T Gingeras
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research 16
- Molecular Biology top 0.02%
- RNA Research and Splicing 35
- RNA and protein synthesis mechanisms 31
- Genomics and Chromatin Dynamics 29
- RNA modifications and cancer 26
- Genomics and Phylogenetic Studies 16
- Gene expression and cancer classification 13
- Immunology top 0.1%
- Aging top 0.2%
- Virology top 0.5%
- HIV Research and Treatment 14
- Co-authors
- Alexander DobinJörg DrenkowCarrie DavisFelix SchlesingerPhilippe BatutChris ZaleskiSonali JhaMark Chaisson
- Journals
- Genome Research (21 papers)Nucleic Acids Research (14 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
T Gingeras
131 papers receiving 50.8k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Cancer Research 8.4k
- Molecular Biology 33.3k
- Immunology 7.7k
- Aging 623
- Virology 1.2k
Countries citing papers authored by T Gingeras
This map shows the geographic impact of T Gingeras'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 T Gingeras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Gingeras more than expected).
Fields of papers citing papers by T Gingeras
This network shows the impact of papers produced by T Gingeras. 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 T Gingeras. The network helps show where T Gingeras may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T Gingeras, 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 | 2021 | 92 | |
| 2 | 2019 | 59 | |
| 3 | 2013 | 58 | |
| 4 | 2012 | 144 | |
| 5 | Synthetic spike-in standards for RNA-seq experimentsbreakdown → | 2011 | 454 |
| 6 | 2010 | 1 | |
| 7 | 2010 | 39 | |
| 8 | Promiscuous global transcription in pluripotent embryonic stem cells | 2008 | 12 |
| 9 | 2008 | 81 | |
| 10 | 2007 | 20 | |
| 11 | 2007 | 152 | |
| 12 | 2006 | 120 | |
| 13 | 2006 | 15 | |
| 14 | Transcriptional Maps of 10 Human Chromosomes at 5-Nucleotide Resolutionbreakdown → | 2005 | 881 |
| 15 | 2005 | 231 | |
| 16 | 2003 | 123 | |
| 17 | 2001 | 62 | |
| 18 | 2000 | 13 | |
| 19 | 1998 | 190 | |
| 20 | 1994 | 5 |
About T Gingeras
T Gingeras is a scholar working on Virology, Molecular Biology and Aging, having authored 134 papers that have together received 51.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (35 papers), RNA and protein synthesis mechanisms (31 papers), Genomics and Chromatin Dynamics (29 papers), RNA modifications and cancer (26 papers), Genomics and Phylogenetic Studies (16 papers), Cancer-related molecular mechanisms research (16 papers), HIV Research and Treatment (14 papers) and Gene expression and cancer classification (13 papers). The work is most often cited by research in Cancer Research (8.4k citations), Molecular Biology (33.3k citations) and Immunology (7.7k citations). T Gingeras has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Alexander Dobin, Jörg Drenkow, Carrie Davis, Felix Schlesinger, Philippe Batut, Chris Zaleski, Sonali Jha, Mark Chaisson, Philipp Kapranov and Stephen P. A. Fodor. Their work appears in journals such as Genome Research, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Genetics and Science.
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.