Michael A. Badgley

2.1k total citations
3 papers, 271 citations indexed

About

Michael A. Badgley is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael A. Badgley has authored 3 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael A. Badgley's work include Cancer, Hypoxia, and Metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cellular transport and secretion (1 paper). Michael A. Badgley is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cellular transport and secretion (1 paper). Michael A. Badgley collaborates with scholars based in United States. Michael A. Badgley's co-authors include Dafna Bar‐Sagi, Joseph Puccini, Renu Nandakumar, Liang Tong, Brent R. Stockwell, Timothy H. Tran, Marta Sánchez-Martín, Wan Seok Yang, Lewis M. Brown and Serge Cremers and has published in prestigious journals such as Cell, Trends in cancer and Nature Metabolism.

In The Last Decade

Michael A. Badgley

3 papers receiving 269 citations

Peers

Michael A. Badgley
Sayem Miah United States
Rigney E. Turnham United States
Nadia Taouatas Netherlands
Charina Ortega United States
Derek J. Hoelz United States
Michael A. Badgley
Citations per year, relative to Michael A. Badgley Michael A. Badgley (= 1×) peers Chia-Feng Tsai

Countries citing papers authored by Michael A. Badgley

Since Specialization
Citations

This map shows the geographic impact of Michael A. Badgley's research. 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 Michael A. Badgley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Badgley more than expected).

Fields of papers citing papers by Michael A. Badgley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Badgley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael A. Badgley. The network helps show where Michael A. Badgley may publish in the future.

Co-authorship network of co-authors of Michael A. Badgley

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Badgley. A scholar is included among the top collaborators of Michael A. Badgley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael A. Badgley. Michael A. Badgley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
García‐Bermúdez, Javier, Michael A. Badgley, Lou Baudrier, et al.. (2022). Adaptive stimulation of macropinocytosis overcomes aspartate limitation in cancer cells under hypoxia. Nature Metabolism. 4(6). 724–738. 36 indexed citations
2.
Puccini, Joseph, Michael A. Badgley, & Dafna Bar‐Sagi. (2021). Exploiting cancer’s drinking problem: regulation and therapeutic potential of macropinocytosis. Trends in cancer. 8(1). 54–64. 36 indexed citations
3.
Welsch, Matthew, Anna Kaplan, Jennifer M. Chambers, et al.. (2017). Multivalent Small-Molecule Pan-RAS Inhibitors. Cell. 168(5). 878–889.e29. 199 indexed citations

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.

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