Isabelle Dussault

4.1k total citations · 1 hit paper
65 papers, 2.8k citations indexed

About

Isabelle Dussault is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Isabelle Dussault has authored 65 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 25 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Isabelle Dussault's work include Pancreatic and Hepatic Oncology Research (14 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Liver physiology and pathology (12 papers). Isabelle Dussault is often cited by papers focused on Pancreatic and Hepatic Oncology Research (14 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Liver physiology and pathology (12 papers). Isabelle Dussault collaborates with scholars based in United States, Germany and South Korea. Isabelle Dussault's co-authors include Barry M. Forman, Timothy W. Synold, Vincent Giguère, Steven F. Bellon, Min Lin, Christoph Helwig, Sandra C. Miller, James L. Gulley, Eric H. Wang and Mark A. Sherman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Isabelle Dussault

64 papers receiving 2.8k citations

Hit Papers

The orphan nuclear receptor SXR coordinately regulates dr... 2001 2026 2009 2017 2001 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The orphan nuclear receptor SXR coordinately regulates drug metabolism and efflux
    2001 682 citations Timothy W. Synold, Isabelle Dussault et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Dussault United States 23 1.4k 1.0k 684 468 374 65 2.8k
Jongsook Kim Kemper United States 40 1.4k 1.0× 2.5k 2.4× 450 0.7× 528 1.1× 261 0.7× 66 5.3k
William A. Gaarde United States 30 905 0.7× 2.4k 2.3× 857 1.3× 153 0.3× 371 1.0× 41 4.5k
Michael Schwarz Germany 34 687 0.5× 2.2k 2.1× 438 0.6× 272 0.6× 129 0.3× 106 3.7k
Jun‐ichi Nezu Japan 34 2.8k 2.0× 2.7k 2.6× 390 0.6× 425 0.9× 251 0.7× 54 6.2k
Jonathan Tugwood United Kingdom 29 952 0.7× 2.5k 2.4× 254 0.4× 290 0.6× 211 0.6× 53 3.7k
Arthur R. Buckley United States 32 767 0.6× 1.2k 1.2× 246 0.4× 314 0.7× 364 1.0× 76 2.8k
Chin‐Wen Chi Taiwan 32 509 0.4× 1.5k 1.4× 386 0.6× 195 0.4× 129 0.3× 80 3.0k
Cristin M. Galardi United States 13 1.6k 1.2× 1.7k 1.6× 273 0.4× 520 1.1× 209 0.6× 15 3.3k
Rosa M. Pascale Italy 37 705 0.5× 2.5k 2.4× 130 0.2× 267 0.6× 164 0.4× 112 3.9k
Joan G. Wilson United States 20 1.9k 1.4× 1.6k 1.6× 298 0.4× 333 0.7× 298 0.8× 30 3.9k

Countries citing papers authored by Isabelle Dussault

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Dussault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Dussault

