Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

377 indexed citations
published 2014

Countries where authors are citing Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

Specialization
Citations

This map shows the geographic impact of Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis. 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 Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis more than expected).

Fields of papers citing Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis.

About Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis

This paper, published in 2014, received 377 indexed citations . Written by Jing Tang, Agnieszka Szwajda, Sushil Kumar Shakyawar, Tao Xu, Petteri Hintsanen, Krister Wennerberg and Tero Aittokallio covering the research area of Molecular Biology, Computational Theory and Mathematics and Pharmacology. It is primarily cited by scholars working on Computational Theory and Mathematics (347 citations), Molecular Biology (323 citations) and Materials Chemistry (117 citations). Published in Journal of Chemical Information and Modeling.

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/10.1021/ci400709d.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026