Lars Philipsen
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Immunology 19
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 8
- IL-33, ST2, and ILC Pathways 3
- Oncology 6
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Bernd Bonnekoh (5 shared papers)Ansgar J. Pommer (5 shared papers)Harald Gollnick (5 shared papers)Raik Böckelmann (5 shared papers)Yanina N. Malykh (2 shared papers)Walter Schubert (3 shared papers)Manuela Friedenberger (3 shared papers)Marcus Bode (2 shared papers)
In The Last Decade
Lars Philipsen
32 papers receiving 936 citations
Peers
Comparison fields: 5 of 98
- Biophysics 188
- Immunology 318
- Immunology and Allergy 37
- Molecular Biology 448
- Oncology 124
Countries citing papers authored by Lars Philipsen
This map shows the geographic impact of Lars Philipsen'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 Lars Philipsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Philipsen more than expected).
Fields of papers citing papers by Lars Philipsen
This network shows the impact of papers produced by Lars Philipsen. 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 Lars Philipsen. The network helps show where Lars Philipsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Philipsen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 358 | |
| 2 | 2013 | 65 | |
| 3 | 2017 | 53 | |
| 4 | 2017 | 49 | |
| 5 | 2018 | 48 | |
| 6 | 2007 | 37 | |
| 7 | 2020 | 33 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2007 | 23 | |
| 13 | 2020 | 23 | |
| 14 | 2012 | 21 | |
| 15 | 2008 | 20 | |
| 16 | 2010 | 18 | |
| 17 | 2013 | 17 | |
| 18 | 2006 | 16 | |
| 19 | 2017 | 12 | |
| 20 | 2023 | 10 |
About Lars Philipsen
Lars Philipsen is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 32 papers that have together received 958 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Heat shock proteins research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Biophysics (188 citations), Immunology (318 citations), Immunology and Allergy (37 citations), Molecular Biology (448 citations) and Oncology (124 citations). Lars Philipsen has collaborated with scholars based in Germany, China and France. Frequent co-authors include Bernd Bonnekoh, Ansgar J. Pommer, Harald Gollnick, Raik Böckelmann, Yanina N. Malykh, Walter Schubert, Manuela Friedenberger, Marcus Bode, Andreas Dress and Burkhart Schraven. Their work appears in journals such as Science Signaling, Skin Pharmacology and Physiology, European Journal of Immunology, JDDG Journal der Deutschen Dermatologischen Gesellschaft and Scientific Reports.
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.