Robert T. Manguso
- Oncology top 2%
- Immunology top 2%
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- W. Nicholas HainingNatalie B. CollinsVikram R. JunejaArlene H. SharpeMartin W. LaFleurGordon J. FreemanKathleen A. McGuireKathleen B. Yates
- Topics
- CAR-T cell therapy research (7 papers)CRISPR and Genetic Engineering (4 papers)Cancer Immunotherapy and Biomarkers (3 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Robert T. Manguso
17 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Oncology 1.0k
- Immunology 949
- Molecular Biology 891
- Genetics 234
- Cancer Research 203
Countries citing papers authored by Robert T. Manguso
This map shows the geographic impact of Robert T. Manguso'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 T. Manguso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Manguso more than expected).
Fields of papers citing papers by Robert T. Manguso
This network shows the impact of papers produced by Robert T. Manguso. 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 T. Manguso. The network helps show where Robert T. Manguso may publish in the future.
Co-authorship network of co-authors of Robert T. Manguso
This figure shows the co-authorship network connecting the top 25 collaborators of Robert T. Manguso. A scholar is included among the top collaborators of Robert T. Manguso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert T. Manguso. Robert T. Manguso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuitsbreakdown → | 18 |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 38 | |
| 7 | 47 | |
| 8 | 4 | |
| 9 | 51 | |
| 10 | 73 | |
| 11 | 58 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy targetbreakdown → | 774 |
| 15 | PD-L1 on tumor cells is sufficient for immune evasion in immunogenic tumors and inhibits CD8 T cell cytotoxicitybreakdown → | 612 |
| 16 | 74 | |
| 17 | 93 | |
| 18 | 1 | |
| 19 | 45 |
About Robert T. Manguso
Robert T. Manguso is a scholar working on Immunology, Oncology and Genetics, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), CRISPR and Genetic Engineering (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology (949 citations), Oncology (1.0k citations) and Cancer Research (203 citations). Robert T. Manguso has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include W. Nicholas Haining, Natalie B. Collins, Vikram R. Juneja, Arlene H. Sharpe, Martin W. LaFleur, Gordon J. Freeman, Kathleen A. McGuire, Kathleen B. Yates, David E. Root and John G. Doench. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.