Xinqi Fan

1.6k citations
41 papers · 972 indexed · h-index 16
Topics
Glycosylation and Glycoproteins Research (10 papers)Face recognition and analysis (9 papers)Carbohydrate Chemistry and Synthesis (7 papers)
Partner nations
ChinaHong KongPakistan

In The Last Decade

Xinqi Fan

40 papers receiving 953 citations

Peers

Xinqi Fan
Comparison fields: 5 of 120
  • Molecular Biology 565
  • Organic Chemistry 288
  • Plant Science 184
  • Computer Vision and Pattern Recognition 114
  • Radiology, Nuclear Medicine and Imaging 98
Replace Corella S. Casas-Delucchi with:
Corella S. Casas-Delucchi Germany
Yusong Guo China
Zachary E. Perlman United States
Alison O’Neil United States
Justin C. Yarrow United States
Anton E. Krukowski United States
Cheryl A. Telmer United States
Derek Thirstrup United States
Anselm Levskaya United States
Xinqi Fan relative to Corella S. Casas-Delucchi Germany Corella S. Casas-Delucchi's profile →
Citations per field
00.5×11.4×
Corella S. Casas-Delucchi · 1×
Citations per year

Countries citing papers authored by Xinqi Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xinqi Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinqi Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Xinqi Fan. A scholar is included among the top collaborators of Xinqi Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinqi Fan. Xinqi Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 12
4 3
5 7
6 7
7 2
8 18
9 6
10 30
11 31
12 30
13 117
14 11
15 103
16 7
17 150
18 24
19 61
20 58

About Xinqi Fan

Xinqi Fan is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Endocrinology, having authored 41 papers that have together received 972 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Face recognition and analysis (9 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Structural Biology (24 citations), Biophysics (66 citations) and Organic Chemistry (288 citations). Xinqi Fan has collaborated with scholars based in China, Hong Kong and Pakistan. Frequent co-authors include Xing Chen, Mingjie Jiang, Ke Qin, Wei Qin, Hong Yan, Yuntao Zhu, De‐en Sun, Wen Zhou, Pinou Lv and Bo Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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