Xiaoting Xuan

642 citations
25 papers · 536 · h-index 10

Impact in

Papers in

Xiaoting Xuan

24 papers receiving 527 citations

Peers

Xiaoting Xuan
Comparison fields: 5 of 72
  • Biotechnology 258
  • Animal Science and Zoology 141
  • Food Science 168
  • Endocrinology 28
  • Biomedical Engineering 155
Replace Yun Ji Kim with:
Yun Ji Kim South Korea
Huhu Wang China
Ki Ho Baek South Korea
Poliana Mendes de Souza Brazil
Amali U. Alahakoon Sri Lanka
Sotiriοs Ι. Εkonomou United Kingdom
Xianming Zeng China
Anika Singh Canada
Joseph E. Maxim United States
Si Hyeon Roh South Korea
Xiaoting Xuan relative to Yun Ji Kim South Korea Yun Ji Kim's profile →
Citations per field
00.5×7.5×
Yun Ji Kim · 1×
Citations per year

Countries citing papers authored by Xiaoting Xuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Xuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 201688
3 201666
4 201746
5 202242
6 201640
7 201834
8 202028
9 201917
10 201916
11 20159
12 20218
13 20168
14 20247
15 20247
16 20244
17 20204
18 20253
19 20233
20 20253

About Xiaoting Xuan

Xiaoting Xuan is a scholar working on Biotechnology, Biomedical Engineering, Food Science, Animal Science and Zoology and Insect Science, having authored 25 papers that have together received 536 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (9 papers), Advanced Chemical Sensor Technologies (9 papers), Microbial Inactivation Methods (7 papers), Meat and Animal Product Quality (6 papers), Insect Utilization and Effects (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Food Drying and Modeling (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Biotechnology (258 citations), Animal Science and Zoology (141 citations), Food Science (168 citations), Endocrinology (28 citations) and Biomedical Engineering (155 citations). Xiaoting Xuan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Donghong Liu, Tian Ding, Shiguo Chen, Xingqian Ye, Jiangang Ling, Jiao Li, Xiaojun Liao, Yan Cui, Xudong Lin and John Shi. Their work appears in journals such as Food Control, Journal of Food Science, CyTA - Journal of Food, Food Science & Nutrition and Journal of Applied Microbiology.

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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