Anchored multiplex PCR for targeted next-generation sequencing
Impact in
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.3729 →Countries where authors are citing Anchored multiplex PCR for targeted next-generation sequencing
This map shows the geographic impact of Anchored multiplex PCR for targeted next-generation sequencing. 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 Anchored multiplex PCR for targeted next-generation sequencing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anchored multiplex PCR for targeted next-generation sequencing more than expected).
Fields of papers citing Anchored multiplex PCR for targeted next-generation sequencing
This network shows the impact of Anchored multiplex PCR for targeted next-generation sequencing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Anchored multiplex PCR for targeted next-generation sequencing.
About Anchored multiplex PCR for targeted next-generation sequencing
This paper, published in 2014, received 640 indexed citations . Written by Zongli Zheng, Matthew Liebers, Boryana Zhelyazkova, Yi Cao, Kerry D. Lynch, Juxiang Chen, Hayley Robinson, Hyo Sup Shim, Juliann Chmielecki and William Pao covering the research area of Molecular Biology and Surgery. It is primarily cited by scholars working on Pulmonary and Respiratory Medicine (271 citations), Molecular Biology (232 citations), Oncology (177 citations), Cancer Research (154 citations) and Pathology and Forensic Medicine (80 citations). Published in Nature Medicine.
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/nm.3729.