De Lin
Impact in
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in ⓘ
-
- Adipokines, Inflammation, and Metabolic Diseases 3
- Trypanosoma species research and implications 3
- Co-authors
- Lawrence M. Sayre (5 shared papers)Li Kang (3 shared papers)Xiaoxia Tang (1 shared paper)Quan Yuan (1 shared paper)Tae‐Hwa Chun (1 shared paper)Xiaochun Zhu (1 shared paper)D.C. Liebler (5 shared papers)Samir Saleh (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (3 papers)SLAS DISCOVERY (2 papers)Journal of Proteome Research (2 papers)Chemical Research in Toxicology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
De Lin
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Biochemistry 130
- Biochemistry 106
- Physiology 204
- Spectroscopy 128
- Molecular Biology 527
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 296 | |
| 2 | 2016 | 177 | |
| 3 | 2005 | 133 | |
| 4 | 2008 | 89 | |
| 5 | 2013 | 51 | |
| 6 | 2009 | 50 | |
| 7 | 2015 | 39 | |
| 8 | 2007 | 34 | |
| 9 | 2021 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2018 | 25 | |
| 12 | 2010 | 25 | |
| 13 | 2015 | 19 | |
| 14 | 2004 | 16 | |
| 15 | 2014 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2015 | 3 |
About De Lin
De Lin is a scholar working on Molecular Biology, Epidemiology, Oncology, Spectroscopy and Organic Chemistry, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Peptidase Inhibition and Analysis (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Trypanosoma species research and implications (3 papers), Computational Drug Discovery Methods (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Biochemistry (130 citations), Biochemistry (106 citations), Physiology (204 citations), Spectroscopy (128 citations) and Molecular Biology (527 citations). De Lin has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Lawrence M. Sayre, Li Kang, Xiaoxia Tang, Quan Yuan, Tae‐Hwa Chun, Xiaochun Zhu, D.C. Liebler, Samir Saleh, Mark A. Smith and George Perry. Their work appears in journals such as Molecular & Cellular Proteomics, SLAS DISCOVERY, Journal of Proteome Research, Chemical Research in Toxicology and Clinical Cancer 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.