Lisa E. Shaw

1.6k citations
22 papers · 863 indexed · h-index 12

Impact in

    • Dermatology and Skin Diseases
    • Dermatologic Treatments and Research
    • Cutaneous lymphoproliferative disorders research
    • Wound Healing and Treatments

Papers in

Lisa E. Shaw

22 papers receiving 858 citations

Peers

Lisa E. Shaw
Comparison fields: 5 of 96
  • Dermatology 234
  • Rehabilitation 89
  • Immunology 241
  • Molecular Medicine 35
  • Infectious Diseases 122
Replace C. Barrault with:
C. Barrault France
Matteo Piazza Italy
Jirô Arata Japan
Ge Shi China
Daniela Alotto Italy
Claudia Schöllmann Germany
Vivien Chen United States
Yoko Yahata Japan
Mieke Bergers Netherlands
Lüjun Yang China
Lisa E. Shaw relative to C. Barrault France C. Barrault's profile →
Citations per field
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C. Barrault · 1×
Citations per year

Countries citing papers authored by Lisa E. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Lisa E. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015154
2 2021145
3 2022125
4 2020102
5 201489
6 202254
7 202140
8 202334
9 202133
10 202125
11 202114
12 202411
13 20159
14 20237
15 20256
16 20245
17 20242
18 20232
19 20222
20 20212

About Lisa E. Shaw

Lisa E. Shaw is a scholar working on Dermatology, Immunology and Allergy, Immunology, Toxicology and Neurology, having authored 22 papers that have together received 863 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Cutaneous lymphoproliferative disorders research (4 papers), Single-cell and spatial transcriptomics (3 papers), Dermatology and Skin Diseases (3 papers), CAR-T cell therapy research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Dermatology (234 citations), Rehabilitation (89 citations), Immunology (241 citations), Molecular Medicine (35 citations) and Infectious Diseases (122 citations). Lisa E. Shaw has collaborated with scholars based in Austria, United States and Australia. Frequent co-authors include Wolfgang Weninger, Karin Pfisterer, Matthias Farlik, Anil Koul, Kiel Hards, Michael Berney, Jennifer Robson, Koen Andries, Gregory M. Cook and Dirk Bald. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Blood, Journal of Antimicrobial Chemotherapy, Journal of Hepatology and Nature Communications.

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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