Jiaming Li
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
Papers in
- Spectroscopy 14
- Advanced Proteomics Techniques and Applications 14
-
- Blood groups and transfusion 4
- Co-authors
- Steven P. Gygi (14 shared papers)João A. Paulo (9 shared papers)Edward L. Huttlin (8 shared papers)Devin K. Schweppe (6 shared papers)Jonathan G. Van Vranken (5 shared papers)Laura Pontano Vaites (4 shared papers)Ian Pike (2 shared papers)Ryan D. Bomgarden (2 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Nature Methods (2 papers)Cell (2 papers)eLife (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiaming Li
35 papers receiving 2k citations
Jiaming Li's Hit Papers
Peers
Comparison fields: 5 of 110
- Aging 178
- Spectroscopy 549
- Molecular Biology 808
- Geriatrics and Gerontology 36
- Physiology 220
Countries citing papers authored by Jiaming Li
This map shows the geographic impact of Jiaming Li'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 Jiaming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Li more than expected).
Fields of papers citing papers by Jiaming Li
This network shows the impact of papers produced by Jiaming Li. 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 Jiaming Li. The network helps show where Jiaming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaming Li, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples Hit paper breakdown → | 2020 | 348 |
| 2 | 2020 | 319 | |
| 3 | Biomarkers of aging Hit paper breakdown → | 2023 | 300 |
| 4 | 2020 | 238 | |
| 5 | TMTpro-18plex: The Expanded and Complete Set of TMTpro Reagents for Sample Multiplexing Hit paper breakdown → | 2021 | 204 |
| 6 | 2021 | 107 | |
| 7 | 2023 | 87 | |
| 8 | 2020 | 76 | |
| 9 | 2021 | 49 | |
| 10 | 2019 | 42 | |
| 11 | 2020 | 42 | |
| 12 | 2022 | 31 | |
| 13 | 2022 | 29 | |
| 14 | 2016 | 24 | |
| 15 | 2023 | 22 | |
| 16 | 2024 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2022 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2017 | 6 |
About Jiaming Li
Jiaming Li is a scholar working on Spectroscopy, Hematology, Aging, Computational Theory and Mathematics and Molecular Biology, having authored 44 papers that have together received 2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (14 papers), Blood groups and transfusion (4 papers), Computational Drug Discovery Methods (3 papers), Plant Molecular Biology Research (3 papers), Pancreatic function and diabetes (2 papers), Bioinformatics and Genomic Networks (2 papers), thermodynamics and calorimetric analyses (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Aging (178 citations), Spectroscopy (549 citations), Molecular Biology (808 citations), Geriatrics and Gerontology (36 citations) and Physiology (220 citations). Jiaming Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Steven P. Gygi, João A. Paulo, Edward L. Huttlin, Devin K. Schweppe, Jonathan G. Van Vranken, Laura Pontano Vaites, Ian Pike, Ryan D. Bomgarden, Karsten Kuhn and John C. Rogers. Their work appears in journals such as Journal of Proteome Research, Nature Methods, Cell, eLife and Nucleic Acids Research.
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.