Cornelia Kurschner
Impact in
- Neurology top 5%
- Neurological diseases and metabolism
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
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- Bioinformatics and Genomic Networks 2
- Cell death mechanisms and regulation 2
- Prion Diseases and Protein Misfolding 2
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
- Co-authors
- James P. Morgan (6 shared papers)Dennis S. Rice (2 shared papers)Russell Bell (3 shared papers)Sudhir Sahasrabudhe (3 shared papers)Weikang Tao (2 shared papers)Creg J. Workman (1 shared paper)Dario A.A. Vignali (1 shared paper)Kari J. Dugger (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Molecular and Cellular Neuroscience (2 papers)Nature Methods (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Cornelia Kurschner
18 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Neurology 141
- Immunology 354
- Molecular Biology 1.0k
- Cell Biology 135
- Oncology 209
Countries citing papers authored by Cornelia Kurschner
This map shows the geographic impact of Cornelia Kurschner'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 Cornelia Kurschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cornelia Kurschner more than expected).
Fields of papers citing papers by Cornelia Kurschner
This network shows the impact of papers produced by Cornelia Kurschner. 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 Cornelia Kurschner. The network helps show where Cornelia Kurschner may publish in the future.
Co-authors
The 25 scholars most cited alongside Cornelia Kurschner, 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 | 2005 | 384 | |
| 2 | 2002 | 187 | |
| 3 | 2010 | 157 | |
| 4 | 1995 | 126 | |
| 5 | 1997 | 97 | |
| 6 | 1998 | 95 | |
| 7 | 1996 | 86 | |
| 8 | 1998 | 79 | |
| 9 | 1999 | 71 | |
| 10 | 1995 | 68 | |
| 11 | 2001 | 53 | |
| 12 | 1992 | 33 | |
| 13 | 1992 | 28 | |
| 14 | 1997 | 23 | |
| 15 | 1998 | 15 | |
| 16 | 2007 | 12 | |
| 17 | 2004 | 10 | |
| 18 | 2002 | 8 |
About Cornelia Kurschner
Cornelia Kurschner is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Oncology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Whipple's Disease and Interleukins (2 papers), Bioinformatics and Genomic Networks (2 papers), Cell death mechanisms and regulation (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Neurology (141 citations), Immunology (354 citations), Molecular Biology (1.0k citations), Cell Biology (135 citations) and Oncology (209 citations). Cornelia Kurschner has collaborated with scholars based in United States and Switzerland. Frequent co-authors include James P. Morgan, Dennis S. Rice, Russell Bell, Sudhir Sahasrabudhe, Weikang Tao, Creg J. Workman, Dario A.A. Vignali, Kari J. Dugger, Michisuke Yuzaki and Irene M. Ota. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Molecular and Cellular Neuroscience, Nature Methods and The Journal of 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.