Xiaoting Xuan

622 citations
24 papers · 468 · h-index 9

Impact in

Papers in

Xiaoting Xuan

22 papers receiving 459 citations

Peers

Xiaoting Xuan
Comparison fields: 5 of 71
  • Biotechnology 218
  • Animal Science and Zoology 133
  • Food Science 149
  • Endocrinology 26
  • Biomedical Engineering 134
Replace Ki Ho Baek with:
Ki Ho Baek South Korea
Sotiriοs Ι. Εkonomou United Kingdom
Amali U. Alahakoon Sri Lanka
Mario Stahl Germany
Xianming Zeng China
Yoshinori Kamitani Japan
Annalisa Segat Italy
Montserrat González-Raurich Spain
Setareh Ghorban Shiroodi United States
Anika Singh Canada
Xiaoting Xuan relative to Ki Ho Baek South Korea Ki Ho Baek's profile →
Citations per field
00.5×9.5×
Ki Ho Baek · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 201680
3 201660
4 201742
5 202240
6 201636
7 201833
8 202024
9 201916
10 20158
11 20218
12 20167
13 20246
14 20204
15 20244
16 20253
17 20243
18 20233
19
Lethal injury mechanism of slightly acidic electrolyzed water on Listeria monocytogenes.
20152
20 20251

About Xiaoting Xuan

Xiaoting Xuan is a scholar working on Biotechnology, Biomedical Engineering, Food Science, Animal Science and Zoology and Molecular Biology, having authored 24 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (8 papers), Listeria monocytogenes in Food Safety (8 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 Bee Products Chemical Analysis (2 papers). The work is most often cited by research in Biotechnology (218 citations), Animal Science and Zoology (133 citations), Food Science (149 citations), Endocrinology (26 citations) and Biomedical Engineering (134 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, John Shi and Juhee Ahn. Their work appears in journals such as Food Control, Journal of Food Science, Food Research International, Drying Technology and Food Chemistry.

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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