Xiaojuan Peng

1.0k total citations
43 papers, 819 citations indexed

About

Xiaojuan Peng is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Xiaojuan Peng has authored 43 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Pharmacology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiaojuan Peng's work include Wound Healing and Treatments (5 papers), Ginseng Biological Effects and Applications (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Xiaojuan Peng is often cited by papers focused on Wound Healing and Treatments (5 papers), Ginseng Biological Effects and Applications (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Xiaojuan Peng collaborates with scholars based in China, United States and Macao. Xiaojuan Peng's co-authors include Wencong Liu, Chuanbo Ding, Mingqian Hao, Zhongqiu Liu, Shuwen Sun, Jian Shi, Linlin Lu, Yingchun Zhao, Xueyan Chen and Ling Dong and has published in prestigious journals such as Blood, PLoS ONE and Molecules.

In The Last Decade

Xiaojuan Peng

42 papers receiving 804 citations

Peers

Xiaojuan Peng
Comparison fields: 5 of 107
  • Molecular Biology 353
  • Pharmacology 161
  • Oncology 134
  • Cancer Research 95
  • Rehabilitation 85
Replace Hong Sheng Cheng with:
Hong Sheng Cheng Singapore
Chuang-Ye Hong Taiwan
Chenlong Wang China
Qiangqiang Zhu China
Min Ho Jeong South Korea
Jin Han China
Hella Gergely United States
Asokan Devarajan United States
Ming‐Shun Wu Taiwan
Hong Sheng Cheng Singapore View profile →
Citations per field, relative to Xiaojuan Peng
Xiaojuan Peng · 1×
Citations per year, relative to Xiaojuan Peng
Xiaojuan Peng · 1×

Countries citing papers authored by Xiaojuan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojuan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Peng. A scholar is included among the top collaborators of Xiaojuan Peng 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 Xiaojuan Peng. Xiaojuan Peng 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
# Work Indexed citations
1 1
2 1
3 0
4 11
5 3
6 17
7 6
8 53
9 19
10 13
11 9
12 55
13 24
14 16
15 1
16 59
17 27
18 27
19
A new novel mutation in FBN1 causes autosomal dominant Marfan syndrome in a Chinese family.
21
20 13

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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