Lixing Wang

1.3k total citations
41 papers, 1.1k citations indexed

About

Lixing Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Lixing Wang has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Pathology and Forensic Medicine and 7 papers in Epidemiology. Recurrent topics in Lixing Wang's work include Cardiac Ischemia and Reperfusion (9 papers), Anesthesia and Neurotoxicity Research (6 papers) and Mitochondrial Function and Pathology (5 papers). Lixing Wang is often cited by papers focused on Cardiac Ischemia and Reperfusion (9 papers), Anesthesia and Neurotoxicity Research (6 papers) and Mitochondrial Function and Pathology (5 papers). Lixing Wang collaborates with scholars based in China, Canada and United States. Lixing Wang's co-authors include Curt D. Sigmund, Xuebo Liu, Michael L. McCormick, Neal L. Weintraub, Lynn L. Stoll, Christopher A. Caldarone, Andrew N. Redington, Wei Zhu, Norihiko Oka and Yunpeng Zhang and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Lixing Wang

37 papers receiving 1.0k citations

Peers

Lixing Wang
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 330
  • Physiology 251
  • Pathology and Forensic Medicine 240
  • Epidemiology 213
  • Molecular Biology 204
Replace Gawiyou Danialou with:
Gawiyou Danialou Canada
David Nethery United States
Xinhua Yin China
Sang‐Ho Woo South Korea
Joel Linden United States
A. E. Taylor United States
Kazuhiro Sugahara Japan
Michael Henrich Germany
Florian Simon Germany
Caterina Lonati Italy
Gawiyou Danialou Canada View profile →
Citations per field, relative to Lixing Wang
Lixing Wang · 1×
Citations per year, relative to Lixing Wang
Lixing Wang · 1×

Countries citing papers authored by Lixing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lixing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Lixing Wang. A scholar is included among the top collaborators of Lixing 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 Lixing Wang. Lixing 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 2
4 2
5 1
6 3
7 1
8 1
9 2
10 15
11 1
12 5
13 4
14 5
15 67
16 36
17 7
18 41
19 14
20 22

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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