Peijing Yan

2.8k citations
99 papers · 1.7k indexed · h-index 23
Topics
Meta-analysis and systematic reviews (9 papers)Colorectal Cancer Surgical Treatments (7 papers)Health Systems, Economic Evaluations, Quality of Life (6 papers)

In The Last Decade

Peijing Yan

95 papers receiving 1.7k citations

Peers

Peijing Yan
Comparison fields: 5 of 142
  • Surgery 452
  • Oncology 346
  • Pulmonary and Respiratory Medicine 291
  • Endocrinology, Diabetes and Metabolism 259
  • Cardiology and Cardiovascular Medicine 199
Replace Jinhui Tian with:
Jinhui Tian China
Andrea P. Rossi Italy
Hao‐Min Cheng Taiwan
I‐Shiang Tzeng Taiwan
Patrizia Cardelli Italy
Chung‐Jen Yen Taiwan
Yi‐An Ko United States
Armin Imhof Germany
Emil Hagström Sweden
Στέλλα Δούμα Greece
Peijing Yan relative to Jinhui Tian China Jinhui Tian's profile →
Citations per field
00.5×1.7×
Jinhui Tian · 1×
Citations per year

Countries citing papers authored by Peijing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Peijing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijing Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Peijing Yan. A scholar is included among the top collaborators of Peijing Yan 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 Peijing Yan. Peijing Yan 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 3
3 2
4 5
5 1
6 72
7 3
8 18
9 8
10 20
11 7
12 52
13 19
14 34
15 42
16 1
17 1
18 23
19
[Prevalence of HIV infection and syphilis, sexual behaviors and awareness of HIV/AIDS related knowledge among men who have sex with men in China: a Meta-analysis of data collected from 2010 to 2013].
15
20 19

About Peijing Yan

Peijing Yan is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Complementary and alternative medicine, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (9 papers), Colorectal Cancer Surgical Treatments (7 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). The work is most often cited by research in Complementary and alternative medicine (136 citations), Endocrinology, Diabetes and Metabolism (259 citations) and Oncology (346 citations). Peijing Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kehu Yang, Meixuan Li, Liang Yao, Anthony H. Stonehouse, Ted Okerson, Robert G. Brodows, Xinyu Shi, Xiuxia Li, Huijuan Li and Yangqin Xun. Their work appears in journals such as Journal of Clinical Oncology, Diabetes and Cochrane Database of Systematic Reviews.

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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