Tim Sen Wang

416 citations
7 papers · 118 · h-index 5

Impact in

    • Protein Tyrosine Phosphatases
    • Ubiquitin and proteasome pathways
    • Mitochondrial Function and Pathology
    • Melanoma and MAPK Pathways
    • ATP Synthase and ATPases Research
    • Hippo pathway signaling and YAP/TAZ

Papers in

Tim Sen Wang

6 papers receiving 116 citations

Peers

Tim Sen Wang
Comparison fields: 5 of 40
  • Molecular Biology 89
  • Cell Biology 17
  • Oncology 21
  • Immunology 14
  • Cancer Research 9
Replace Geronimo Dubra with:
Geronimo Dubra France
Katarzyna Anna Baranowska Norway
Jessica Endig Germany
Allison R. Rainey United States
E. Hui Clarissa Lee Singapore
Mingting Jiang China
Matteo Marchesini Italy
Isabella Pearsall United States
S. Lindsey Davis United States
Emerson Padiernos United States
Tim Sen Wang relative to Geronimo Dubra France Geronimo Dubra's profile →
Citations per field
00.5×
Geronimo Dubra · 1×
Citations per year

Countries citing papers authored by Tim Sen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tim Sen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Sen 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 Tim Sen Wang Line = papers co-authored together Tim Sen Wang links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201245
2 202035
3 201323
4 20237
5 20246
6 20222
7 20220

About Tim Sen Wang

Tim Sen Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Cellular and Molecular Neuroscience and Oncology, having authored 7 papers that have together received 118 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (3 papers), Protein Tyrosine Phosphatases (2 papers), Synthesis and biological activity (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Mitochondrial Function and Pathology (1 paper) and Marine Sponges and Natural Products (1 paper). The work is most often cited by research in Molecular Biology (89 citations), Cell Biology (17 citations), Oncology (21 citations), Immunology (14 citations) and Cancer Research (9 citations). Tim Sen Wang has collaborated with scholars based in United States. Frequent co-authors include Rashmi S. Hegde, Ram Naresh Pandey, Emmanuel Tadjuidje, Saulius Sumanas, Richard A. Lang, Nathan Brady, Isabelle Coppens, Anne Hamacher‐Brady, Allan E. Rettie and Matthew G. McDonald. Their work appears in journals such as Cancer Research, PLoS ONE, Journal of Clinical Oncology, Journal of Medicinal Chemistry and Developmental 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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