Shasha Wang

1.3k total citations
70 papers, 887 citations indexed

About

Shasha Wang is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shasha Wang has authored 70 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 10 papers in Physiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shasha Wang's work include Genomics and Phylogenetic Studies (5 papers), Gastroesophageal reflux and treatments (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). Shasha Wang is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Gastroesophageal reflux and treatments (4 papers) and Cardiac Fibrosis and Remodeling (4 papers). Shasha Wang collaborates with scholars based in China, United States and Australia. Shasha Wang's co-authors include Lingxin Chen, Yixuan Wu, Kun Yin, Zhurong Zou, Haibo Wang, Ming Gong, Wenchao Huang, Yu Qian, Jianxin Tang and Liming Nie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shasha Wang

67 papers receiving 874 citations

Peers

Shasha Wang
Comparison fields: 5 of 125
  • Molecular Biology 357
  • Plant Science 100
  • Epidemiology 97
  • Endocrinology, Diabetes and Metabolism 88
  • Biomedical Engineering 82
Replace Liming Lin with:
Liming Lin China
Danying Zhang China
J Vidal Switzerland
Yuxi Liu China
Mirjana Pavlović United States
Y. Rabémampianina France
Liya Wang China
Martin Middleditch New Zealand
Pan Liu China
Sameh Magdeldin Egypt
Liming Lin China View profile →
Citations per field, relative to Shasha Wang
Shasha Wang · 1×
Citations per year, relative to Shasha Wang
Shasha Wang · 1×

Countries citing papers authored by Shasha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasha Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Wang. A scholar is included among the top collaborators of Shasha Wang 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 Shasha Wang. Shasha Wang 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 3
2 4
3 9
4 9
5 7
6 2
7 9
8 8
9 3
10 1
11 24
12 18
13 26
14 19
15 20
16 23
17 11
18
Deep sequencing-based transcriptome analysis of the oil-bearing plant Physic Nut (Jatropha curcas L.) under cold stress
8
19 6
20 1

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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