Shanlin Fu

7.3k citations
138 papers · 5.8k indexed · 2 hit papers · h-index 31
Topics
Forensic Toxicology and Drug Analysis (53 papers)Metabolomics and Mass Spectrometry Studies (22 papers)Cannabis and Cannabinoid Research (16 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
Partner nations
AustraliaChinaMalaysia

In The Last Decade

Shanlin Fu

130 papers receiving 5.6k citations

Hit Papers

Biochemistry and pathology of radical-mediated protein ox...1996202620062016199719964008001.2k

Peers

Shanlin Fu
Comparison fields: 5 of 172
  • Molecular Biology 2.0k
  • Physiology 749
  • Toxicology 721
  • Pharmacology 644
  • Spectroscopy 545
Replace William Slikker with:
William Slikker United States
Jing Fang China
David G. Watson United Kingdom
Dietrich Büsselberg Qatar
Chih‐Yang Huang Taiwan
Lucas Liaudet Switzerland
Jie Zhang China
László Virág Hungary
David A. Barrett United Kingdom
Neven Žarković Croatia
Shanlin Fu relative to William Slikker United States William Slikker's profile →
Citations per field
00.5×3.0×
William Slikker · 1×
Citations per year

Countries citing papers authored by Shanlin Fu

Since Specialization
Citations

This map shows the geographic impact of Shanlin Fu'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 Shanlin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanlin Fu more than expected).

Fields of papers citing papers by Shanlin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shanlin Fu. 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 Shanlin Fu. The network helps show where Shanlin Fu may publish in the future.

Co-authorship network of co-authors of Shanlin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shanlin Fu. A scholar is included among the top collaborators of Shanlin Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shanlin Fu. Shanlin Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 0
5 3
6 2
7 8
8 3
9 9
10 22
11 9
12 16
13 4
14 6
15 13
16 6
17 4
18 3
19 46
20 153

About Shanlin Fu

Shanlin Fu is a scholar working on Toxicology, Biological Psychiatry and Chemical Health and Safety, having authored 138 papers that have together received 5.8k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (53 papers), Metabolomics and Mass Spectrometry Studies (22 papers) and Cannabis and Cannabinoid Research (16 papers). The work is most often cited by research in Toxicology (721 citations), Biochemistry (436 citations) and Clinical Biochemistry (380 citations). Shanlin Fu has collaborated with scholars based in Australia, China and Malaysia. Frequent co-authors include Roger T. Dean, Michael J. Davies, Roland Stocker, Hongjie Wang, Unnikrishnan Kuzhiumparambil, Daniel Pasin, Jan Copeland, David J. Allsop, Adam Cawley and Alan J. Budney. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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