Peiyong Guan

2.3k citations
26 papers · 897 indexed · h-index 13
Topics
Cancer and Skin Lesions (5 papers)Breast Lesions and Carcinomas (5 papers)Soft tissue tumor case studies (3 papers)

In The Last Decade

Peiyong Guan

24 papers receiving 893 citations

Peers

Peiyong Guan
Comparison fields: 5 of 74
  • Molecular Biology 560
  • Cancer Research 308
  • Oncology 167
  • Pathology and Forensic Medicine 130
  • Pulmonary and Respiratory Medicine 104
Replace Fernando Pardal with:
Fernando Pardal Portugal
Qingqing Ding United States
Nicola D. Roberts United Kingdom
Nobuyoshi Momiyama Japan
François Kuonen Switzerland
Masahiro Watatani Japan
Heike Varnholt United States
M R Emmert-Buck United States
Shyam M. Kavuri United States
Ulrike Lacher Germany
Peiyong Guan relative to Fernando Pardal Portugal Fernando Pardal's profile →
Citations per field
00.5×2.7×
Fernando Pardal · 1×
Citations per year

Countries citing papers authored by Peiyong Guan

Since Specialization
Citations

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

Fields of papers citing papers by Peiyong Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyong Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyong Guan. A scholar is included among the top collaborators of Peiyong Guan 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 Peiyong Guan. Peiyong Guan 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 0
4 15
5 1
6 14
7 1
8 9
9 16
10 21
11 20
12 89
13 106
14 10
15 8
16 12
17 55
18 115
19 320
20
[A study of 44 forensic autopsy cases of adrenal hemorrhage].
1

About Peiyong Guan

Peiyong Guan is a scholar working on Dermatology, Pathology and Forensic Medicine and Cancer Research, having authored 26 papers that have together received 897 indexed citations. Recurring topics across this work include Cancer and Skin Lesions (5 papers), Breast Lesions and Carcinomas (5 papers) and Soft tissue tumor case studies (3 papers). The work is most often cited by research in Cancer Research (308 citations), Molecular Biology (560 citations) and Dermatology (65 citations). Peiyong Guan has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Wing‐Kin Sung, Qiang Yu, Shuet Theng Lee, R. Krishna Murthy Karuturi, Zhimei Li, Zhenlong Wu, Bin Tean Teh, Min Feng, Jing Tan and Zhimei Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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