Rose Ong

843 total citations
27 papers, 598 citations indexed

About

Rose Ong is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rose Ong has authored 27 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rose Ong's work include Pulmonary Hypertension Research and Treatments (13 papers), Cardiovascular Issues in Pregnancy (5 papers) and Phytochemical Studies and Bioactivities (5 papers). Rose Ong is often cited by papers focused on Pulmonary Hypertension Research and Treatments (13 papers), Cardiovascular Issues in Pregnancy (5 papers) and Phytochemical Studies and Bioactivities (5 papers). Rose Ong collaborates with scholars based in Switzerland, United States and Hong Kong. Rose Ong's co-authors include Iori Ito, Mark Stopfer, Baranidharan Raman, Richard Houghton, Federico Bolognani, Kwok‐Pui Fung, Biao Yu, Thomas C. W. Mak, Henry Ν. C. Wong and Vincent E. C. Ooi and has published in prestigious journals such as Neuron, Nature Neuroscience and Neurology.

In The Last Decade

Rose Ong

24 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rose Ong Switzerland 11 236 160 114 87 70 27 598
Kelly Lyons United States 8 178 0.8× 201 1.3× 33 0.3× 39 0.4× 53 0.8× 12 742
Natalie Allcock United Kingdom 14 206 0.9× 112 0.7× 34 0.3× 15 0.2× 45 0.6× 23 627
Xiangping Zhou China 11 301 1.3× 173 1.1× 67 0.6× 95 1.1× 7 0.1× 35 841
J. Buschmann Germany 14 134 0.6× 56 0.3× 34 0.3× 40 0.5× 23 0.3× 31 686
Jutta Rohrbacher Belgium 12 458 1.9× 300 1.9× 48 0.4× 39 0.4× 9 0.1× 19 798
Vikram Joshi United States 16 226 1.0× 95 0.6× 32 0.3× 145 1.7× 11 0.2× 27 610
Shiliang Zhang China 16 355 1.5× 234 1.5× 104 0.9× 31 0.4× 9 0.1× 45 825
Noriko Shinjyo Japan 15 248 1.1× 96 0.6× 39 0.3× 23 0.3× 9 0.1× 27 796

Countries citing papers authored by Rose Ong

Since Specialization
Citations

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

Fields of papers citing papers by Rose Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rose Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Rose Ong. A scholar is included among the top collaborators of Rose Ong 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 Rose Ong. Rose Ong 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.
2.
Chin, Kelly, Richard Channick, Nick H. Kim, et al.. (2024). Macitentan and Tadalafil Combination Therapy in Incident and Prevalent Pulmonary Arterial Hypertension: Real-World Evidence from the OPUS/OrPHeUS Studies. Advances in Therapy. 41(11). 4205–4227.
3.
Chin, Kelly, Richard N. Channick, Nick H. Kim, et al.. (2024). Macitentan in Pulmonary Arterial Hypertension Due to Congenital Heart Disease (CHD-PAH): Real-World Evidence from the OPUS/OrPHeUS Studies. Cardiology and Therapy. 13(4). 775–796. 1 indexed citations
4.
Channick, Richard N., Kelly Chin, Vallerie V. McLaughlin, et al.. (2024). Macitentan in Pulmonary Arterial Hypertension Associated with Connective Tissue Disease (CTD-PAH): Real-World Evidence from the Combined OPUS/OrPHeUS Dataset. Cardiology and Therapy. 13(2). 315–339. 2 indexed citations
5.
6.
Howard, Luke, Martin Johnson, David G. Kiely, et al.. (2023). Predictors of outcomes in mild pulmonary hypertension according to 2022 ESC/ERS Guidelines: the EVIDENCE-PAH UK study. European Heart Journal. 44(44). 4678–4691. 20 indexed citations
7.
Biedermann, Patricia, et al.. (2021). Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases. BMC Medical Research Methodology. 21(1). 238–238. 37 indexed citations
8.
Channick, Richard N., Nick Kim, Vallerie V. McLaughlin, et al.. (2021). SAFETY OF MACITENTAN IN PULMONARY HYPERTENSION PATIENTS WITH ELEVATED PULMONARY CAPILLARY WEDGE PRESSURE: REAL-WORLD EVIDENCE FROM OPUS/ORPHEUS. CHEST Journal. 160(4). A2275–A2278. 1 indexed citations
9.
McLaughlin, Vallerie V., Kelly Chin, Megan Flynn, et al.. (2020). Treatment with macitentan for pulmonary arterial hypertension (PAH) associated with congenital heart disease (CHD): real-world experience from the combined OPUS and OrPHeUS data sets. European Heart Journal. 41(Supplement_2). 2 indexed citations
10.
Ravichandran, Ashwin, Richard N. Channick, Kelly Chin, et al.. (2020). Treatment of Drug- and Toxin-Induced Pulmonary Arterial Hypertension (PAH): Real-World Experience with Macitentan. The Journal of Heart and Lung Transplantation. 39(4). S508–S508.
11.
12.
Wagner, Kathryn R., Brenda Wong, Barry J. Byrne, et al.. (2019). A Phase 1b/2 Study of the Anti-Myostatin Adnectin RG6206 (BMS-986089) in Ambulatory Boys with Duchenne Muscular Dystrophy: A 72-Week Treatment Update (P1.6-062). Neurology. 92(15_supplement). 5 indexed citations
13.
Ito, Iori, Maxim Bazhenov, Rose Ong, Baranidharan Raman, & Mark Stopfer. (2009). Frequency Transitions in Odor-Evoked Neural Oscillations. Neuron. 64(5). 692–706. 59 indexed citations
14.
Kwok, Tim Tak, Siu Cheung Kong, Ming Li, et al.. (2009). Polyphyllin D - A Potential Anti-Cancer Agent to Kill Hepatocarcinoma Cells with Multi-Drug Resistance. Current Chemical Biology. 3(1). 89–99. 15 indexed citations
15.
Ito, Iori, Rose Ong, Baranidharan Raman, & Mark Stopfer. (2008). Sparse odor representation and olfactory learning. Nature Neuroscience. 11(10). 1177–1184. 100 indexed citations
16.
Ito, Iori, Rose Ong, Baranidharan Raman, & Mark Stopfer. (2008). Olfactory learning and spike timing dependent plasticity. Communicative & Integrative Biology. 1(2). 170–171. 10 indexed citations
17.
Ong, Rose, Lei Jin, Kwok‐Pui Fung, et al.. (2007). Polyphyllin D induces mitochondrial fragmentation and acts directly on the mitochondria to induce apoptosis in drug-resistant HepG2 cells. Cancer Letters. 261(2). 158–164. 69 indexed citations
18.
Ong, Rose, Henry Ν. C. Wong, Thomas C. W. Mak, et al.. (2004). Saponin Polyphyllin D induced apoptosis in human hepatocellular carcinoma and multidrug resistant liver cancer cells. Cancer Research. 64. 688–689. 3 indexed citations
19.
Ong, Rose, Yick-Keung Suen, Vincent E. C. Ooi, et al.. (2004). Polyphyllin D is a potent apoptosis inducer in drug-resistant HepG2 cells. Cancer Letters. 217(2). 203–211. 136 indexed citations
20.
Yang, Chuen‐Mao, et al.. (1994). 5-Hydroxytryptamine-stimulated calcium mobilization in cultured canine tracheal smooth muscle cells. Cell Calcium. 16(3). 194–204. 15 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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