Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets
- Journal
- Nature Communications
In The Last Decade
doi.org/10.1038/ncomms7744 →Countries where authors are citing Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets
This map shows the geographic impact of Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets. 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 Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets more than expected).
Fields of papers citing Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets
This network shows the impact of Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets.
About Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets
This paper, published in 2015, received 784 indexed citations . Written by Agnieszka K. Witkiewicz, Elizabeth A. McMillan, Uthra Balaji, GuemHee Baek, Wan-Chi Lin, John C. Mansour, Mehri Mollaee, Kay‐Uwe Wagner, Prasad Koduru and Adam C. Yopp covering the research area of Oncology, Cancer Research and Molecular Biology. It is primarily cited by scholars working on Oncology (606 citations), Cancer Research (398 citations) and Molecular Biology (378 citations). Published in Nature Communications.
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/ncomms7744.