Shane Lofgren
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Single-cell and spatial transcriptomics 2
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Oncology 5
- CAR-T cell therapy research 2
- Co-authors
- Purvesh Khatri (8 shared papers)Francesco Vallania (3 shared papers)Winston Haynes (3 shared papers)Mark M. Davis (2 shared papers)Aurelie Tomczak (2 shared papers)Charles Y. Liu (2 shared papers)Erika Bongen (2 shared papers)Andrew Tam (2 shared papers)
- Journals
- Alzheimer s & Dementia (1 paper)Scientific Reports (1 paper)Nature Biomedical Engineering (1 paper)Genes & Development (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Shane Lofgren
12 papers receiving 687 citations
Peers
Comparison fields: 5 of 99
- Immunology 233
- Oncology 162
- Molecular Biology 377
- Cancer Research 60
- Renewable Energy, Sustainability and the Environment 60
Countries citing papers authored by Shane Lofgren
This map shows the geographic impact of Shane Lofgren'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 Shane Lofgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Lofgren more than expected).
Fields of papers citing papers by Shane Lofgren
This network shows the impact of papers produced by Shane Lofgren. 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 Shane Lofgren. The network helps show where Shane Lofgren may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane Lofgren, 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 | 2017 | 193 | |
| 2 | 2018 | 100 | |
| 3 | 2018 | 98 | |
| 4 | 2016 | 77 | |
| 5 | 2016 | 73 | |
| 6 | 2016 | 64 | |
| 7 | 2016 | 50 | |
| 8 | 2017 | 17 | |
| 9 | 2020 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Shane Lofgren
Shane Lofgren is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 693 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Systemic Sclerosis and Related Diseases (2 papers), CAR-T cell therapy research (2 papers), Epigenetics and DNA Methylation (2 papers), Gene expression and cancer classification (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Dermatologic Treatments and Research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Immunology (233 citations), Oncology (162 citations), Molecular Biology (377 citations), Cancer Research (60 citations) and Renewable Energy, Sustainability and the Environment (60 citations). Shane Lofgren has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Purvesh Khatri, Francesco Vallania, Winston Haynes, Mark M. Davis, Aurelie Tomczak, Charles Y. Liu, Erika Bongen, Andrew Tam, Timothy E. Sweeney and Michael E. Birnbaum. Their work appears in journals such as Alzheimer s & Dementia, Scientific Reports, Nature Biomedical Engineering, Genes & Development and Nature Communications.
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.