Shane Lofgren
Impact in
- Immunology top 5%
- Phagocytosis and Immune Regulation
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
- Oncology top 10%
- CAR-T cell therapy research
Papers in
- Oncology 5
- CAR-T cell therapy research 2
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- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 2
- Genomics and Chromatin Dynamics 2
- Single-cell and spatial transcriptomics 2
- Gene expression and cancer classification 2
- RNA modifications and cancer 2
- Co-authors
- Purvesh Khatri (7 shared papers)Francesco Vallania (3 shared papers)Winston A. Haynes (3 shared papers)Mark M. Davis (2 shared papers)Charles Yu Liu (2 shared papers)Andrew Tam (2 shared papers)Erika Bongen (2 shared papers)Aurelie Tomczak (2 shared papers)
- Journals
- Cell (2 papers)Arthritis Research & Therapy (1 paper)Nature Medicine (1 paper)Tsinghua Science & Technology (1 paper)Neurology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Shane Lofgren
16 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Immunology 527
- Oncology 474
- Molecular Biology 938
- Cancer Research 166
- Hematology 61
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 | 2016 | 379 | |
| 2 | 2015 | 334 | |
| 3 | 2017 | 218 | |
| 4 | 2019 | 146 | |
| 5 | 2018 | 119 | |
| 6 | 2021 | 114 | |
| 7 | 2018 | 112 | |
| 8 | 2016 | 88 | |
| 9 | 2016 | 83 | |
| 10 | 2020 | 65 | |
| 11 | 2016 | 58 | |
| 12 | 2017 | 18 | |
| 13 | 2020 | 12 | |
| 14 | 2014 | 9 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 |
About Shane Lofgren
Shane Lofgren is a scholar working on Oncology, Molecular Biology, Immunology, Pathology and Forensic Medicine and Emergency Medicine, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), CAR-T cell therapy research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Cancer-related gene regulation (2 papers), Genomics and Chromatin Dynamics (2 papers), Single-cell and spatial transcriptomics (2 papers), Gene expression and cancer classification (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology (527 citations), Oncology (474 citations), Molecular Biology (938 citations), Cancer Research (166 citations) and Hematology (61 citations). Shane Lofgren has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Purvesh Khatri, Francesco Vallania, Winston A. Haynes, Mark M. Davis, Charles Yu Liu, Andrew Tam, Erika Bongen, Aurelie Tomczak, Timothy E. Sweeney and K. Christopher García. Their work appears in journals such as Cell, Arthritis Research & Therapy, Nature Medicine, Tsinghua Science & Technology and Neurology.
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.