Andrew G. Soerens
- Immunology top 5%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- Immune cells in cancer 2
- Immune responses and vaccinations 2
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 2
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine 2
- Biomaterials top 5%
- Co-authors
- David MasopustJames A. ThomsonTimothy J. KampSean P. PalecekJianhua ZhangGisela F. WilsonJunying YuChad H. Koonce
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Andrew G. Soerens
14 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 633
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 341
- Surgery 776
- Biomaterials 223
Countries citing papers authored by Andrew G. Soerens
This map shows the geographic impact of Andrew G. Soerens'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 Andrew G. Soerens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew G. Soerens more than expected).
Fields of papers citing papers by Andrew G. Soerens
This network shows the impact of papers produced by Andrew G. Soerens. 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 Andrew G. Soerens. The network helps show where Andrew G. Soerens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew G. Soerens, 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 | 2025 | 0 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 14 | |
| 5 | Functional T cells are capable of supernumerary cell division and longevitybreakdown → | 2023 | 111 |
| 6 | 2022 | 45 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 102 | |
| 9 | 2020 | 92 | |
| 10 | Tissue-Resident T Cells and Other Resident Leukocytesbreakdown → | 2019 | 430 |
| 11 | 2017 | 5 | |
| 12 | 2016 | 39 | |
| 13 | 2012 | 336 | |
| 14 | 2009 | 171 | |
| 15 | Functional Cardiomyocytes Derived From Human Induced Pluripotent Stem Cellsbreakdown → | 2009 | 1022 |
About Andrew G. Soerens
Andrew G. Soerens is a scholar working on Immunology, Infectious Diseases and Molecular Biology, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Immune cells in cancer (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Immunology (633 citations), Molecular Biology (1.4k citations) and Cellular and Molecular Neuroscience (341 citations). Andrew G. Soerens has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include David Masopust, James A. Thomson, Timothy J. Kamp, Sean P. Palecek, Jianhua Zhang, Gisela F. Wilson, Junying Yu, Chad H. Koonce, Gary E. Lyons and Matthew Klos. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Immunity.
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.