Ian Pass

3.8k citations
25 papers · 2.9k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Ian Pass

24 papers receiving 2.8k citations

Hit Papers

The lipid phosphatase activity of PTEN is critical for its tumor supressor function 1998 · 977 citations
9771998202620072016250500750

Peers

Ian Pass
Comparison fields: 5 of 101
  • Immunology and Allergy 402
  • Cell Biology 827
  • Molecular Biology 2.1k
  • Cancer Research 458
  • Genetics 208
Replace Elisabeth Génot with:
Elisabeth Génot France
Serge Roche France
Bart Vanhaesebroeck United Kingdom
Kathrin H. Kirsch United States
Kurt R. Auger United States
Barbara Marte United States
Salvatore J. Coniglio United States
John P. O’Bryan United States
William T. Arthur United States
Steve Silletti United States
Ian Pass relative to Elisabeth Génot France Elisabeth Génot's profile →
Citations per field
00.5×1.5×
Elisabeth Génot · 1×
Citations per year

Countries citing papers authored by Ian Pass

Since Specialization
Citations

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

Fields of papers citing papers by Ian Pass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Pass. 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 Ian Pass. The network helps show where Ian Pass may publish in the future.

Co-authors

The 25 scholars most cited alongside Ian Pass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Pass Line = papers co-authored together Ian Pass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The lipid phosphatase activity of PTEN is critical for its tumor supressor function
Hit paper breakdown →
1998977
2 2001312
3 2005298
4 2003200
5 2009193
6 2009147
7 2009120
8 2008100
9 200392
10 200574
11 200066
12 200151
13 200147
14 200147
15 201134
16 201918
17 201918
18 200017
19 202113
20 202111

About Ian Pass

Ian Pass is a scholar working on Immunology and Allergy, Cell Biology, Molecular Biology, Genetics and Oncology, having authored 25 papers that have together received 2.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Cellular Mechanics and Interactions (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cell Adhesion Molecules Research (4 papers), Signaling Pathways in Disease (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Protein Tyrosine Phosphatases (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Immunology and Allergy (402 citations), Cell Biology (827 citations), Molecular Biology (2.1k citations), Cancer Research (458 citations) and Genetics (208 citations). Ian Pass has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include C. Peter Downes, Sara A. Courtneidge, Ian H. Batty, Michael P. Myers, Michael Wigler, Jeroen van der Kaay, Brian A. Hemmings, Nicholas K. Tonks, Darren F. Seals and Colin H. Macphee. Their work appears in journals such as Biochemical Journal, SLAS DISCOVERY, Biochemical Society Transactions, Neuropeptides and Current 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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