Weijun Pan

4.4k citations
73 papers · 3.4k indexed · 2 hit papers · h-index 28
Topics
Zebrafish Biomedical Research Applications (16 papers)Wnt/β-catenin signaling in development and cancer (12 papers)Cancer-related gene regulation (10 papers)

In The Last Decade

Weijun Pan

68 papers receiving 3.3k citations

Hit Papers

GSK3: a multifaceted kinase in Wnt signaling200120262009201720092001200400600

Peers

Weijun Pan
Comparison fields: 5 of 124
  • Molecular Biology 2.2k
  • Cell Biology 562
  • Oncology 369
  • Genetics 304
  • Surgery 295
Replace Paolo Santambrogio with:
Paolo Santambrogio Italy
Jean Charron Canada
Stephen J. P. Pratt United States
Ping Chi United States
Margaret Clagett‐Dame United States
Michael R. Bösl Germany
Mathias Mericskay France
Antonis K. Hatzopoulos United States
Michael T. Chin United States
Maria Eriksson Sweden
Weijun Pan relative to Paolo Santambrogio Italy Paolo Santambrogio's profile →
Citations per field
00.5×2.8×
Paolo Santambrogio · 1×
Citations per year

Countries citing papers authored by Weijun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Weijun Pan. A scholar is included among the top collaborators of Weijun Pan 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 Weijun Pan. Weijun Pan 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 1
4 8
5 8
6 10
7 2
8 4
9 8
10 19
11 3
12 0
13 20
14 10
15 6
16
[Course and risk factors of maternal pregnancy-related anxiety across pregnancy in Ma' anshan city].
9
17 19
18 73
19 51
20
Low-Density Lipoprotein Receptor-Related Protein-5 Binds to Axin and Regulates the Canonical Wnt Signaling Pathwaybreakdown →
677

About Weijun Pan

Weijun Pan is a scholar working on Cell Biology, Obstetrics and Gynecology and Molecular Biology, having authored 73 papers that have together received 3.4k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (16 papers), Wnt/β-catenin signaling in development and cancer (12 papers) and Cancer-related gene regulation (10 papers). The work is most often cited by research in Cell Biology (562 citations), Molecular Biology (2.2k citations) and Cancer Research (249 citations). Weijun Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dianqing Wu, Jiyong Wang, Junhao Mao, David Kimelman, Gist H. Farr, Huidong Yuan, Christopher Flynn, Li Lin, Shinji Takada and Bo Liu. Their work appears in journals such as Nature, Science and Cell.

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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