Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma
Impact in
- Oncology 1.1k
- Cancer Research 573
Classified as
- Journal
- Nature Genetics
In The Last Decade
doi.org/10.1038/ng.3398 →Countries where authors are citing Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma
This map shows the geographic impact of Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma. 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 Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma more than expected).
Fields of papers citing Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma
This network shows the impact of Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma.
About Virtual microdissection identifies distinct tumor- and stroma-specific subtypes of pancreatic ductal adenocarcinoma
This paper, published in 2015, received 1.6k indexed citations . Written by Richard A. Moffitt, Raoud Marayati, Keith E. Volmar, Silvia G. Herrera Loeza, Katherine A. Hoadley, Naim U. Rashid, Lindsay A. Williams, Samuel C. Eaton, Judy M. Anderson and Han Jo Kim covering the research area of Molecular Biology, Oncology and Cancer Research. It is primarily cited by scholars working on Oncology (1.1k citations), Cancer Research (573 citations), Molecular Biology (539 citations), Pulmonary and Respiratory Medicine (179 citations) and Immunology (178 citations). Published in Nature Genetics.
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/ng.3398.