The drug resistance-related protein LRP is the human major vault protein
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm0695-578 →Countries where authors are citing The drug resistance-related protein LRP is the human major vault protein
This map shows the geographic impact of The drug resistance-related protein LRP is the human major vault protein. 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 The drug resistance-related protein LRP is the human major vault protein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The drug resistance-related protein LRP is the human major vault protein more than expected).
Fields of papers citing The drug resistance-related protein LRP is the human major vault protein
This network shows the impact of The drug resistance-related protein LRP is the human major vault protein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The drug resistance-related protein LRP is the human major vault protein.
About The drug resistance-related protein LRP is the human major vault protein
This paper, published in 1995, received 512 indexed citations . Written by George L. Scheffer, Peter Wijngaard, Marcel J. Flens, Miguel Izquierdo, Marilyn L. Slovak, Herbert M. Pinedo, Chris J.L.M. Meijer, Hans Clevers and Rik J. Scheper covering the research area of Oncology, Nutrition and Dietetics and Molecular Biology. It is primarily cited by scholars working on Oncology (354 citations), Molecular Biology (257 citations) and Surgery (90 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/nm0695-578.