De Lin

1.4k citations
23 papers · 1.1k indexed · h-index 14

Impact in

    • Antioxidant Activity and Oxidative Stress
  • Physiology top 10%
    • Adipose Tissue and Metabolism

Papers in

De Lin

23 papers receiving 1.1k citations

Peers

De Lin
Comparison fields: 5 of 99
  • Biochemistry 130
  • Biochemistry 106
  • Physiology 204
  • Spectroscopy 128
  • Molecular Biology 527
Replace James N. Riggins with:
James N. Riggins United States
Gregory P. Tochtrop United States
Aaron T. Jacobs United States
Bogdan G. Gugiu United States
Reynold Homan United States
Daniel Poeckel Germany
Peng Chu China
Vladimir Yermilov France
Julián Carretero Spain
Marcial Llanillo Spain
De Lin relative to James N. Riggins United States James N. Riggins's profile →
Citations per field
00.5×2.7×
James N. Riggins · 1×
Citations per year

Countries citing papers authored by De Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with De Lin Line = papers co-authored together De Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006296
2 2016177
3 2005133
4 200889
5 201351
6 200950
7 201539
8 200734
9 202130
10 201729
11 201825
12 201025
13 201519
14 200416
15 201413
16 202012
17 202010
18 20246
19 20243
20 20153

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.

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