Xiaocong Pang

2.1k citations
36 papers · 1.3k indexed · 1 hit paper · h-index 18
Topics
Computational Drug Discovery Methods (17 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)Influenza Virus Research Studies (4 papers)

In The Last Decade

Xiaocong Pang

35 papers receiving 1.3k citations

Hit Papers

Targeting integrin pathways: mechanisms and advances in t...20232026202420252023200400600

Peers

Xiaocong Pang
Comparison fields: 5 of 121
  • Molecular Biology 525
  • Computational Theory and Mathematics 276
  • Pharmacology 160
  • Oncology 146
  • Immunology 134
Replace Scott J. Weir with:
Scott J. Weir United States
Anjali Pandey United States
Ahmed Elkamhawy South Korea
Shuwen Yu China
Saileta Prabhu United States
Mi Yang United States
Francesca Cirillo Italy
Xin Lü China
Chia‐Ron Yang Taiwan
Sang Joon Lee South Korea
Xiaocong Pang relative to Scott J. Weir United States Scott J. Weir's profile →
Citations per field
00.5×3.4×
Scott J. Weir · 1×
Citations per year

Countries citing papers authored by Xiaocong Pang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocong Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocong Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaocong Pang. A scholar is included among the top collaborators of Xiaocong Pang 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 Xiaocong Pang. Xiaocong Pang 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 1
2 0
3 7
4 23
5 22
6
Targeting integrin pathways: mechanisms and advances in therapybreakdown →
610
7 6
8 23
9 47
10 31
11 70
12 11
13 48
14 14
15 9
16 17
17 44
18 21
19 9
20 25

About Xiaocong Pang

Xiaocong Pang is a scholar working on Computational Theory and Mathematics, Internal Medicine and Health Informatics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Immunology and Allergy (117 citations), Computational Theory and Mathematics (276 citations) and Pharmacology (88 citations). Xiaocong Pang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yimin Cui, Qian Xiang, Hanxu Zhang, Guanhua Du, Zhiwei Qiu, Yanlun Gu, He Xu, Zhiyan Liu, Ran Xie and Nan Zhao. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of the American Society of Nephrology.

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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