advanced Biosensing Techniques and Applications
- Advanced biosensing and bioanalysis techniques
Papers in
- Spectroscopy 42
- Advanced Proteomics Techniques and Applications 42
- Mass Spectrometry Techniques and Applications 31
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- Advanced Biosensing Techniques and Applications 6
- Metabolomics and Mass Spectrometry Studies 4
- Single-cell and spatial transcriptomics 4
- Extracellular vesicles in disease 4
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Richard SmithWeijun QianTao LiuKarin RodlandDavid CampThomas FillmoreRonald MooreJacob Kagan
- Journals
- Analytical Chemistry (12 papers)Journal of Proteome Research (7 papers)Communications Biology (3 papers)PROTEOMICS (3 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Tujin Shi
61 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Spectroscopy 1.2k
- Molecular Biology 1.6k
- Transplantation 50
- Biophysics 64
- Aging 19
Countries citing papers authored by Tujin Shi
This map shows the geographic impact of Tujin Shi'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 Tujin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tujin Shi more than expected).
Fields of papers citing papers by Tujin Shi
This network shows the impact of papers produced by Tujin Shi. 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 Tujin Shi. The network helps show where Tujin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tujin Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 33 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 15 | |
| 11 | 2018 | 39 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 48 | |
| 15 | 2016 | 67 | |
| 16 | 2016 | 30 | |
| 17 | 2015 | 47 | |
| 18 | 2012 | 38 | |
| 19 | 2012 | 160 | |
| 20 | 2011 | 54 |
About Tujin Shi
Tujin Shi is a scholar working on Spectroscopy, Molecular Biology, Aging, Biophysics and Cancer Research, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (31 papers), Advanced Biosensing Techniques and Applications (6 papers), Biosensors and Analytical Detection (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Single-cell and spatial transcriptomics (4 papers), Extracellular vesicles in disease (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Spectroscopy (1.2k citations), Molecular Biology (1.6k citations), Transplantation (50 citations), Biophysics (64 citations) and Aging (19 citations). Tujin Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard Smith, Weijun Qian, Tao Liu, Karin Rodland, David Camp, Thomas Fillmore, Ronald Moore, Jacob Kagan, Keqi Tang and Carrie Nicora. Their work appears in journals such as Analytical Chemistry, Journal of Proteome Research, Communications Biology, PROTEOMICS and Molecular & Cellular Proteomics.
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.