Sheng Fong

739 citations
15 papers · 541 indexed · h-index 10
Topics
Genetics, Aging, and Longevity in Model Organisms (13 papers)Mitochondrial Function and Pathology (5 papers)Biochemical Acid Research Studies (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Sheng Fong

14 papers receiving 532 citations

Peers

Sheng Fong
Comparison fields: 5 of 87
  • Molecular Biology 271
  • Aging 271
  • Physiology 180
  • Endocrine and Autonomic Systems 78
  • Biochemistry 44
Replace Manish Chamoli with:
Manish Chamoli United States
Clare Edwards United States
Claire Schaar United States
Gregory M. Solis United States
Li Fang Ng Singapore
Annika Traa Canada
Alex L. Lublin United States
Camille C. Caldeira da Silva Brazil
Nadine Urban Germany
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Sheng Fong relative to Manish Chamoli United States Manish Chamoli's profile →
Citations per field
00.5×12.3×
Manish Chamoli · 1×
Citations per year

Countries citing papers authored by Sheng Fong

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Fong

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Fong. A scholar is included among the top collaborators of Sheng Fong 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 Sheng Fong. Sheng Fong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 0
3 17
4 5
5 12
6 55
7 9
8 13
9 72
10 36
11 107
12 71
13 49
14
Measuring reactive oxygen species in C. elegans using DCFDA - a word of caution
7
15 87

About Sheng Fong

Sheng Fong is a scholar working on Aging, Biochemistry and Endocrine and Autonomic Systems, having authored 15 papers that have together received 541 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Mitochondrial Function and Pathology (5 papers) and Biochemical Acid Research Studies (4 papers). The work is most often cited by research in Aging (271 citations), Endocrine and Autonomic Systems (78 citations) and Biological Psychiatry (25 citations). Sheng Fong has collaborated with scholars based in Singapore, Switzerland and United States. Frequent co-authors include Jan Gruber, Barry Halliwell, Sebastian Schaffer, Li Fang Ng, Ce-Belle Chen, Irwin K. Cheah, Soon Yew Tang, Philip K. Moore, Giorgia Pastorin and Nicholas S. Tolwinski. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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