Fun Sun Chu

2.9k citations
118 papers · 2.6k · h-index 24

Impact in

    • Aquatic Ecosystems and Phytoplankton Dynamics
    • Marine Toxins and Detection Methods
    • Mycotoxins in Agriculture and Food
    • Wheat and Barley Genetics and Pathology

Papers in

Fun Sun Chu

113 papers receiving 2.2k citations

Peers

Fun Sun Chu
Comparison fields: 5 of 103
  • Environmental Chemistry 455
  • Plant Science 1.4k
  • Biotechnology 217
  • Cancer Research 280
  • Food Science 373
Replace F S Chu with:
F S Chu United States
Yoshio Ueno Japan
Feng‐Yih Yu Taiwan
Maurice O. Moss United Kingdom
Silvio Uhlig Norway
Sylviane Dragacci France
E.E. Creppy France
Douglas L. Park United States
N. D. Davis United States
Mitsuru Hirota Japan
Fun Sun Chu relative to F S Chu United States F S Chu's profile →
Citations per field
00.5×1.6×
F S Chu · 1×
Citations per year

Countries citing papers authored by Fun Sun Chu

Since Specialization
Citations

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

Fields of papers citing papers by Fun Sun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fun Sun Chu. 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 Fun Sun Chu. The network helps show where Fun Sun Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Fun Sun Chu, 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 Fun Sun Chu Line = papers co-authored together Fun Sun Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979197
2 1971142
3 1991128
4 1990121
5 1971115
6 197172
7 198469
8 199865
9 200263
10 196662
11 199857
12
Indirect enzyme-linked immunosorbent assay for saxitoxin in shellfish.
198557
13 197446
14 199445
15 196939
16 197237
17 198537
18 199937
19 199635
20
Comparison of radioimmunoassay and enzyme-linked immunosorbent assay for determining aflatoxin M1 in milk.
198132

About Fun Sun Chu

Fun Sun Chu is a scholar working on Plant Science, Molecular Biology, Food Science, Biotechnology and Environmental Chemistry, having authored 118 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (77 papers), Marine Toxins and Detection Methods (10 papers), Indoor Air Quality and Microbial Exposure (9 papers), Pesticide Residue Analysis and Safety (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Plant Pathogens and Fungal Diseases (8 papers), Insect and Pesticide Research (7 papers) and Synthesis and Biological Evaluation (7 papers). The work is most often cited by research in Environmental Chemistry (455 citations), Plant Science (1.4k citations), Biotechnology (217 citations), Cancer Research (280 citations) and Food Science (373 citations). Fun Sun Chu has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Feng‐Yih Yu, Xuan Huang, Hugh L. Trenk, Samy H. Ashoor, Biing-Hui Liu, Michael W. Pariza, Titan S. Fan, Daryl Lund, Merlin S. Bergdoll and Chi Chang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food and Agricultural Immunology, Journal of Food Protection, Journal of AOAC International and Biochemistry.

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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