John Q. Lin
Impact in
- Spectroscopy top 2%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Archeology top 10%
Papers in
-
- Mass Spectrometry Techniques and Applications 8
- Advanced Proteomics Techniques and Applications 4
-
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Lívia S. Eberlin (12 shared papers)Jialing Zhang (10 shared papers)Wendong Yu (6 shared papers)James Suliburk (6 shared papers)Marta Sans (4 shared papers)Kyana Y. Garza (5 shared papers)Jinsong Liu (2 shared papers)Noah Giese (2 shared papers)
- Journals
- Cancer Research (3 papers)Clinical Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Personalized Medicine (1 paper)British Journal of Dermatology (1 paper)
- Partner nations
- United StatesBrazilAustralia
In The Last Decade
John Q. Lin
21 papers receiving 863 citations
Peers
Comparison fields: 5 of 93
- Spectroscopy 466
- Archeology 13
- Analytical Chemistry 68
- Biophysics 36
- Molecular Biology 389
Countries citing papers authored by John Q. Lin
This map shows the geographic impact of John Q. Lin'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 John Q. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Q. Lin more than expected).
Fields of papers citing papers by John Q. Lin
This network shows the impact of papers produced by John Q. Lin. 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 John Q. Lin. The network helps show where John Q. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside John Q. Lin, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 306 | |
| 2 | 2019 | 80 | |
| 3 | 2018 | 73 | |
| 4 | 2016 | 68 | |
| 5 | 2021 | 55 | |
| 6 | 2019 | 48 | |
| 7 | 2019 | 41 | |
| 8 | 1979 | 41 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 26 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2017 | 22 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 2 |
About John Q. Lin
John Q. Lin is a scholar working on Spectroscopy, Molecular Biology, Surgery, Oncology and Epidemiology, having authored 21 papers that have together received 883 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Isotope Analysis in Ecology (1 paper), Autopsy Techniques and Outcomes (1 paper), Microstructure and Mechanical Properties of Steels (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Spectroscopy (466 citations), Archeology (13 citations), Analytical Chemistry (68 citations), Biophysics (36 citations) and Molecular Biology (389 citations). John Q. Lin has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Lívia S. Eberlin, Jialing Zhang, Wendong Yu, James Suliburk, Marta Sans, Kyana Y. Garza, Jinsong Liu, Noah Giese, Rachel J. DeHoog and Alena Bensussan. Their work appears in journals such as Cancer Research, Clinical Chemistry, Proceedings of the National Academy of Sciences, Journal of Personalized Medicine and British Journal of Dermatology.
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.