Ke-ren Shan

435 citations
31 papers · 350 indexed · h-index 10
Topics
Nicotinic Acetylcholine Receptors Study (10 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)Hepatitis B Virus Studies (4 papers)
Partner nations
ChinaSwedenNetherlands

In The Last Decade

Ke-ren Shan

28 papers receiving 342 citations

Peers

Ke-ren Shan
Comparison fields: 5 of 65
  • Molecular Biology 150
  • Pharmacology 94
  • Physiology 78
  • Water Science and Technology 68
  • Health, Toxicology and Mutagenesis 66
Replace Fengjie Tian with:
Fengjie Tian China
Hong He China
Sachin Kumar Tripathi India
Zhiyuan Tian China
Li‐Ming Lien Taiwan
Zhi Tang China
Dominique Santiard-Baron France
Érika Chi-Ahumada Mexico
Caroline Serrano‐Nascimento Brazil
Ke-ren Shan relative to Fengjie Tian China Fengjie Tian's profile →
Citations per field
00.5×6.7×
Fengjie Tian · 1×
Citations per year

Countries citing papers authored by Ke-ren Shan

Since Specialization
Citations

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

Fields of papers citing papers by Ke-ren Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke-ren Shan. 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 Ke-ren Shan. The network helps show where Ke-ren Shan may publish in the future.

Co-authorship network of co-authors of Ke-ren Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Ke-ren Shan. A scholar is included among the top collaborators of Ke-ren Shan 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 Ke-ren Shan. Ke-ren Shan 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 0
3 2
4 23
5 7
6 1
7 1
8
[Study on the association of IL-10-592 polymorphism with susceptibility to hepatitis B viral infection in Han, Yi and Yao ethnic groups in Guizhou province].
3
9 9
10 59
11 8
12 39
13 20
14
[5, 10-methylenetetrahydrofolate reductase polymorphism in three nationalities of Guizhou in China].
1
15
[G6PD Gene Mutations in Shui people in Sandu of Guizhou].
2
16 48
17 21
18 23
19 49
20
[The distribution of Y-chromosome haplotypes of Shui ethnic in Sandu,Guizhou].
1

About Ke-ren Shan

Ke-ren Shan is a scholar working on Pharmacology, Molecular Biology and Clinical Biochemistry, having authored 31 papers that have together received 350 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (10 papers), Cholinesterase and Neurodegenerative Diseases (7 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (30 citations), Pharmacology (94 citations) and Water Science and Technology (68 citations). Ke-ren Shan has collaborated with scholars based in China, Sweden and Netherlands. Frequent co-authors include Zhi‐Zhong Guan, Agneta Nordberg, Xiaolan Qi, Malahat Mousavi, Zhenpeng Guan, Ewa Hellström‐Lindahl, Rivka Ravid, Michael P. Waalkes, Yushu Zhou and Qin Yang. Their work appears in journals such as Scientific Reports, Environmental Health Perspectives and Neuroscience.

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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