Fung‐Lung Chung

12.1k citations
161 papers · 10.0k indexed · h-index 57
Topics
Genomics, phytochemicals, and oxidative stress (83 papers)Glutathione Transferases and Polymorphisms (36 papers)Carcinogens and Genotoxicity Assessment (21 papers)

In The Last Decade

Fung‐Lung Chung

160 papers receiving 9.7k citations

Peers

Fung‐Lung Chung
Comparison fields: 5 of 138
  • Molecular Biology 7.1k
  • Organic Chemistry 2.0k
  • Cancer Research 1.4k
  • Plant Science 1.4k
  • Biochemistry 1.3k
Replace Roderick H. Dashwood with:
Roderick H. Dashwood United States
Vernon E. Steele United States
Andreas J. Gescher United Kingdom
Harry H. S. Fong United States
Mou‐Tuan Huang United States
Takuji Tanaka Japan
Nanjoo Suh United States
Shantu Amin United States
Ronald A. Lubet United States
Hoyoku Nishino Japan
Fung‐Lung Chung relative to Roderick H. Dashwood United States Roderick H. Dashwood's profile →
Citations per field
00.5×1.5×
Roderick H. Dashwood · 1×
Citations per year

Countries citing papers authored by Fung‐Lung Chung

Since Specialization
Citations

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

Fields of papers citing papers by Fung‐Lung Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fung‐Lung Chung. 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 Fung‐Lung Chung. The network helps show where Fung‐Lung Chung may publish in the future.

Co-authorship network of co-authors of Fung‐Lung Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Fung‐Lung Chung. A scholar is included among the top collaborators of Fung‐Lung Chung 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 Fung‐Lung Chung. Fung‐Lung Chung 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 10
3 25
4 5
5 27
6 51
7 100
8 60
9 27
10 119
11 26
12 292
13 12
14 53
15 50
16 51
17 6
18 5
19 76
20 19

About Fung‐Lung Chung

Fung‐Lung Chung is a scholar working on Biochemistry, Biochemistry and Cancer Research, having authored 161 papers that have together received 10.0k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (83 papers), Glutathione Transferases and Polymorphisms (36 papers) and Carcinogens and Genotoxicity Assessment (21 papers). The work is most often cited by research in Biochemistry (1.3k citations), Toxicology (424 citations) and Molecular Biology (7.1k citations). Fung‐Lung Chung has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include C. Clifford Conaway, Stephen S. Hecht, Shantu Amin, Raghu G. Nath, Mark A. Morse, Hauh‐Jyun Candy Chen, Karin I. Eklind, Lixin Mi, Yang‐Ming Yang and Jiao Ding. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

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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