Robert Moot

769 citations
12 papers · 589 · 1 hit paper · h-index 9

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 1
    • Hemophilia Treatment and Research 3

Robert Moot

12 papers receiving 567 citations

Robert Moot's Hit Papers

Non-viral precision T cell receptor replacement for personalized cell therapy 2022 · 214 citations
2140+1+2Years since publication50100150200

Peers

Robert Moot
Comparison fields: 5 of 42
  • Oncology 318
  • Immunology 155
  • Hematology 85
  • Genetics 16
  • Molecular Biology 97
Replace Antonio Valeri with:
Antonio Valeri Spain
Namiko Okuyama Japan
Anniek B. van der Waart Netherlands
Mara Valentini Italy
Trisha R. Berger United States
Marte Fauskanger Norway
Alexander Jares United States
Virna Marin Italy
Brandon C. Ballard United States
Beatrice Claudia Cianciotti Italy
Robert Moot relative to Antonio Valeri Spain Antonio Valeri's profile →
Citations per field
00.5×1.5×2×2.3×
Antonio Valeri · 1×
Citations per year

Countries citing papers authored by Robert Moot

Since Specialization
Citations

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

Fields of papers citing papers by Robert Moot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Robert Moot, 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 Robert Moot Line = papers co-authored together Robert Moot links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Non-viral precision T cell receptor replacement for personalized cell therapy
Hit paper breakdown →
2022214
2 2023128
3 201774
4 201155
5 201039
6 201630
7 201418
8 201410
9 201710
10 20155
11 20104
12 20152

About Robert Moot

Robert Moot is a scholar working on Oncology, Hematology, Genetics, Biomedical Engineering and Nuclear Energy and Engineering, having authored 12 papers that have together received 589 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Hemophilia Treatment and Research (3 papers), Virus-based gene therapy research (2 papers), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Oncology (318 citations), Immunology (155 citations), Hematology (85 citations), Genetics (16 citations) and Molecular Biology (97 citations). Robert Moot has collaborated with scholars based in United States. Frequent co-authors include Harold Trent Spencer, Christopher B. Doering, Sunil S. Raikar, Andrew Fedanov, Evan Joseph Colletti, Christopher D. Porada, Chad D. Sanada, Graça D. Almeida-Porada, Neal N. Iwakoshi and Shawn M. Jobe. Their work appears in journals such as Blood, Nature, Gene Therapy, OncoImmunology and Experimental Hematology.

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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