Ian Pass

3.8k total citations · 1 hit paper
25 papers, 2.9k citations indexed

About

Ian Pass is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ian Pass has authored 25 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Cell Biology and 5 papers in Oncology. Recurrent topics in Ian Pass's work include PI3K/AKT/mTOR signaling in cancer (9 papers), Cellular Mechanics and Interactions (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Ian Pass is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), Cellular Mechanics and Interactions (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Ian Pass collaborates with scholars based in United States, United Kingdom and Canada. Ian Pass's co-authors include C. Peter Downes, Sara A. Courtneidge, Michael Wigler, Nicholas K. Tonks, Brian A. Hemmings, Ian H. Batty, Jeroen van der Kaay, Michael P. Myers, Darren F. Seals and Colin H. Macphee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Cell.

In The Last Decade

Ian Pass

24 papers receiving 2.8k citations

Hit Papers

The lipid phosphatase activity of PTEN is critical for it... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian Pass United States 18 2.1k 827 458 409 402 25 2.9k
Elisabeth Génot France 31 1.5k 0.7× 1.1k 1.3× 498 1.1× 614 1.5× 585 1.5× 87 3.1k
Peter J. Coopman France 23 1.5k 0.7× 613 0.7× 448 1.0× 460 1.1× 280 0.7× 51 2.3k
Serge Roche France 37 3.1k 1.5× 839 1.0× 371 0.8× 1.0k 2.5× 373 0.9× 92 4.5k
Kathrin H. Kirsch United States 24 1.5k 0.7× 326 0.4× 356 0.8× 364 0.9× 211 0.5× 44 2.2k
Bart Vanhaesebroeck United Kingdom 16 2.7k 1.3× 588 0.7× 284 0.6× 682 1.7× 250 0.6× 17 3.8k
Stefan Wennström Sweden 17 1.9k 0.9× 761 0.9× 245 0.5× 387 0.9× 395 1.0× 24 2.5k
Joan Levy United States 28 2.6k 1.3× 545 0.7× 406 0.9× 955 2.3× 397 1.0× 58 3.6k
William T. Arthur United States 22 2.3k 1.1× 1.2k 1.5× 301 0.7× 422 1.0× 671 1.7× 26 3.3k
Mary L. Stracke United States 32 2.7k 1.3× 1.3k 1.6× 545 1.2× 605 1.5× 439 1.1× 52 3.7k
Steve Silletti United States 24 1.5k 0.7× 533 0.6× 705 1.5× 598 1.5× 685 1.7× 49 2.8k

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-authorship network of co-authors of Ian Pass

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

All Works

20 of 20 papers shown
1.
Larson, Jon D., Darren Finlay, Rabi Murad, et al.. (2024). EPEN-26. DRUG SCREENING IN PATIENT-DERIVED MODELS OF POSTERIOR FOSSA A EPENDYMOMA REVEALS NOVEL PHARMACOLOGICAL VULNERABILITIES. Neuro-Oncology. 26(Supplement_4). 0–0.
2.
Zeng, Fu‐Yue, et al.. (2023). High-throughput screening of compounds targeting RNA editing in Trypanosoma brucei: Novel molecular scaffolds with broad trypanocidal effects. Biochemical Pharmacology. 219. 115937–115937. 4 indexed citations
3.
Iizuka, Shinji, Manuela Quintavalle, Robert Ardecky, et al.. (2021). Serine-Threonine Kinase TAO3-Mediated Trafficking of Endosomes Containing the Invadopodia Scaffold TKS5α Promotes Cancer Invasion and Tumor Growth. Cancer Research. 81(6). 1472–1485. 13 indexed citations
4.
Farhy, Chen, Santosh Hariharan, Jarkko Ylanko, et al.. (2019). Improving drug discovery using image-based multiparametric analysis of the epigenetic landscape. eLife. 8. 18 indexed citations
5.
Feng, Yongmei, E. Hampton Sessions, Fan Zhang, et al.. (2019). Identification and characterization of small molecule inhibitors of the ubiquitin ligases Siah1/2 in melanoma and prostate cancer cells. Cancer Letters. 449. 145–162. 18 indexed citations
6.
Rong, Juan, Ian Pass, Paul Diaz, et al.. (2015). Cell-Based High-Throughput Luciferase Reporter Gene Assays for Identifying and Profiling Chemical Modulators of Endoplasmic Reticulum Signaling Protein, IRE1. SLAS DISCOVERY. 20(10). 1232–1245. 10 indexed citations
7.
Welsh, Kate, Michael Cuddy, Paulo H. Godoi, et al.. (2011). TR-FRET-Based High-Throughput Screening Assay for Identification of UBC13 Inhibitors. SLAS DISCOVERY. 17(2). 163–176. 34 indexed citations
8.
Buschman, Matthew D., Paul A. Bromann, Pilar Cejudo-Martı́n, et al.. (2009). The Novel Adaptor Protein Tks4 (SH3PXD2B) Is Required for Functional Podosome Formation. Molecular Biology of the Cell. 20(5). 1302–1311. 147 indexed citations
9.
Blouw, Barbara, Darren F. Seals, Ian Pass, Begoña Díaz, & Sara A. Courtneidge. (2008). A role for the podosome/invadopodia scaffold protein Tks5 in tumor growth in vivo. European Journal of Cell Biology. 87(8-9). 555–567. 100 indexed citations
10.
Courtneidge, Sara A., et al.. (2005). The Src Substrate Tks5, Podosomes (Invadopodia), and Cancer Cell Invasion. Cold Spring Harbor Symposia on Quantitative Biology. 70(0). 167–171. 74 indexed citations
11.
Seals, Darren F., Ian Pass, Lia Tesfay, et al.. (2005). The adaptor protein Tks5/Fish is required for podosome formation and function, and for the protease-driven invasion of cancer cells. Cancer Cell. 7(2). 155–165. 298 indexed citations
12.
Abram, Clare L., Darren F. Seals, Ian Pass, et al.. (2003). The Adaptor Protein Fish Associates with Members of the ADAMs Family and Localizes to Podosomes of Src-transformed Cells. Journal of Biological Chemistry. 278(19). 16844–16851. 200 indexed citations
13.
McConnachie, George, Ian Pass, Steven M. Walker, & C. Peter Downes. (2003). Interfacial kinetic analysis of the tumour suppressor phosphatase, PTEN: evidence for activation by anionic phospholipids. Biochemical Journal. 371(3). 947–955. 92 indexed citations
14.
Patel, Lisa, et al.. (2001). Tumor suppressor and anti-inflammatory actions of PPARγ agonists are mediated via upregulation of PTEN. Current Biology. 11(10). 764–768. 312 indexed citations
15.
Downes, C. Peter, George McConnachie, Nicholas R. Leslie, et al.. (2001). Antagonism of PI 3-kinase-dependent signalling pathways by the tumour suppressor protein, PTEN. Biochemical Society Transactions. 29(6). 846–846. 10 indexed citations
16.
Leslie, Nicholas R., et al.. (2001). Targeting mutants of PTEN reveal distinct subsets of tumour suppressor functions. Biochemical Journal. 357(2). 427–427. 51 indexed citations
17.
Downes, C. Peter, et al.. (2001). Antagonism of PI 3-kinase-dependent signalling pathways by the tumour suppressor protein, PTEN. Biochemical Society Transactions. 29(6). 846–851. 47 indexed citations
18.
Leslie, Nicholas R., et al.. (2001). Targeting mutants of PTEN reveal distinct subsets of tumour suppressor functions. Biochemical Journal. 357(2). 427–435. 47 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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