Silke Roedder
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
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- Computational Drug Discovery Methods
Papers in
-
- Renal Transplantation Outcomes and Treatments 9
- Surgery 6
- Organ Transplantation Techniques and Outcomes 4
- Transplantation: Methods and Outcomes 3
- Co-authors
- Minnie Sarwal (14 shared papers)Atul J. Butte (2 shared papers)Pankaj J. Pasricha (1 shared paper)Marina Sirota (1 shared paper)Reetesh K. Pai (1 shared paper)Annie Chiang (1 shared paper)Alex A. Morgan (1 shared paper)Mohan Shenoy (1 shared paper)
- Journals
- PLoS ONE (3 papers)American Journal of Transplantation (2 papers)Transplantation (2 papers)Inflammatory Bowel Diseases (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- United StatesSpainBelgium
In The Last Decade
Silke Roedder
17 papers receiving 1.1k citations
Silke Roedder's Hit Papers
Peers
Comparison fields: 5 of 96
- Transplantation 374
- Computational Theory and Mathematics 174
- Surgery 270
- Biological Psychiatry 13
- Nephrology 36
Countries citing papers authored by Silke Roedder
This map shows the geographic impact of Silke Roedder'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 Silke Roedder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Roedder more than expected).
Fields of papers citing papers by Silke Roedder
This network shows the impact of papers produced by Silke Roedder. 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 Silke Roedder. The network helps show where Silke Roedder may publish in the future.
Co-authors
The 25 scholars most cited alongside Silke Roedder, 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 | Computational Repositioning of the Anticonvulsant Topiramate for Inflammatory Bowel Disease Hit paper breakdown → | 2011 | 443 |
| 2 | 2013 | 170 | |
| 3 | 2014 | 143 | |
| 4 | 2011 | 65 | |
| 5 | 2013 | 58 | |
| 6 | 2016 | 38 | |
| 7 | 2014 | 34 | |
| 8 | 2020 | 31 | |
| 9 | 2015 | 29 | |
| 10 | 2016 | 27 | |
| 11 | 2013 | 24 | |
| 12 | 2013 | 15 | |
| 13 | 2012 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2016 | 2 | |
| 16 | LineageProfiler: A Novel Informatics Tool for Unraveling Transplant Injury | 2013 | 1 |
| 17 | 2023 | 1 |
About Silke Roedder
Silke Roedder is a scholar working on Transplantation, Surgery, Genetics, Virology and Oncology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (9 papers), Organ Transplantation Techniques and Outcomes (4 papers), Transplantation: Methods and Outcomes (3 papers), Adolescent and Pediatric Healthcare (2 papers), HIV Research and Treatment (2 papers), Inflammatory Bowel Disease (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Transplantation (374 citations), Computational Theory and Mathematics (174 citations), Surgery (270 citations), Biological Psychiatry (13 citations) and Nephrology (36 citations). Silke Roedder has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Minnie Sarwal, Atul J. Butte, Pankaj J. Pasricha, Marina Sirota, Reetesh K. Pai, Annie Chiang, Alex A. Morgan, Mohan Shenoy, Joel T. Dudley and Purvesh Khatri. Their work appears in journals such as PLoS ONE, American Journal of Transplantation, Transplantation, Inflammatory Bowel Diseases and Bone Marrow Transplantation.
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.