Conner Kummerlowe
Impact in
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- Tuberculosis Research and Epidemiology
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- Immune responses and vaccinations
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
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- Single-cell and spatial transcriptomics 5
- Renal and related cancers 1
- Gene expression and cancer classification 1
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- Cell Image Analysis Techniques 1
- Co-authors
- Juan D. Matute (1 shared paper)Jinzhi Duan (1 shared paper)Róbert Langer (1 shared paper)Richard S. Blumberg (1 shared paper)José Ordovás-Montañés (1 shared paper)Norihiro Goto (1 shared paper)Jeffrey M. Karp (1 shared paper)Benjamin E. Mead (1 shared paper)
- Journals
- Immunity (1 paper)Science Translational Medicine (1 paper)Nature Biotechnology (1 paper)Nature Biomedical Engineering (1 paper)eLife (1 paper)
- Partner nations
- United StatesZambiaSouth Africa
In The Last Decade
Conner Kummerlowe
4 papers receiving 247 citations
Conner Kummerlowe's Hit Papers
Peers
Comparison fields: 5 of 51
- Infectious Diseases 133
- Immunology 85
- Epidemiology 64
- Biophysics 10
- Oncology 33
Countries citing papers authored by Conner Kummerlowe
This map shows the geographic impact of Conner Kummerlowe'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 Conner Kummerlowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conner Kummerlowe more than expected).
Fields of papers citing papers by Conner Kummerlowe
This network shows the impact of papers produced by Conner Kummerlowe. 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 Conner Kummerlowe. The network helps show where Conner Kummerlowe may publish in the future.
Co-authors
The 12 scholars most cited alongside Conner Kummerlowe, 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 | Multimodal profiling of lung granulomas in macaques reveals cellular correlates of tuberculosis control Hit paper breakdown → | 2022 | 178 |
| 2 | 2022 | 41 | |
| 3 | 2022 | 21 | |
| 4 | 2024 | 12 | |
| 5 | 2026 | 0 |
About Conner Kummerlowe
Conner Kummerlowe is a scholar working on Molecular Biology, Biophysics, Pathology and Forensic Medicine, Infectious Diseases and Immunology, having authored 5 papers that have together received 252 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Mycobacterium research and diagnosis (1 paper), Cell Image Analysis Techniques (1 paper), Renal and related cancers (1 paper), Gene expression and cancer classification (1 paper), Tuberculosis Research and Epidemiology (1 paper), Cancer Cells and Metastasis (1 paper) and Whipple's Disease and Interleukins (1 paper). The work is most often cited by research in Infectious Diseases (133 citations), Immunology (85 citations), Epidemiology (64 citations), Biophysics (10 citations) and Oncology (33 citations). Conner Kummerlowe has collaborated with scholars based in United States, Zambia and South Africa. Frequent co-authors include Juan D. Matute, Jinzhi Duan, Róbert Langer, Richard S. Blumberg, José Ordovás-Montañés, Norihiro Goto, Jeffrey M. Karp, Benjamin E. Mead, Marko Vukovic and Shinya Imada. Their work appears in journals such as Immunity, Science Translational Medicine, Nature Biotechnology, Nature Biomedical Engineering and eLife.
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.