Ruby C. Wasti

2.3k citations
4 papers · 1.6k · 1 hit paper · h-index 4

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Biochemical Acid Research Studies 1
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 1

Ruby C. Wasti

4 papers receiving 1.6k citations

Ruby C. Wasti's Hit Papers

Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment 2018 · 1.5k citations
1.5k0+2+5Years since publication4008001.2k

Peers

Ruby C. Wasti
Comparison fields: 5 of 74
  • Immunology 749
  • Oncology 647
  • Cancer Research 274
  • Molecular Biology 739
  • Biophysics 44
Replace Phuong H. Dao with:
Phuong H. Dao United States
Tobias Anzeneder Germany
Ilaria Magagna France
Bokang Rabasha United States
Alborz Bejnood United States
Pasquale Laise United States
Juliana B. Candido United Kingdom
Kathryn L. Harper United States
Woosung Chung South Korea
Hanne Vos Belgium
Ruby C. Wasti relative to Phuong H. Dao United States Phuong H. Dao's profile →
Citations per field
00.5×1.5×
Phuong H. Dao · 1×
Citations per year

Countries citing papers authored by Ruby C. Wasti

Since Specialization
Citations

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

Fields of papers citing papers by Ruby C. Wasti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby C. Wasti. 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 Ruby C. Wasti. The network helps show where Ruby C. Wasti may publish in the future.

Co-authors

The 24 scholars most cited alongside Ruby C. Wasti, 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 Ruby C. Wasti Line = papers co-authored together Ruby C. Wasti links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Hit paper breakdown →
20181494
2 200751
3
The oxidase activity of vascular adhesion protein-1 (VAP-1) is essential for function.
201324
4 202411

About Ruby C. Wasti

Ruby C. Wasti is a scholar working on Biochemistry, Genetics, Molecular Biology, Immunology and Insect Science, having authored 4 papers that have together received 1.6k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (1 paper), Microbial metabolism and enzyme function (1 paper), Biochemical Acid Research Studies (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Immune cells in cancer (1 paper), Melanoma and MAPK Pathways (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (749 citations), Oncology (647 citations), Cancer Research (274 citations), Molecular Biology (739 citations) and Biophysics (44 citations). Ruby C. Wasti has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Dana Pe’er, Linas Mažutis, Vaidotas Kiseliovas, Juozas Nainys, Krishna Kadaveru, Sandhya Prabhakaran, Elham Azizi, George Plitas, Ambrose Carr and Manu N. Setty. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cell, Cancer Research Communications and PubMed.

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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