Jing‐Wei Xiong

4.1k citations
89 papers · 2.9k indexed · 1 hit paper · h-index 26
Topics
Congenital heart defects research (25 papers)Zebrafish Biomedical Research Applications (11 papers)MicroRNA in disease regulation (8 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Jing‐Wei Xiong

84 papers receiving 2.9k citations

Hit Papers

Genome editing with RNA-guided Cas9 nuclease in Zebrafish...20132026201720212013200400600

Peers

Jing‐Wei Xiong
Comparison fields: 5 of 131
  • Molecular Biology 2.1k
  • Cell Biology 439
  • Cancer Research 335
  • Genetics 320
  • Surgery 262
Replace Ning Liu with:
Ning Liu China
Vikram Prasad United States
Andrea Rossi Germany
Tim M. Townes United States
Guang Hu United States
Bernhard Schmierer United Kingdom
W.W.M. Pim Pijnappel Netherlands
Yonglun Luo Denmark
Joshua Gorham United States
Boris V. Skryabin Germany
Jing‐Wei Xiong relative to Ning Liu China Ning Liu's profile →
Citations per field
00.5×1.5×1.9×
Ning Liu · 1×
Citations per year

Countries citing papers authored by Jing‐Wei Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Wei Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Wei Xiong. 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 Jing‐Wei Xiong. The network helps show where Jing‐Wei Xiong may publish in the future.

Co-authorship network of co-authors of Jing‐Wei Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Wei Xiong. A scholar is included among the top collaborators of Jing‐Wei Xiong 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 Jing‐Wei Xiong. Jing‐Wei Xiong 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 4
3 7
4 1
5 2
6 6
7 5
8 2
9 23
10 10
11 26
12 12
13 16
14 18
15 12
16 64
17 24
18 56
19 200
20 21

About Jing‐Wei Xiong

Jing‐Wei Xiong is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 89 papers that have together received 2.9k indexed citations. Recurring topics across this work include Congenital heart defects research (25 papers), Zebrafish Biomedical Research Applications (11 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Aging (74 citations), Molecular Biology (2.1k citations) and Cell Biology (439 citations). Jing‐Wei Xiong has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiaojun Zhu, Nannan Chang, Lu Gao, Jianzhong Xi, Dan Zhu, Changhong Sun, Heidi Stuhlmann, Frank Kuhnert, Amy Leahy and Qiu Du. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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