Xin‐Gui Peng

468 total citations
28 papers, 359 citations indexed

About

Xin‐Gui Peng is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Xin‐Gui Peng has authored 28 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Xin‐Gui Peng's work include Adipose Tissue and Metabolism (6 papers), Nutrition and Health in Aging (6 papers) and MRI in cancer diagnosis (5 papers). Xin‐Gui Peng is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Nutrition and Health in Aging (6 papers) and MRI in cancer diagnosis (5 papers). Xin‐Gui Peng collaborates with scholars based in China, United States and Australia. Xin‐Gui Peng's co-authors include Hui Mao, Shenghong Ju, Yingying Bai, Gao‐Jun Teng, Shenghong Ju, Jie Ding, Xin Cui, Chaojie Liu, Zhen Zhao and Xinyi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Radiology.

In The Last Decade

Xin‐Gui Peng

25 papers receiving 356 citations

Peers

Xin‐Gui Peng
Comparison fields: 5 of 61
  • Molecular Biology 111
  • Physiology 96
  • Radiology, Nuclear Medicine and Imaging 71
  • Biomedical Engineering 43
  • Cardiology and Cardiovascular Medicine 42
Replace Susan K. Brusnahan with:
Susan K. Brusnahan United States
Beatriz Herránz Spain
Jenni Virta Finland
Michał Kowalski Poland
Fabiana Kashiwabuchi United States
Luqian Zhao China
Shyam Bhakta United States
Xiangyang Zhu United States
Scott S. Kemp United States
Susan K. Brusnahan United States View profile →
Citations per field, relative to Xin‐Gui Peng
Xin‐Gui Peng · 1×
Citations per year, relative to Xin‐Gui Peng
Xin‐Gui Peng · 1×

Countries citing papers authored by Xin‐Gui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Gui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin‐Gui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Gui Peng. A scholar is included among the top collaborators of Xin‐Gui 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 Xin‐Gui Peng. Xin‐Gui 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 0
2 1
3 1
4 3
5 1
6 0
7 10
8 16
9 1
10 9
11 15
12 37
13 25
14 7
15 30
16
[Magnetic resonance evaluations of correlation of iron overload and osteoporosis in ovariectomized rats].
1
17 16
18 37
19 47
20 32

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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