G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
Impact in
- Cancer Research 209
Classified as
- Authors
- Iain C. MacaulayWilfried HaertyParveen KumarYang LiXiaoming Hu
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth.3370 →Countries where authors are citing G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
This map shows the geographic impact of G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. 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 G&T-seq: parallel sequencing of single-cell genomes and transcriptomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G&T-seq: parallel sequencing of single-cell genomes and transcriptomes more than expected).
Fields of papers citing G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
This network shows the impact of G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the G&T-seq: parallel sequencing of single-cell genomes and transcriptomes.
About G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
This paper, published in 2015, received 536 indexed citations . Written by Iain C. Macaulay, Wilfried Haerty, Parveen Kumar, Yang Li, Xiaoming Hu, Mabel Teng, Mubeen Goolam, Nathalie Saurat, Paul Coupland and Lesley Shirley covering the research area of Molecular Biology and Cancer Research. It is primarily cited by scholars working on Molecular Biology (466 citations), Cancer Research (209 citations), Oncology (74 citations), Biophysics (60 citations) and Immunology (58 citations). Published in Nature Methods.
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.
This paper is also available at doi.org/10.1038/nmeth.3370.