Robert V. Bruggner
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
-
- Single-cell and spatial transcriptomics 7
- Gene expression and cancer classification 3
- Insect Resistance and Genetics 2
-
- Cell Image Analysis Techniques 6
- Co-authors
- Garry P. Nolan (10 shared papers)Sean C. Bendall (5 shared papers)Erin F. Simonds (6 shared papers)Karen Sachs (4 shared papers)Sylvia K. Plevritis (3 shared papers)Rachel Finck (3 shared papers)Peter O. Krutzik (2 shared papers)Angelica Trejo (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nature Biotechnology (2 papers)Blood (1 paper)Infection Genetics and Evolution (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Robert V. Bruggner
15 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Biophysics 733
- Immunology 1.1k
- Molecular Biology 2.4k
- Hematology 208
- Cancer Research 244
Countries citing papers authored by Robert V. Bruggner
This map shows the geographic impact of Robert V. Bruggner'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 V. Bruggner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert V. Bruggner more than expected).
Fields of papers citing papers by Robert V. Bruggner
This network shows the impact of papers produced by Robert V. Bruggner. 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 V. Bruggner. The network helps show where Robert V. Bruggner may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert V. Bruggner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum Hit paper breakdown → | 2011 | 1700 |
| 2 | Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE Hit paper breakdown → | 2011 | 680 |
| 3 | 2012 | 394 | |
| 4 | 2014 | 298 | |
| 5 | 2014 | 246 | |
| 6 | 2007 | 94 | |
| 7 | 2012 | 31 | |
| 8 | 2008 | 15 | |
| 9 | 2008 | 13 | |
| 10 | 2010 | 13 | |
| 11 | 2010 | 13 | |
| 12 | 2018 | 10 | |
| 13 | 2012 | 8 | |
| 14 | 2022 | 2 | |
| 15 | 2016 | 1 |
About Robert V. Bruggner
Robert V. Bruggner is a scholar working on Molecular Biology, Biophysics, Immunology, Insect Science and Artificial Intelligence, having authored 15 papers that have together received 3.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (6 papers), Gene expression and cancer classification (3 papers), Insect symbiosis and bacterial influences (2 papers), Insect Resistance and Genetics (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Insect Utilization and Effects (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Biophysics (733 citations), Immunology (1.1k citations), Molecular Biology (2.4k citations), Hematology (208 citations) and Cancer Research (244 citations). Robert V. Bruggner has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Garry P. Nolan, Sean C. Bendall, Erin F. Simonds, Karen Sachs, Sylvia K. Plevritis, Rachel Finck, Peter O. Krutzik, Angelica Trejo, Rachel Melamed and Dana Pe’er. Their work appears in journals such as Bioinformatics, Nature Biotechnology, Blood, Infection Genetics and Evolution and The Journal of Immunology.
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.