Michael D. Waterfield

3.8k citations
8 papers · 3.3k indexed · 3 hit papers · h-index 8
Topics
Protein Kinase Regulation and GTPase Signaling (7 papers)Cellular transport and secretion (3 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)

In The Last Decade

Michael D. Waterfield

8 papers receiving 3.2k citations

Hit Papers

Phosphatidylinositol-3-OH kinase direct target of Ras199320262004201519941997199350010001.5k

Peers

Michael D. Waterfield
Comparison fields: 5 of 92
  • Molecular Biology 2.6k
  • Cell Biology 765
  • Oncology 630
  • Immunology 402
  • Genetics 251
Replace Roy Katso with:
Roy Katso United Kingdom
Bart Vanhaesebroeck United Kingdom
Ingrid Verlaan Netherlands
Serge Roche France
Fuad Bahram Sweden
Nancy Olashaw United States
Maria Rozakis-Adcock Canada
Brian Duckworth United States
Jan Domin United Kingdom
Kurt R. Auger United States
Michael D. Waterfield relative to Roy Katso United Kingdom Roy Katso's profile →
Citations per field
00.5×1.6×
Roy Katso · 1×
Citations per year

Countries citing papers authored by Michael D. Waterfield

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Waterfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Waterfield. 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 D. Waterfield. The network helps show where Michael D. Waterfield may publish in the future.

Co-authorship network of co-authors of Michael D. Waterfield

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Waterfield. A scholar is included among the top collaborators of Michael D. Waterfield 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 D. Waterfield. Michael D. Waterfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 30
2 48
3
Phosphoinositide 3-kinases: A conserved family of signal transducersbreakdown →
801
4 107
5
Phosphatidylinositol-3-OH kinase direct target of Rasbreakdown →
1640
6 107
7 44
8
The GTPase dynamin binds to and is activated by a subset of SH3 domainsbreakdown →
518

About Michael D. Waterfield

Michael D. Waterfield is a scholar working on Cell Biology, Molecular Biology and Immunology, having authored 8 papers that have together received 3.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Cellular transport and secretion (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cell Biology (765 citations), Molecular Biology (2.6k citations) and Immunology and Allergy (160 citations). Michael D. Waterfield has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include Bart Vanhaesebroeck, George Panayotou, Michael Fry, Ivan Gout, Ritu Dhand, Patricia H. Warne, Julian Downward, Pablo Rodriguez‐Viciana, Sally J. Leevers and Grant W. Booker. Their work appears in journals such as Nature, Cell and Journal of Molecular Biology.

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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