Nan‐Wei Su

55 papers receiving 1.8k citations

Peers

Nan‐Wei Su
Comparison fields: 5 of 117
  • Biotechnology 431
  • Biochemistry 172
  • Pharmacology 204
  • Food Science 429
  • Nutrition and Dietetics 338
Replace Ramesh Prasad Pandey with:
Ramesh Prasad Pandey South Korea
Ralf G. Berger Germany
Shangwei Chen China
Yuesheng Dong China
Sridevi Annapurna Singh India
Ahmed Zayed Egypt
Hong Gao China
Cheng‐Bo Gu China
Seham S. El‐Hawary Egypt
Prasad S. Variyar India
Nan‐Wei Su relative to Ramesh Prasad Pandey South Korea Ramesh Prasad Pandey's profile →
Citations per field
00.5×2×3.3×
Ramesh Prasad Pandey · 1×
Citations per year

Countries citing papers authored by Nan‐Wei Su

Since Specialization
Citations

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

Fields of papers citing papers by Nan‐Wei Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan‐Wei Su. 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 Nan‐Wei Su. The network helps show where Nan‐Wei Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Nan‐Wei Su, 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 Nan‐Wei Su Line = papers co-authored together Nan‐Wei Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007228
2 2016227
3 2012205
4 2003163
5 2005148
6 201095
7 200579
8
A rapid method for determination of ethanol in alcoholic beverages using capillary gas chromatography
200360
9 201159
10 200535
11 201733
12 202031
13 200130
14 201029
15 201728
16 201328
17 201227
18 201524
19 201523
20 201223

About Nan‐Wei Su

Nan‐Wei Su is a scholar working on Molecular Biology, Nutrition and Dietetics, Plant Science, Pathology and Forensic Medicine and Food Science, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (12 papers), Food composition and properties (9 papers), Phytochemicals and Antioxidant Activities (5 papers), Diet, Metabolism, and Disease (4 papers), Analytical Chemistry and Chromatography (4 papers), Edible Oils Quality and Analysis (4 papers), Sesame and Sesamin Research (4 papers) and Microbial Metabolites in Food Biotechnology (4 papers). The work is most often cited by research in Biotechnology (431 citations), Biochemistry (172 citations), Pharmacology (204 citations), Food Science (429 citations) and Nutrition and Dietetics (338 citations). Nan‐Wei Su has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Min-Hsiung Lee, Yii-Lih Lin, Kuan‐Chen Cheng, Teng-Hsu Wang, Ying‐Jang Lai, Cheng‐Chun Chou, Kuan‐I Chen, Shunsuke Kimura, Yen‐Chen Tung and Min‐Hsiung Pan. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Journal of Food and Drug Analysis, Journal of Functional Foods and Food Research International.

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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