Nan‐Wei Su

2.2k citations
54 papers · 1.7k indexed · h-index 20

Impact in

Papers in

Nan‐Wei Su

52 papers receiving 1.7k citations

Peers

Nan‐Wei Su
Comparison fields: 5 of 120
  • Biotechnology 417
  • Biochemistry 164
  • Pharmacology 206
  • Food Science 410
  • Nutrition and Dietetics 309
Replace Ramesh Prasad Pandey with:
Ramesh Prasad Pandey South Korea
Nikolas Fokialakis Greece
Juliano Lemos Bicas Brazil
Shangwei Chen China
Praveen Nagella India
Ahmed Zayed Egypt
Sridevi Annapurna Singh India
Ken‐ichi Nihei Japan
Hong Gao China
Cuiqin Li China
Nan‐Wei Su relative to Ramesh Prasad Pandey South Korea Ramesh Prasad Pandey's profile →
Citations per field
00.5×3.4×
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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007214
2 2016213
3 2012178
4 2003151
5 2005143
6 201084
7 200576
8
A rapid method for determination of ethanol in alcoholic beverages using capillary gas chromatography
200358
9 201154
10 200535
11 201731
12 202028
13 200127
14 201227
15 201027
16 201327
17 201223
18 201722
19 201521
20 201521

About Nan‐Wei Su

Nan‐Wei Su is a scholar working on Nutrition and Dietetics, Biochemistry, Pathology and Forensic Medicine, Food Science and Biotechnology, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (11 papers), Food composition and properties (8 papers), Phytochemicals and Antioxidant Activities (5 papers), Analytical Chemistry and Chromatography (4 papers), Edible Oils Quality and Analysis (4 papers), Microbial Metabolites in Food Biotechnology (4 papers), Diet, Metabolism, and Disease (4 papers) and Sesame and Sesamin Research (4 papers). The work is most often cited by research in Biotechnology (417 citations), Biochemistry (164 citations), Pharmacology (206 citations), Food Science (410 citations) and Nutrition and Dietetics (309 citations). Nan‐Wei Su has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Min-Hsiung Lee, Yii-Lih Lin, Kuan‐Chen Cheng, Teng-Hsu Wang, Ying‐Jang Lai, Min‐Hsiung Pan, Yen‐Chen Tung, Wei‐Ju Lee, Cheng‐Chun Chou and Kuan‐I Chen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Functional Foods, Journal of Food and Drug Analysis, Food Chemistry and Journal of Industrial Microbiology & Biotechnology.

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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