Silke Roedder

1.5k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Renal Transplantation Outcomes and Treatments (12 papers)Organ Transplantation Techniques and Outcomes (8 papers)Transplantation: Methods and Outcomes (5 papers)

In The Last Decade

Silke Roedder

17 papers receiving 1.1k citations

Hit Papers

Computational Repositioning of the Anticonvulsant Topiram...20112026201620212011100200300400

Peers

Silke Roedder
Comparison fields: 5 of 98
  • Transplantation 408
  • Molecular Biology 403
  • Surgery 341
  • Computational Theory and Mathematics 196
  • Epidemiology 143
Replace Julia M. Barbarino with:
Julia M. Barbarino United States
Alan M. Hochberg United States
Olivier Grenet Switzerland
Hartmut Dietrich Germany
Nathalie Gérard France
Guiwen Feng China
Xinyue Wang China
Ronald Goldwater United States
William J. Jusko United States
Christian M. Shaffer United States
Silke Roedder relative to Julia M. Barbarino United States Julia M. Barbarino's profile →
Citations per field
00.5×6.9×
Julia M. Barbarino · 1×
Citations per year

Countries citing papers authored by Silke Roedder

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Silke Roedder

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Roedder. A scholar is included among the top collaborators of Silke Roedder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silke Roedder. Silke Roedder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 29
3 10
4 27
5 38
6 2
7 29
8 34
9 140
10
LineageProfiler: A Novel Informatics Tool for Unraveling Transplant Injury
1
11 24
12 15
13 58
14 167
15 10
16 65
17
Computational Repositioning of the Anticonvulsant Topiramate for Inflammatory Bowel Diseasebreakdown →
440

About Silke Roedder

Silke Roedder is a scholar working on Transplantation, Health Informatics and Virology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (12 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Transplantation: Methods and Outcomes (5 papers). The work is most often cited by research in Transplantation (408 citations), Computational Theory and Mathematics (196 citations) and Surgery (341 citations). Silke Roedder has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Minnie Sarwal, Atul J. Butte, Mohan Shenoy, Pankaj J. Pasricha, Reetesh K. Pai, Annie Chiang, Alex A. Morgan, Joel T. Dudley, Marina Sirota and Purvesh Khatri. Their work appears in journals such as The Journal of Experimental Medicine, PLoS ONE and Journal of the American Society of Nephrology.

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.

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