Mohan Pauliah

1.7k total citations · 2 hit papers
11 papers, 1.3k citations indexed

About

Mohan Pauliah is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Biomaterials. According to data from OpenAlex, Mohan Pauliah has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomaterials. Recurrent topics in Mohan Pauliah's work include Nanoplatforms for cancer theranostics (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mohan Pauliah is often cited by papers focused on Nanoplatforms for cancer theranostics (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Mohan Pauliah collaborates with scholars based in United States, India and Germany. Mohan Pauliah's co-authors include Michelle S. Bradbury, Pat Zanzonico, Ulrich Wiesner, Mithat Gönen, Evan H. Phillips, Oula Peñate Medina, Hovanes Kalaigian, John L. Humm, Steven M. Larson and Richard D. Carvajal and has published in prestigious journals such as Nature Nanotechnology, Chemistry of Materials and Clinical Cancer Research.

In The Last Decade

Mohan Pauliah

11 papers receiving 1.3k citations

Hit Papers

Clinical translation of an ultrasmall inorganic optical-P... 2014 2026 2018 2022 2014 2016 100 200 300 400 500

Peers

Mohan Pauliah
Chase W. Kessinger United States
Melik Z. Turker United States
Rira Watanabe United States
Yoonji Baek United States
Xin Lin China
Valerie A. Longo United States
Chase W. Kessinger United States
Mohan Pauliah
Citations per year, relative to Mohan Pauliah Mohan Pauliah (= 1×) peers Chase W. Kessinger

Countries citing papers authored by Mohan Pauliah

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Pauliah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Pauliah

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

All Works

11 of 11 papers shown
1.
Thulborn, Keith R., Aiming Lu, Ian C. Atkinson, et al.. (2018). Residual Tumor Volume, Cell Volume Fraction, and Tumor Cell Kill During Fractionated Chemoradiation Therapy of Human Glioblastoma using Quantitative Sodium MR Imaging. Clinical Cancer Research. 25(4). 1226–1232. 23 indexed citations
2.
Chen, Feng, Xiuli Zhang, Kai Ma, et al.. (2017). Melanocortin-1 Receptor-Targeting Ultrasmall Silica Nanoparticles for Dual-Modality Human Melanoma Imaging. ACS Applied Materials & Interfaces. 10(5). 4379–4393. 38 indexed citations
3.
Chen, Feng, Kai Ma, Miriam Benezra, et al.. (2017). Cancer-Targeting Ultrasmall Silica Nanoparticles for Clinical Translation: Physicochemical Structure and Biological Property Correlations. Chemistry of Materials. 29(20). 8766–8779. 57 indexed citations
4.
Zanganeh, Saeid, Ryan Spitler, Gregor Hütter, et al.. (2017). Tumor-Associated Macrophages, Nanomedicine and Imaging: The Axis of Success in The Future of Cancer Immunotherapy. Immunotherapy. 9(10). 819–835. 33 indexed citations
5.
Kim, Sung Eun, Li Zhang, Kai Ma, et al.. (2016). Ultrasmall nanoparticles induce ferroptosis in nutrient-deprived cancer cells and suppress tumour growth. Nature Nanotechnology. 11(11). 977–985. 507 indexed citations breakdown →
6.
Bradbury, Michelle S., Mohan Pauliah, Pat Zanzonico, Ulrich Wiesner, & Snehal G. Patel. (2015). Intraoperative mapping of sentinel lymph node metastases using a clinically translated ultrasmall silica nanoparticle. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 8(4). 535–553. 46 indexed citations
8.
Phillips, Evan H., Oula Peñate Medina, Pat Zanzonico, et al.. (2014). Clinical translation of an ultrasmall inorganic optical-PET imaging nanoparticle probe. Science Translational Medicine. 6(260). 260ra149–260ra149. 551 indexed citations breakdown →
9.
Blanchard, Cédric, Alain Lalande, Éric Steinmetz, et al.. (2011). Automatic evaluation of the sinus of Valsalva from cine-MRI in patients with dilated aortic root. Journal of Cardiovascular Magnetic Resonance. 13(S1). 1 indexed citations
10.
Pauliah, Mohan, Vipin Saxena, Mohammad Haris, et al.. (2007). Improved T1-weighted dynamic contrast-enhanced MRI to probe microvascularity and heterogeneity of human glioma. Magnetic Resonance Imaging. 25(9). 1292–1299. 36 indexed citations
11.
Gupta, Rakesh K., Mohammad Haris, Nuzhat Husain, et al.. (2007). Relative Cerebral Blood Volume Is a Measure of Angiogenesis in Brain Tuberculoma. Journal of Computer Assisted Tomography. 31(3). 335–341. 23 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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