Faye Su

1.4k total citations
16 papers, 171 citations indexed

About

Faye Su is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Faye Su has authored 16 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 10 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Faye Su's work include Advanced Breast Cancer Therapies (13 papers), Lung Cancer Research Studies (6 papers) and Cancer Genomics and Diagnostics (4 papers). Faye Su is often cited by papers focused on Advanced Breast Cancer Therapies (13 papers), Lung Cancer Research Studies (6 papers) and Cancer Genomics and Diagnostics (4 papers). Faye Su collaborates with scholars based in United States, Spain and Belgium. Faye Su's co-authors include Naveen Babbar, Dylan Conklin, Alex Gaither, Sara A. Hurvitz, Samit Hirawat, Kristine Rose, Emmanuelle DiTomaso, Dennis J. Slamon, Raul Ayala and Neil A. O’Brien and has published in prestigious journals such as Cancer Research, Annals of Oncology and Breast Cancer Research.

In The Last Decade

Faye Su

14 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faye Su United States 5 133 120 54 46 30 16 171
Lori Marini United States 4 95 0.7× 127 1.1× 71 1.3× 58 1.3× 20 0.7× 10 193
Maria Jose Lechuga Frean United States 3 107 0.8× 91 0.8× 58 1.1× 20 0.4× 20 0.7× 3 128
Pablo Tolosa Spain 8 91 0.7× 154 1.3× 50 0.9× 61 1.3× 32 1.1× 36 229
M. De Laurentis Italy 3 66 0.5× 68 0.6× 62 1.1× 29 0.6× 12 0.4× 4 126
Míriam Arumí Spain 5 80 0.6× 113 0.9× 47 0.9× 33 0.7× 14 0.5× 13 172
Neermala Poudel Neupane United States 3 72 0.5× 91 0.8× 38 0.7× 77 1.7× 24 0.8× 4 144
Cody Weimholt United States 7 67 0.5× 63 0.5× 33 0.6× 91 2.0× 8 0.3× 15 168
Dianna Hussmann Denmark 6 65 0.5× 80 0.7× 35 0.6× 125 2.7× 7 0.2× 8 196
Amanda J. Loch Canada 4 63 0.5× 89 0.7× 44 0.8× 135 2.9× 12 0.4× 5 210
Dina Pietrangelo United States 3 125 0.9× 311 2.6× 71 1.3× 40 0.9× 17 0.6× 4 345

Countries citing papers authored by Faye Su

Since Specialization
Citations

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

Fields of papers citing papers by Faye Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faye Su

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

All Works

16 of 16 papers shown
1.
Su, Faye, Meng Su, Jiayun Wu, et al.. (2025). Integrating multi-omics data to reveal the host-microbiota interactome in inflammatory bowel disease. Gut Microbes. 17(1). 2476570–2476570. 10 indexed citations
2.
Su, Faye, Chengcheng Liu, Zehui Lv, et al.. (2025). Global research trends in artificial intelligence in cardiovascular medicine: A bibliometric analysis. Archives of cardiovascular diseases. 119(2). 162–175.
3.
Liang, Tian, et al.. (2025). The Effect of Maternal Obesity on Placental Autophagy in Lean Breed Sows. Veterinary Sciences. 12(2). 97–97.
4.
André, Fabrice, Faye Su, Nadia Solovieff, et al.. (2023). Pooled ctDNA analysis of MONALEESA phase III advanced breast cancer trials. Annals of Oncology. 34(11). 1003–1014. 43 indexed citations
5.
Prat, Aleix, Nadia Solovieff, Faye Su, et al.. (2022). Abstract PD2-05: Genomic profiling of PAM50-based intrinsic subtypes in HR+/HER2- advanced breast cancer (ABC) across the MONALEESA (ML) studies. Cancer Research. 82(4_Supplement). PD2–5. 3 indexed citations
6.
7.
Prat, Aleix, Anwesha Chaudhury, Nadia Solovieff, et al.. (2021). Abstract GS1-04: Correlative biomarker analysis of intrinsic subtypes and efficacy across the MONALEESA Phase III studies. Cancer Research. 81(4_Supplement). GS1–4. 2 indexed citations
8.
O’Brien, Neil A., Martina S.J. McDermott, Dylan Conklin, et al.. (2020). Targeting activated PI3K/mTOR signaling overcomes acquired resistance to CDK4/6-based therapies in preclinical models of hormone receptor-positive breast cancer. Breast Cancer Research. 22(1). 89–89. 87 indexed citations
9.
10.
O’Brien, Neil A., Dylan Conklin, Alex Gaither, et al.. (2019). Abstract 3825: Targeting activated PI3K/mTOR signaling overcomes resistance to CDK4/6-based therapies in preclinical ER+ breast cancer models. 3825–3825. 1 indexed citations
11.
O’Brien, Neil A., Martina S.J. McDermott, Dylan Conklin, et al.. (2019). Abstract 3825: Targeting activated PI3K/mTOR signaling overcomes resistance to CDK4/6-based therapies in preclinical ER+ breast cancer models. Cancer Research. 79(13_Supplement). 3825–3825. 1 indexed citations
12.
13.
Palafox, Marta, María Teresa Herrera-Abreu, Meritxell Bellet, et al.. (2018). Abstract 3596: Biomarkers of response to CDK4/6 inhibitor (CDK4/6i) in hormone receptor (HR) positive and HER2-positive breast cancer (BC) patient-derived xenografts (PDX). Cancer Research. 78(13_Supplement). 3596–3596. 1 indexed citations
14.
Bardia, Aditya, Shanu Modi, Javier Cortés, et al.. (2018). Abstract CT069: Baseline gene expression patterns of CDK4/6 inhibitor-naïve or -refractory HR+, HER2- advanced breast cancer in the phase Ib study of ribociclib plus everolimus plus exemestane. Cancer Research. 78(13_Supplement). CT069–CT069. 3 indexed citations
15.
Neven, Patrick, Katarína Petráková, Giulia Bianchi, et al.. (2018). Ribociclib (RIB) + fulvestrant (FUL) in hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2–) advanced breast cancer (ABC): MONALEESA-3 biomarker analyses. Annals of Oncology. 29. viii113–viii114. 2 indexed citations
16.
O’Brien, Neil A., Dylan Conklin, Tong Luo, et al.. (2017). Abstract 4150: Anti-tumor activity of the PI3K/mTOR pathway inhibitors alpelisib (BYL719) and everolimus (RAD001) in xenograft models of acquired resistance to CDK-4/6 targeted therapy. Cancer Research. 77(13_Supplement). 4150–4150. 4 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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2026