De Lin
Impact in
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Trypanosoma species research and implications 3
- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Lawrence M. Sayre (6 shared papers)Li Kang (3 shared papers)Xiaochun Zhu (1 shared paper)Quan Yuan (1 shared paper)Xiaoxia Tang (1 shared paper)Tae‐Hwa Chun (1 shared paper)D.C. Liebler (5 shared papers)Samir Saleh (1 shared paper)
- Journals
- SLAS DISCOVERY (3 papers)Molecular & Cellular Proteomics (3 papers)Journal of Proteome Research (2 papers)Chemical Research in Toxicology (2 papers)Drug Metabolism and Disposition (1 paper)
- Partner nations
- United StatesUnited KingdomCuba
In The Last Decade
De Lin
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Biochemistry 135
- Biochemistry 108
- Physiology 195
- Molecular Biology 535
- Spectroscopy 133
Countries citing papers authored by De Lin
This map shows the geographic impact of De 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 De Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Lin more than expected).
Fields of papers citing papers by De Lin
This network shows the impact of papers produced by De 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 De Lin. The network helps show where De Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside De 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 312 | |
| 2 | 2016 | 183 | |
| 3 | 2005 | 145 | |
| 4 | 2008 | 92 | |
| 5 | 2013 | 57 | |
| 6 | 2009 | 53 | |
| 7 | 2015 | 40 | |
| 8 | 2007 | 34 | |
| 9 | 2021 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2018 | 25 | |
| 12 | 2010 | 25 | |
| 13 | 2015 | 19 | |
| 14 | 2004 | 16 | |
| 15 | 2014 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 10 | |
| 18 | 2024 | 7 | |
| 19 | 2015 | 3 | |
| 20 | 2024 | 3 |
About De Lin
De Lin is a scholar working on Molecular Biology, Epidemiology, Spectroscopy, Organic Chemistry and Oncology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Peptidase Inhibition and Analysis (4 papers), Trypanosoma species research and implications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Biochemistry (135 citations), Biochemistry (108 citations), Physiology (195 citations), Molecular Biology (535 citations) and Spectroscopy (133 citations). De Lin has collaborated with scholars based in United States, United Kingdom and Cuba. Frequent co-authors include Lawrence M. Sayre, Li Kang, Xiaochun Zhu, Quan Yuan, Xiaoxia Tang, Tae‐Hwa Chun, D.C. Liebler, Samir Saleh, Mark A. Smith and Quan Liu. Their work appears in journals such as SLAS DISCOVERY, Molecular & Cellular Proteomics, Journal of Proteome Research, Chemical Research in Toxicology and Drug Metabolism and Disposition.
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.