Xiaohong Shi

2.0k citations
53 papers · 1.4k indexed · h-index 21
Topics
Cancer-related molecular mechanisms research (7 papers)Diabetes and associated disorders (6 papers)Immunodeficiency and Autoimmune Disorders (4 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Xiaohong Shi

53 papers receiving 1.3k citations

Peers

Xiaohong Shi
Comparison fields: 5 of 122
  • Molecular Biology 409
  • Endocrinology, Diabetes and Metabolism 364
  • Physiology 263
  • Cancer Research 163
  • Epidemiology 160
Replace Speranza Rubattu with:
Speranza Rubattu Italy
Jin Li China
Jincheng Liu China
Motoaki Saito Japan
Susana Rovira‐Llopis Spain
Yanbo Li China
Emina Sudar-Milovanović Serbia
Dake Qi Canada
Víctor M. Víctor Spain
Adam Harvey United Kingdom
Xiaohong Shi relative to Speranza Rubattu Italy Speranza Rubattu's profile →
Citations per field
00.5×1.5×
Speranza Rubattu · 1×
Citations per year

Countries citing papers authored by Xiaohong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Shi. A scholar is included among the top collaborators of Xiaohong Shi 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 Xiaohong Shi. Xiaohong Shi 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 10
2 20
3 54
4 93
5 72
6 28
7 151
8 45
9 22
10 26
11 14
12 22
13 17
14 110
15 34
16
[Association of prostate cancer with PDLIM5, SLC22A3 and NKX3-1 in Chinese men].
1
17 20
18 25
19 6
20 16

About Xiaohong Shi

Xiaohong Shi is a scholar working on Molecular Medicine, Cancer Research and Aging, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Diabetes and associated disorders (6 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (364 citations), Cancer Research (163 citations) and Physiology (263 citations). Xiaohong Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yinghui Chen, Jin‐an Zhang, Yonghao Feng, Men Wu, Ronghua Song, Qiong Luo, Guoxiong Xu, Lubna Nadeem, Qiuming Yao and Bin Wang. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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