Adva Kubi

1.6k citations
13 papers · 1.2k · h-index 13

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 9
    • Peptidase Inhibition and Analysis 2
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2

Adva Kubi

13 papers receiving 1.2k citations

Peers

Adva Kubi
Comparison fields: 5 of 45
  • Oncology 970
  • Immunology 638
  • Genetics 215
  • Immunology and Allergy 27
  • Cancer Research 62
Replace Lynsey M. Whilding with:
Lynsey M. Whilding United Kingdom
Sylvia M. Lee United States
Thomas E. Shelton United States
Robert T. Manguso United States
Katrin Töpfer Germany
Orit Itzhaki Israel
Noor Momin United States
Laurent Boissel United States
Kathy Mulgrew United States
Adva Kubi relative to Lynsey M. Whilding United Kingdom Lynsey M. Whilding's profile →
Citations per field
00.5×1.6×
Lynsey M. Whilding · 1×
Citations per year

Countries citing papers authored by Adva Kubi

Since Specialization
Citations

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

Fields of papers citing papers by Adva Kubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2010357
2 2013298
3 2011126
4 200997
5 201892
6 200953
7 201348
8 202039
9 201339
10 202226
11 202023
12 201513
13 200912

About Adva Kubi

Adva Kubi is a scholar working on Oncology, Immunology, Immunology and Allergy, Molecular Biology and Electrical and Electronic Engineering, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (2 papers), Peptidase Inhibition and Analysis (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Silicon Carbide Semiconductor Technologies (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Oncology (970 citations), Immunology (638 citations), Genetics (215 citations), Immunology and Allergy (27 citations) and Cancer Research (62 citations). Adva Kubi has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Michal J. Besser, Orit Itzhaki, Jacob Schachter, Gal Markel, Ronnie Shapira‐Frommer, Avraham J. Treves, Bruria Shalmon, Arnon Nagler, Daphna Levy and Avichai Shimoni. Their work appears in journals such as Clinical Cancer Research, Journal of Immunotherapy, Journal for ImmunoTherapy of Cancer, Frontiers in Oncology and Molecular Carcinogenesis.

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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