Xianchao Pan

535 citations
39 papers · 402 indexed · h-index 13
Topics
Computational Drug Discovery Methods (10 papers)Protein Structure and Dynamics (6 papers)Drug Transport and Resistance Mechanisms (6 papers)
Partner nations
ChinaRussiaPoland

In The Last Decade

Xianchao Pan

38 papers receiving 397 citations

Peers

Xianchao Pan
Comparison fields: 5 of 82
  • Molecular Biology 164
  • Organic Chemistry 127
  • Computational Theory and Mathematics 68
  • Oncology 65
  • Immunology 35
Replace Jacqueline Wurst with:
Jacqueline Wurst United States
Davide Bassani Italy
Anurag T. K. Baidya India
Lueacha Tabtimmai Thailand
Abdeen Tunde Ogunlana Nigeria
Kalaimathy Singaravelu Finland
Alicia Regueiro‐Ren United States
Claire Strain‐Damerell United Kingdom
Supaphorn Seetaha Thailand
Mitsuyuki Shimada Japan
Xianchao Pan relative to Jacqueline Wurst United States Jacqueline Wurst's profile →
Citations per field
00.5×3.1×
Jacqueline Wurst · 1×
Citations per year

Countries citing papers authored by Xianchao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xianchao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianchao Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Xianchao Pan. A scholar is included among the top collaborators of Xianchao Pan 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 Xianchao Pan. Xianchao Pan 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 2
2 7
3 8
4 7
5 4
6 2
7 4
8 12
9 2
10 15
11 16
12 24
13 3
14 4
15 14
16
[The associations between idiosyncratic adverse drug reactions and HLA alleles and their underlying mechanism].
2
17 13
18 22
19 1
20 2

About Xianchao Pan

Xianchao Pan is a scholar working on Computational Theory and Mathematics, Microbiology and Biotechnology, having authored 39 papers that have together received 402 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Organic Chemistry (127 citations), Computational Theory and Mathematics (68 citations) and Pharmacology (27 citations). Xianchao Pan has collaborated with scholars based in China, Russia and Poland. Frequent co-authors include Mei Hu, Shuheng Huang, Yang Li, Siping Wei, Qiang Fu, Dong Yi, Zhijie Zhang, Ji Lu, Na Hao and Jun Wei. Their work appears in journals such as PLoS ONE, ACS Catalysis and International Journal of Molecular Sciences.

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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