Christopher Illies
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Cellular transport and secretion 6
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Per‐Olof Berggren (8 shared papers)Christopher J. Barker (7 shared papers)Jesper Gromada (2 shared papers)Roberta Fiume (2 shared papers)Jia Yu (2 shared papers)John R. Falck (1 shared paper)Shao-Nian Yang (1 shared paper)Adolfo Saiardi (1 shared paper)
- Journals
- Cellular Signalling (2 papers)Cancer Immunology Immunotherapy (1 paper)ACS Applied Bio Materials (1 paper)PLoS ONE (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Christopher Illies
17 papers receiving 538 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 140
- Physiology 25
- Genetics 39
- Surgery 140
- Immunology 70
Countries citing papers authored by Christopher Illies
This map shows the geographic impact of Christopher Illies'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 Christopher Illies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Illies more than expected).
Fields of papers citing papers by Christopher Illies
This network shows the impact of papers produced by Christopher Illies. 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 Christopher Illies. The network helps show where Christopher Illies may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Illies, 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 | 2007 | 160 | |
| 2 | 2016 | 77 | |
| 3 | 2009 | 76 | |
| 4 | 2018 | 42 | |
| 5 | 2016 | 39 | |
| 6 | 2014 | 37 | |
| 7 | 2018 | 21 | |
| 8 | 2020 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2017 | 12 | |
| 11 | 2010 | 11 | |
| 12 | 2009 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2010 | 5 | |
| 17 | 2022 | 4 | |
| 18 | in vivo Lokalisation der humanen Phosphatidylinositol 3,4,5-Trisphosphat bindenden Proteine Centaurin alpha 1 und 2 | 2004 | 0 |
About Christopher Illies
Christopher Illies is a scholar working on Molecular Biology, Cell Biology, Surgery, Biomedical Engineering and Oncology, having authored 18 papers that have together received 542 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (4 papers), Bone Tissue Engineering Materials (3 papers), Dental Implant Techniques and Outcomes (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cell Biology (140 citations), Physiology (25 citations), Genetics (39 citations), Surgery (140 citations) and Immunology (70 citations). Christopher Illies has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Per‐Olof Berggren, Christopher J. Barker, Jesper Gromada, Roberta Fiume, Jia Yu, John R. Falck, Shao-Nian Yang, Adolfo Saiardi, Barbara Leibiger and Kirstine Juhl. Their work appears in journals such as Cellular Signalling, Cancer Immunology Immunotherapy, ACS Applied Bio Materials, PLoS ONE and Cellular and Molecular Life Sciences.
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.