Philipp Kirchner
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Caveolin-1 and cellular processes
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
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- Single-cell and spatial transcriptomics 2
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- T-cell and B-cell Immunology 2
- interferon and immune responses 2
- Co-authors
- Hemmo Meyer (3 shared papers)Monika Bug (3 shared papers)Antonio Díaz (2 shared papers)Ana María Cuervo (2 shared papers)Mathieu Bourdenx (1 shared paper)Julio Madrigal‐Matute (1 shared paper)Boris Bartholdy (1 shared paper)Britta Will (1 shared paper)
- Journals
- Endocrine Pathology (2 papers)Cell Reports (1 paper)Human Genetics (1 paper)npj Precision Oncology (1 paper)mBio (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Philipp Kirchner
24 papers receiving 868 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 335
- Physiology 55
- Epidemiology 346
- Neurology 87
- Molecular Biology 383
Countries citing papers authored by Philipp Kirchner
This map shows the geographic impact of Philipp Kirchner'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 Philipp Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Kirchner more than expected).
Fields of papers citing papers by Philipp Kirchner
This network shows the impact of papers produced by Philipp Kirchner. 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 Philipp Kirchner. The network helps show where Philipp Kirchner may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Kirchner, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 262 | |
| 2 | 2011 | 187 | |
| 3 | 2019 | 177 | |
| 4 | 2020 | 66 | |
| 5 | 2013 | 49 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 1971 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2021 | 3 |
About Philipp Kirchner
Philipp Kirchner is a scholar working on Molecular Biology, Immunology, Epidemiology, Cell Biology and Oncology, having authored 27 papers that have together received 873 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Autophagy in Disease and Therapy (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Cellular transport and secretion (2 papers), Single-cell and spatial transcriptomics (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cell Biology (335 citations), Physiology (55 citations), Epidemiology (346 citations), Neurology (87 citations) and Molecular Biology (383 citations). Philipp Kirchner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hemmo Meyer, Monika Bug, Antonio Díaz, Ana María Cuervo, Mathieu Bourdenx, Julio Madrigal‐Matute, Boris Bartholdy, Britta Will, Michael Ehrmann and Nina Schulze. Their work appears in journals such as Endocrine Pathology, Cell Reports, Human Genetics, npj Precision Oncology and mBio.
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.