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Dussault. A scholar is included among the top collaborators of Isabelle Dussault 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 Isabelle Dussault. Isabelle Dussault 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.
Spira, Alexander I., Ahmad Awada, Nicolás Isambert, et al.. (2022). Identification of HMGA2 as a predictive biomarker of response to bintrafusp alfa in a phase 1 trial in patients with advanced triple-negative breast cancer. Frontiers in Oncology. 12. 981940–981940. 5 indexed citations
2.
Khasraw, Mustafa, Michael Weller, David Lorente, et al.. (2021). Bintrafusp alfa (M7824), a bifunctional fusion protein targeting TGF-β and PD-L1: results from a phase I expansion cohort in patients with recurrent glioblastoma. Neuro-Oncology Advances. 3(1). vdab058–vdab058. 18 indexed citations
3.
Lin, Chia‐Chi, Toshihiko Doi, Kei Muro, et al.. (2021). Bintrafusp Alfa, a Bifunctional Fusion Protein Targeting TGFβ and PD-L1, in Patients with Esophageal Squamous Cell Carcinoma: Results from a Phase 1 Cohort in Asia. Targeted Oncology. 16(4). 447–459. 22 indexed citations
4.
Ahn, Myung‐Ju, Fabrice Barlési, Enriqueta Felip, et al.. (2021). MO01.29 Randomized, Open-Label Study of Bintrafusp Alfa vs. Pembrolizumab as First-Line (1L) Treatment in Patients with PD-L1–Expressing Advanced Non-Small Cell Lung Cancer (NSCLC). Journal of Thoracic Oncology. 16(1). S27–S28. 3 indexed citations
5.
Tan, Benjamin, Adnan Khattak, Enriqueta Felip, et al.. (2021). Bintrafusp Alfa, a Bifunctional Fusion Protein Targeting TGF-β and PD-L1, in Patients with Esophageal Adenocarcinoma: Results from a Phase 1 Cohort. Targeted Oncology. 16(4). 435–446. 38 indexed citations
6.
Kang, Yoon‐Koo, Yung‐Jue Bang, Shunsuke Kondo, et al.. (2020). Safety and Tolerability of Bintrafusp Alfa, a Bifunctional Fusion Protein Targeting TGFβ and PD-L1, in Asian Patients with Pretreated Recurrent or Refractory Gastric Cancer. Clinical Cancer Research. 26(13). 3202–3210. 31 indexed citations
7.
Ahn, Myung‐Ju, Fabrice Barlési, Enriqueta Felip, et al.. (2019). P1.01-133 Randomized Open-Label Study of Bintrafusp Alfa (M7824) vs Pembrolizumab in Patients with PD-L1 Expressing Advanced 1L NSCLC. Journal of Thoracic Oncology. 14(10). S415–S415. 1 indexed citations
8.
Ihling, Christian, Bartholomew J. Naughton, Yue Zhang, et al.. (2019). Observational Study of PD-L1, TGF-β, and Immune Cell Infiltrates in Hepatocellular Carcinoma. Frontiers in Medicine. 6. 15–15. 26 indexed citations
9.
Wilkins, Justin, Yulia Vugmeyster, Isabelle Dussault, Pascal Girard, & Akash Khandelwal. (2019). Population Pharmacokinetic Analysis of Bintrafusp Alfa in Different Cancer Types. Advances in Therapy. 36(9). 2414–2433. 15 indexed citations
10.
Bang, Yung‐Jue, Toshihiko Doi, Shunsuke Kondo, et al.. (2018). Updated results from a phase I trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with pretreated recurrent or refractory gastric cancer. Annals of Oncology. 29. viii222–viii223. 10 indexed citations
11.
Guertin, Amy D., Jennifer O’Neil, Alexander Stoeck, et al.. (2016). High Levels of Expression of P-glycoprotein/Multidrug Resistance Protein Result in Resistance to Vintafolide. Molecular Cancer Therapeutics. 15(8). 1998–2008. 16 indexed citations
12.
Hughes, Paul E., Karen Rex, Sean Caenepeel, et al.. (2016). In Vitro and In Vivo Activity of AMG 337, a Potent and Selective MET Kinase Inhibitor, in MET-Dependent Cancer Models. Molecular Cancer Therapeutics. 15(7). 1568–1579. 44 indexed citations
13.
Zhang, Yihong, Paula Kaplan‐Lefko, Karen Rex, et al.. (2008). Identification of a Novel Recepteur d'Origine Nantais/c-Met Small-Molecule Kinase Inhibitor with Antitumor Activity In vivo. Cancer Research. 68(16). 6680–6687. 47 indexed citations
14.
Zhang, Yihong, Paula Kaplan‐Lefko, Karen Rex, et al.. (2007). Identification and characterization of a novel RON/c-Met small molecule inhibitor. Molecular Cancer Therapeutics. 6. 2 indexed citations
15.
Bellon, Steven F., Paula Kaplan‐Lefko, Yajing Yang, et al.. (2007). c-Met Inhibitors with Novel Binding Mode Show Activity against Several Hereditary Papillary Renal Cell Carcinoma-related Mutations. Journal of Biological Chemistry. 283(5). 2675–2683. 113 indexed citations
16.
Li, Shan, Jeremy Vincent, J.S. Brunzelle, et al.. (2004). Structure of the Murine Constitutive Androstane Receptor Complexed to Androstenol. Molecular Cell. 16(6). 907–917. 91 indexed citations
17.
Forman, Barry M. & Isabelle Dussault. (2002). The Nuclear Receptor PXR: A Master Regulator of “Homeland” Defense. Critical Reviews in Eukaryotic Gene Expression. 12(1). 12–12. 66 indexed citations
18.
Dussault, Isabelle, et al.. (2001). Peptide Mimetic HIV Protease Inhibitors Are Ligands for the Orphan Receptor SXR. Journal of Biological Chemistry. 276(36). 33309–33312. 149 indexed citations
19.
Dussault, Isabelle, et al.. (1998). Orphan nuclear receptor RORα-deficient mice display the cerebellar defects of staggerer. Mechanisms of Development. 70(1-2). 147–153. 154 indexed citations
20.
Dussault, Isabelle & Vincent Giguère. (1997). Differential Regulation of the N- myc Proto-Oncogene by RORα and RVR, Two Orphan Members of the Superfamily of Nuclear Hormone Receptors. Molecular and Cellular Biology. 17(4). 1860–1867. 61 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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