Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction
Impact in
- Molecular Biology 1.3k
- Oncology 311
Classified as
- Journal
- Nature
In The Last Decade
doi.org/10.1038/376599a0 →Countries where authors are citing Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction
This map shows the geographic impact of Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction. 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 Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction more than expected).
Fields of papers citing Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction
This network shows the impact of Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction.
About Protein kinase B (c-Akt) in phosphatidylinositol-3-OH kinase signal transduction
This paper, published in 1995, received 1.8k indexed citations . Written by Boudewijn M.T. Burgering and Paul James Coffer covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (1.3k citations), Oncology (311 citations), Immunology (217 citations), Cell Biology (210 citations) and Physiology (149 citations). Published in Nature.
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/10.1038/376599a0.