Progression model for pancreatic cancer.

665 indexed citations
published 2000

Countries where authors are citing Progression model for pancreatic cancer.

Specialization
Citations

This map shows the geographic impact of Progression model for pancreatic cancer.. 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 Progression model for pancreatic cancer. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Progression model for pancreatic cancer. more than expected).

Fields of papers citing Progression model for pancreatic cancer.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Progression model for pancreatic cancer.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Progression model for pancreatic cancer..

About Progression model for pancreatic cancer.

This paper, published in 2000, received 665 indexed citations . Written by Ralph H. Hruban, Michael Goggins, Jason L. Parsons and S E Kern covering the research area of Pathology and Forensic Medicine and Oncology. It is primarily cited by scholars working on Oncology (547 citations), Molecular Biology (306 citations) and Cancer Research (238 citations). Published in PubMed.

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/w66424079.

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