Patrick Neuhöfer
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Aging top 10%
Papers in
-
- Single-cell and spatial transcriptomics 7
- Surgery 4
- Pancreatitis Pathology and Treatment 4
- Co-authors
- Hana Algül (5 shared papers)Marina Lesina (5 shared papers)Liang Song (3 shared papers)Steven E. Artandi (4 shared papers)Sonja M. Wörmann (3 shared papers)Matthias Treiber (4 shared papers)Roland Michael Schmid (4 shared papers)Chen Lu (2 shared papers)
- Journals
- Nature (5 papers)Gastroenterology (3 papers)Nature Communications (2 papers)Journal of Clinical Investigation (1 paper)Seminars in Immunology (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Patrick Neuhöfer
17 papers receiving 1.6k citations
Patrick Neuhöfer's Hit Papers
Peers
Comparison fields: 5 of 84
- Hepatology 132
- Aging 18
- Molecular Biology 611
- Oncology 186
- Surgery 326
Countries citing papers authored by Patrick Neuhöfer
This map shows the geographic impact of Patrick Neuhöfer'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 Patrick Neuhöfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Neuhöfer more than expected).
Fields of papers citing papers by Patrick Neuhöfer
This network shows the impact of papers produced by Patrick Neuhöfer. 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 Patrick Neuhöfer. The network helps show where Patrick Neuhöfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Neuhöfer, 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 | The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans Hit paper breakdown → | 2022 | 738 |
| 2 | 2013 | 236 | |
| 3 | 2018 | 185 | |
| 4 | 2014 | 118 | |
| 5 | 2022 | 73 | |
| 6 | 2011 | 67 | |
| 7 | 2012 | 59 | |
| 8 | 2021 | 43 | |
| 9 | 2022 | 33 | |
| 10 | 2015 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 2024 | 10 | |
| 13 | 2025 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 |
About Patrick Neuhöfer
Patrick Neuhöfer is a scholar working on Molecular Biology, Surgery, Immunology, Oncology and Hepatology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Pancreatitis Pathology and Treatment (4 papers), Immunotherapy and Immune Responses (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Telomeres, Telomerase, and Senescence (1 paper), Liver physiology and pathology (1 paper), NF-κB Signaling Pathways (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Hepatology (132 citations), Aging (18 citations), Molecular Biology (611 citations), Oncology (186 citations) and Surgery (326 citations). Patrick Neuhöfer has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Hana Algül, Marina Lesina, Liang Song, Steven E. Artandi, Sonja M. Wörmann, Matthias Treiber, Roland Michael Schmid, Chen Lu, Alina Garbuzov and Shengda Lin. Their work appears in journals such as Nature, Gastroenterology, Nature Communications, Journal of Clinical Investigation and Seminars in Immunology.
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.