Can Ergen
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Phagocytosis and Immune Regulation
Papers in
-
- Single-cell and spatial transcriptomics 6
-
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Co-authors
- Frank Tacke (10 shared papers)Felix Heymann (8 shared papers)Christian Trautwein (9 shared papers)Tom Luedde (4 shared papers)Patricia M. Niemietz (5 shared papers)Julia Peusquens (3 shared papers)Christian Martin (3 shared papers)Marlene Kohlhepp (3 shared papers)
- Journals
- Nature Methods (2 papers)Biomaterials (2 papers)Hepatology (2 papers)Journal of Visualized Experiments (2 papers)Nature Genetics (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Can Ergen
17 papers receiving 1.1k citations
Can Ergen's Hit Papers
Peers
Comparison fields: 5 of 91
- Hepatology 327
- Immunology 540
- Pharmacology 94
- Epidemiology 297
- Oncology 227
Countries citing papers authored by Can Ergen
This map shows the geographic impact of Can Ergen'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 Can Ergen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Ergen more than expected).
Fields of papers citing papers by Can Ergen
This network shows the impact of papers produced by Can Ergen. 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 Can Ergen. The network helps show where Can Ergen may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Ergen, 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 | 2015 | 304 | |
| 2 | Chemokine (C‐C motif) receptor 2–positive monocytes aggravate the early phase of acetaminophen‐induced acute liver injury Hit paper breakdown → | 2016 | 262 |
| 3 | 2015 | 191 | |
| 4 | 2022 | 118 | |
| 5 | 2018 | 86 | |
| 6 | 2016 | 65 | |
| 7 | 2023 | 28 | |
| 8 | 2015 | 25 | |
| 9 | 2019 | 20 | |
| 10 | 2023 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2025 | 0 |
About Can Ergen
Can Ergen is a scholar working on Molecular Biology, Immunology, Biophysics, Hepatology and Cancer Research, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Immune cells in cancer (5 papers), Cell Image Analysis Techniques (4 papers), Immune Cell Function and Interaction (4 papers), Cancer Genomics and Diagnostics (3 papers), Liver Disease and Transplantation (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (327 citations), Immunology (540 citations), Pharmacology (94 citations), Epidemiology (297 citations) and Oncology (227 citations). Can Ergen has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Frank Tacke, Felix Heymann, Christian Trautwein, Tom Luedde, Patricia M. Niemietz, Julia Peusquens, Christian Martin, Marlene Kohlhepp, Oliver Krenkel and Anke Liepelt. Their work appears in journals such as Nature Methods, Biomaterials, Hepatology, Journal of Visualized Experiments and Nature Genetics.
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.