P. Thavasu

802 citations
10 papers · 689 · h-index 8

Impact in

Papers in

    • Immunotoxicology and immune responses 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Angiogenesis and VEGF in Cancer 2
    • Signaling Pathways in Disease 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • Cancer therapeutics and mechanisms 1

P. Thavasu

10 papers receiving 664 citations

Peers

P. Thavasu
Comparison fields: 5 of 78
  • Hematology 124
  • Biological Psychiatry 10
  • Physiology 77
  • Immunology 59
  • Oncology 67
Replace Ya‐Ting Hsu with:
Ya‐Ting Hsu Taiwan
Eric T. Alexander United States
C. Floris Italy
Neelam Tejpal United States
M Schönharting Germany
Haiyan Zhu China
Leah M. Flick United States
Antoni Olona United Kingdom
John D. Benson United States
Luciano Morasca Italy
P. Thavasu relative to Ya‐Ting Hsu Taiwan Ya‐Ting Hsu's profile →
Citations per field
00.5×2×3×4×4.5×
Ya‐Ting Hsu · 1×
Citations per year

Countries citing papers authored by P. Thavasu

Since Specialization
Citations

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

Fields of papers citing papers by P. Thavasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2001203
2 1992201
3 1993166
4 200432
5 199424
6 201424
7 201517
8 201214
9 19957
10 20181

About P. Thavasu

P. Thavasu is a scholar working on Immunology, Molecular Biology, Physiology, Dermatology and Hematology, having authored 10 papers that have together received 689 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Immunotoxicology and immune responses (2 papers), Signaling Pathways in Disease (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Clinical Laboratory Practices and Quality Control (1 paper), Cancer therapeutics and mechanisms (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Hematology (124 citations), Biological Psychiatry (10 citations), Physiology (77 citations), Immunology (59 citations) and Oncology (67 citations). P. Thavasu has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Frances R. Balkwill, Trivadi Sundaram Ganesan, Adrian L. Harris, DC Talbot, Jim Carmichael, P. A. Philip, Helaine R. H. Rockett, George R. Pettit, Nicholas S. A. Stuart and DAVID J. PROPPER. Their work appears in journals such as Annals of Oncology, British Journal of Cancer, Lung Cancer, Journal of Clinical Oncology and Hematological Oncology.

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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