Tanya J. Shaw

4.0k citations
62 papers · 3.0k indexed · 2 hit papers · h-index 25

Tanya J. Shaw

60 papers receiving 3.0k citations

Hit Papers

Spatial and Single-Cell Transcriptional ...2922009202620142020100200300400500

Peers

Tanya J. Shaw
Comparison fields: 5 of 145
  • Rehabilitation 710
  • Dermatology 292
  • Reproductive Medicine 252
  • Cell Biology 386
  • Urology 137
Replace Kiarash Khosrotehrani with:
Kiarash Khosrotehrani Australia
Ingo Haase Germany
Darrell Pilling United States
Edel A. O’Toole United Kingdom
Cinzia Marchese Italy
Akira Takeda Japan
Frank Arnold United States
Steven E. Mutsaers Australia
Alberto Giannetti Italy
Monica Napolitano Italy
Tanya J. Shaw relative to Kiarash Khosrotehrani Australia Kiarash Khosrotehrani's profile →
Citations per field
00.5×4.8×
Kiarash Khosrotehrani · 1×
Citations per year

Countries citing papers authored by Tanya J. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Tanya J. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanya J. Shaw. 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 Tanya J. Shaw. The network helps show where Tanya J. Shaw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20241
4 20244
5 202426
6 20232
7 202314
8 20238
9 202137
10 202115
11 202025
12 202061
13 20184
14
Spatial and Single-Cell Transcriptional Profiling Identifies Functionally Distinct Human Dermal Fibroblast Subpopulationsbreakdown →
2018292
15 201718
16 2016174
17 200846
18 200748
19 200553
20 198823

About Tanya J. Shaw

Tanya J. Shaw is a scholar working on Rehabilitation, Dermatology and Hematology, having authored 62 papers that have together received 3.0k indexed citations. Recurring topics across this work include Wound Healing and Treatments (14 papers), Dermatologic Treatments and Research (10 papers), Cellular Mechanics and Interactions (6 papers), Skin Protection and Aging (4 papers), Platelet Disorders and Treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Skin and Cellular Biology Research (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Rehabilitation (710 citations), Dermatology (292 citations) and Reproductive Medicine (252 citations). Tanya J. Shaw has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Paul Martin, Barbara C. Vanderhyden, Ryoichi Mori, Mary K. Senterman, D. G. Penington, J.C.P. Heggie, Jean-François Éthier, Kerri Dawson, Colleen Crane and Mark Soldin. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical 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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