Tobias Sing
- Molecular Biology top 10%
- Virology top 1%
- Infectious Diseases top 2%
- Ecology top 5%
- Genetics top 10%
- Co-authors
- Thomas LengauerNiko BeerenwinkelOliver SanderAndrew LowP. Richard HarriganWinnie DongRolf KaiserMartin Däumer
- Topics
- HIV Research and Treatment (19 papers)HIV/AIDS drug development and treatment (17 papers)HIV/AIDS Research and Interventions (8 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Tobias Sing
29 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 1.2k
- Virology 728
- Infectious Diseases 706
- Ecology 409
- Genetics 325
Countries citing papers authored by Tobias Sing
This map shows the geographic impact of Tobias Sing'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 Tobias Sing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Sing more than expected).
Fields of papers citing papers by Tobias Sing
This network shows the impact of papers produced by Tobias Sing. 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 Tobias Sing. The network helps show where Tobias Sing may publish in the future.
Co-authorship network of co-authors of Tobias Sing
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Sing. A scholar is included among the top collaborators of Tobias Sing 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 Tobias Sing. Tobias Sing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Visualizing the Performance of Scoring Classifiers [R package ROCR version 1.0-11] | 11 |
| 2 | 38 | |
| 3 | 79 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 30 | |
| 7 | 17 | |
| 8 | 10 | |
| 9 | 72 | |
| 10 | 6 | |
| 11 | 63 | |
| 12 | 61 | |
| 13 | 23 | |
| 14 | Involvement of novel HIV-1 reverse transcriptase mutations in the highly ordered regulation of NRTI resistance | 2 |
| 15 | Additional Mutations in HIV-1 Reverse Transcriptase are Involved in the Highly Ordered Regulation of NRTI Resistance | 0 |
| 16 | 61 | |
| 17 | 45 | |
| 18 | 70 | |
| 19 | Geno2pheno[coreceptor]: a Tool for Predicting Coreceptor Usage from Genotype and for Monitoring Coreceptor-associated Sequence Alterations | 4 |
| 20 | ROCR: visualizing classifier performance in Rbreakdown → | 2469 |
About Tobias Sing
Tobias Sing is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 30 papers that have together received 3.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (19 papers), HIV/AIDS drug development and treatment (17 papers) and HIV/AIDS Research and Interventions (8 papers). The work is most often cited by research in Virology (728 citations), Ecological Modeling (179 citations) and Infectious Diseases (706 citations). Tobias Sing has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Thomas Lengauer, Niko Beerenwinkel, Oliver Sander, Andrew Low, P. Richard Harrigan, Winnie Dong, Rolf Kaiser, Martin Däumer, Peter K. Cheung and Daniel Hoffmann. Their work appears in journals such as Journal of Clinical Oncology, Nature Reviews Microbiology and Journal of Virology.
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.