CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34.
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In The Last Decade
doi.org/w67910192 →Countries where authors are citing CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34.
This map shows the geographic impact of CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34.. 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 CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34. more than expected).
Fields of papers citing CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34.
This network shows the impact of CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34..
About CD117: a sensitive marker for gastrointestinal stromal tumors that is more specific than CD34.
This paper, published in 1998, received 627 indexed citations . Written by Maarit Sarlomo‐Rikala, Albert J. Kovatich and Markku Miettinen covering the research area of Gastroenterology. It is primarily cited by scholars working on Gastroenterology (523 citations), Pulmonary and Respiratory Medicine (436 citations) and Surgery (325 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/w67910192.