Mouer Wang

2.4k citations
34 papers · 1.5k · h-index 22

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • RNA Interference and Gene Delivery 3
    • Signaling Pathways in Disease 3
    • Pluripotent Stem Cells Research 2
    • Cytokine Signaling Pathways and Interactions 5

Mouer Wang

34 papers receiving 1.4k citations

Peers

Mouer Wang
Comparison fields: 5 of 83
  • Transplantation 186
  • Immunology 244
  • Physiology 54
  • Surgery 420
  • Molecular Biology 697
Replace Kazuaki Nakajima with:
Kazuaki Nakajima Japan
Neil P. Lewis United States
Rafia S. Al‐Lamki United Kingdom
April Stempien‐Otero United States
Rok Humar Switzerland
Breay W. Paty Canada
Helen A. Bull United Kingdom
Torbjörn Lundgren Sweden
Osamu Seguchi Japan
Louisa M.S. Gerhardt United States
Mouer Wang relative to Kazuaki Nakajima Japan Kazuaki Nakajima's profile →
Citations per field
00.5×2×4×6×8×9×
Kazuaki Nakajima · 1×
Citations per year

Countries citing papers authored by Mouer Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mouer Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mouer Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mouer Wang Line = papers co-authored together Mouer Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003209
2 2015186
3 2017125
4 199894
5 201993
6 199672
7 199970
8 200164
9 199863
10 199858
11 200155
12 199753
13 200534
14 199729
15 200428
16 199928
17 199726
18 199626
19 199723
20 201623

About Mouer Wang

Mouer Wang is a scholar working on Molecular Biology, Oncology, Surgery, Cardiology and Cardiovascular Medicine and Immunology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), T-cell and B-cell Immunology (3 papers), RNA Interference and Gene Delivery (3 papers), Immune Cell Function and Interaction (3 papers), Signaling Pathways in Disease (3 papers), Viral Infections and Immunology Research (3 papers), Pluripotent Stem Cells Research (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Transplantation (186 citations), Immunology (244 citations), Physiology (54 citations), Surgery (420 citations) and Molecular Biology (697 citations). Mouer Wang has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Stanislaw M. Stepkowski, Barry D. Kahan, Kimberly L. Napoli, Xiumei Qu, Susan M. Wall, Eric D. Green, Inès Royaux, Kathryn A. Hassell, Lorraine A. Everett and Jill W. Verlander. Their work appears in journals such as Transplantation, The Journal of Immunology, Circulation Research, Journal of the American Society of Nephrology and Metabolism.

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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