Xiaojing Wang

4.7k total citations
149 papers, 3.6k citations indexed

About

Xiaojing Wang is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Xiaojing Wang has authored 149 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 36 papers in Epidemiology and 21 papers in Oncology. Recurrent topics in Xiaojing Wang's work include Liver Disease Diagnosis and Treatment (15 papers), Epigenetics and DNA Methylation (9 papers) and Hepatitis C virus research (7 papers). Xiaojing Wang is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Epigenetics and DNA Methylation (9 papers) and Hepatitis C virus research (7 papers). Xiaojing Wang collaborates with scholars based in China, United States and Japan. Xiaojing Wang's co-authors include Dennis R. Roop, David A. Greenhalgh, Sylviane Dennler, Peter ten Dijke, Alain Mauviel, Allen Li, Jocelyne André, Thierry Magnaldo, Franck Verrecchia and Xinhua Xiao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Xiaojing Wang

144 papers receiving 3.6k citations

Peers

Xiaojing Wang
Comparison fields: 5 of 145
  • Molecular Biology 1.9k
  • Oncology 720
  • Epidemiology 445
  • Cancer Research 424
  • Genetics 378
Kaori Suzuki Japan
Yuan Li China
Xia Li China
Weidong Zhu China
Shu‐Feng Lei China
Jodie L. Babitt United States
Jun Wu China
Mark J. Cowley Australia
Fei‐Yan Deng China
Xiaoyu Song China
Kaori Suzuki Japan View profile →
Citations per field, relative to Xiaojing Wang
Xiaojing Wang · 1×
Citations per year, relative to Xiaojing Wang
Xiaojing Wang · 1×

Countries citing papers authored by Xiaojing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Wang. A scholar is included among the top collaborators of Xiaojing 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 Xiaojing Wang. Xiaojing 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 0
2 0
3 5
4 9
5 32
6 10
7 15
8 11
9 6
10 1
11 22
12 1
13 70
14 1
15 22
16 98
17 112
18 31
19
Cloning of thymosin β 4 gene from Inner Mongolia Cashmere goat and its stable transfection into caprine fetal fibroblasts cells.
1
20
Agarose Blotting: a Simple Way to Observe Plant Epidermal Cells
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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