Soumya Ullas

1.0k total citations
11 papers, 649 citations indexed

About

Soumya Ullas is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Soumya Ullas has authored 11 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Soumya Ullas's work include Cancer, Hypoxia, and Metabolism (2 papers), Microtubule and mitosis dynamics (2 papers) and ECG Monitoring and Analysis (1 paper). Soumya Ullas is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Microtubule and mitosis dynamics (2 papers) and ECG Monitoring and Analysis (1 paper). Soumya Ullas collaborates with scholars based in United States, Canada and South Korea. Soumya Ullas's co-authors include Gerburg M. Wulf, John M. Asara, Hai Hu, Lewis C. Cantley, Costas A. Lyssiotis, Ashish Juvekar, Evan C. Lien, Josh Lauring, John G. Albeck and Aaron K. Grant and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Soumya Ullas

10 papers receiving 643 citations

Peers

Soumya Ullas

MB

ONCOL

CR

BE

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Teresa Gagliano Italy

Sun Y. Kim United States

Mira Stadler Austria

Michela Cortesi Italy

Sandy Azzi France

Arnaud Blomme Belgium

Luc Gailhouste Japan

M. Victoria Recouvreux United States

Frank He United States

Junhye Kwon South Korea

Teresa Gagliano Italy

Soumya Ullas

297 ×0.7

MB

200 ×1.4

ONCOL

149 ×1.1

CR

56 ×0.5

BE

31 ×0.4

CB

Citations per year, relative to Soumya Ullas Soumya Ullas (= 1×) peers Teresa Gagliano

Countries citing papers authored by Soumya Ullas

Since Specialization

Citations

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

Fields of papers citing papers by Soumya Ullas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumya Ullas

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

All Works

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11 of 11 papers shown

1.

Reyes, Luis A., et al.. (2025). Assessment of a non-invasive approach for pressure volume loop prediction in mice. Scientific Reports. 15(1). 18216–18216.

2.

Ullas, Soumya, et al.. (2024). Isoproterenol induced cardiac hypertrophy: A comparison of three doses and two delivery methods in C57BL/6J mice. PLoS ONE. 19(7). e0307467–e0307467. 4 indexed citations

3.

Huichalaf, Claudia, Youngwook Ahn, Xian Chen, et al.. (2023). A modified mouse model of Friedreich’s ataxia with conditional Fxn allele homozygosity delays onset of cardiomyopathy. American Journal of Physiology-Heart and Circulatory Physiology. 326(2). H357–H369. 1 indexed citations

4.

Duan, Chong, et al.. (2022). Fully automated mouse echocardiography analysis using deep convolutional neural networks. American Journal of Physiology-Heart and Circulatory Physiology. 323(4). H628–H639. 9 indexed citations

5.

Chaudagar, Kiranj, Natalie Landon‐Brace, Aniruddh Solanki, et al.. (2020). Cabozantinib Unlocks Efficient In Vivo Targeted Delivery of Neutrophil-Loaded Nanoparticles into Murine Prostate Tumors. Molecular Cancer Therapeutics. 20(2). 438–449. 14 indexed citations

6.

Prete, Alessandro, Agnes S. Lo, Peter M. Sadow, et al.. (2018). Pericytes Elicit Resistance to Vemurafenib and Sorafenib Therapy in Thyroid Carcinoma via the TSP-1/TGFβ1 Axis. Clinical Cancer Research. 24(23). 6078–6097. 46 indexed citations

7.

Hu, Hai, Ashish Juvekar, Costas A. Lyssiotis, et al.. (2016). Phosphoinositide 3-Kinase Regulates Glycolysis through Mobilization of Aldolase from the Actin Cytoskeleton. Cell. 164(3). 433–446. 289 indexed citations

8.

Juvekar, Ashish, Hai Hu, Sina Yadegarynia, et al.. (2016). Phosphoinositide 3-kinase inhibitors induce DNA damage through nucleoside depletion. Proceedings of the National Academy of Sciences. 113(30). E4338–47. 71 indexed citations

9.

Kurmann, Anita, Maria Paola Serra, Finn Hawkins, et al.. (2015). Regeneration of Thyroid Function by Transplantation of Differentiated Pluripotent Stem Cells. Cell stem cell. 17(5). 527–542. 155 indexed citations

10.

Hylander, Bonnie L., Arindam Sen, Sarah H. Beachy, et al.. (2015). Tumor priming by Apo2L/TRAIL reduces interstitial fluid pressure and enhances efficacy of liposomal gemcitabine in a patient derived xenograft tumor model. Journal of Controlled Release. 217. 160–169. 22 indexed citations

11.

Ullas, Soumya, et al.. (2015). A pilot study of the effects of mild systemic heating on human head and neck tumour xenografts: Analysis of tumour perfusion, interstitial fluid pressure, hypoxia and efficacy of radiation therapy. International Journal of Hyperthermia. 31(6). 693–701. 38 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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