De Lin

23 papers and 1.0k indexed citations i.

About

De Lin is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, De Lin has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in De Lin’s work include Peptidase Inhibition and Analysis (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). De Lin is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). De Lin collaborates with scholars based in United States, United Kingdom and Czechia. De Lin's co-authors include Lawrence M. Sayre, Quan Yuan, Xiaochun Zhu, Xiaoxia Tang, D.C. Liebler, Li Kang, Tae‐Hwa Chun, Samir Saleh, Hyoung‐gon Lee and Quan Liu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of De Lin i

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.

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).

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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