Preeti Ahuja

2.4k total citations
28 papers, 1.7k citations indexed

About

Preeti Ahuja is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Preeti Ahuja has authored 28 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 12 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Preeti Ahuja's work include Prostate Cancer Diagnosis and Treatment (12 papers), Prostate Cancer Treatment and Research (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Preeti Ahuja is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (12 papers), Prostate Cancer Treatment and Research (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Preeti Ahuja collaborates with scholars based in United States, Switzerland and United Kingdom. Preeti Ahuja's co-authors include W. Robb MacLellan, Patima Sdek, Jean‐Claude Perriard, Evelyne Perriard, Elisabeth Ehler, Steven S. Raman, Thomas Pasch, Michael Zaugg, Jianhua Feng and Eliana Lucchinetti and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Preeti Ahuja

28 papers receiving 1.7k citations

Peers

Preeti Ahuja
Bin Xie China
Dietmar Abraham Austria
Raffaele Rossiello Italy
Yongwei Yu China
Matthias Canault France
László Hegyi United Kingdom
John Doukas United States
Yoshinobu Hoshii Japan
Jota Oyabu Japan
Chenghui Yan China
Bin Xie China
Preeti Ahuja
Citations per year, relative to Preeti Ahuja Preeti Ahuja (= 1×) peers Bin Xie

Countries citing papers authored by Preeti Ahuja

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Ahuja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Ahuja

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Ahuja. A scholar is included among the top collaborators of Preeti Ahuja 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 Preeti Ahuja. Preeti Ahuja 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.
Sonni, Ida, Adam B. Weiner, M. S. Deol, et al.. (2024). Clinical, Pathologic, and Imaging Variables Associated with Prostate Cancer Detection by PSMA PET/CT and Multiparametric MRI. Journal of Nuclear Medicine. 65(12). jnumed.124.268443–jnumed.124.268443. 1 indexed citations
2.
3.
Hosseiny, Melina, Ely Felker, James Sayre, et al.. (2020). Efficacy of 3T Multiparametric MR Imaging followed by 3T in-Bore MR-Guided Biopsy for Detection of Clinically Significant Prostate Cancer Based on PIRADSv2.1 Score. Journal of Vascular and Interventional Radiology. 31(10). 1619–1626. 4 indexed citations
4.
Houlahan, Kathleen E., Amirali Salmasi, Aydin Pooli, et al.. (2019). Molecular Hallmarks of Multiparametric Magnetic Resonance Imaging Visibility in Prostate Cancer. European Urology. 76(1). 18–23. 46 indexed citations
5.
Shakeri, Sepideh, Sohrab Afshari Mirak, Amirhossein Mohammadian Bajgiran, et al.. (2019). The effect of tumor size and location on efficacy and safety of US- and CT- guided percutaneous microwave ablation in renal cell carcinomas. Abdominal Radiology. 44(6). 2308–2315. 13 indexed citations
6.
Nagarajan, Mahesh, Steven S. Raman, Pechin Lo, et al.. (2018). Building a high-resolution T2-weighted MR-based probabilistic model of tumor occurrence in the prostate. Abdominal Radiology. 43(9). 2487–2496. 3 indexed citations
7.
Johnson, David C., Steven S. Raman, Sohrab Afshari Mirak, et al.. (2018). Detection of Individual Prostate Cancer Foci via Multiparametric Magnetic Resonance Imaging. European Urology. 75(5). 712–720. 207 indexed citations
8.
Mirak, Sohrab Afshari, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, et al.. (2018). Three Tesla Multiparametric Magnetic Resonance Imaging: Comparison of Performance with and without Endorectal Coil for Prostate Cancer Detection, PI-RADS™ version 2 Category and Staging with Whole Mount Histopathology Correlation. The Journal of Urology. 201(3). 496–502. 22 indexed citations
9.
Bajgiran, Amirhossein Mohammadian, Sohrab Afshari Mirak, Sepideh Shakeri, et al.. (2018). Characteristics of missed prostate cancer lesions on 3T multiparametric-MRI in 518 patients: based on PI-RADSv2 and using whole-mount histopathology reference. Abdominal Radiology. 44(3). 1052–1061. 21 indexed citations
10.
Wu, Holden H., Alan Priester, Pooria Khoshnoodi, et al.. (2018). A system using patient‐specific 3D‐printed molds to spatially align in vivo MRI with ex vivo MRI and whole‐mount histopathology for prostate cancer research. Journal of Magnetic Resonance Imaging. 49(1). 270–279. 24 indexed citations
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Venugopal, N. & Preeti Ahuja. (2013). Seed germination of Panax wangianus S. C. Sun (Araliaceae): a critically endangered medicinal plant of Meghalaya, Northeast India.. 5(2). 156–160. 1 indexed citations
13.
Ahuja, Preeti, et al.. (2013). In vitro plant regeneration of grape cv. Perletle through axillary bud and shoot tip explants. Indian Journal of Horticulture. 70(2). 185–189. 1 indexed citations
14.
Ahuja, Preeti, Jonathan Wanagat, Wang Zh, et al.. (2013). Divergent Mitochondrial Biogenesis Responses in Human Cardiomyopathy. Circulation. 127(19). 1957–1967. 76 indexed citations
15.
Sleiman, Sama F., Brett Langley, Manuela Basso, et al.. (2011). Mithramycin Is a Gene-Selective Sp1 Inhibitor That Identifies a Biological Intersection between Cancer and Neurodegeneration. Journal of Neuroscience. 31(18). 6858–6870. 111 indexed citations
16.
Venugopal, N. & Preeti Ahuja. (2011). Relationship between age, size, fecundity and climatic factors in Panax wangianus an endangered medicinal plant in the sacred grove forest of North-East India. Journal of Forestry Research. 22(3). 427–435. 4 indexed citations
17.
Ahuja, Preeti, Ekaterini Angelis, Hongmei Ruan, et al.. (2010). Myc controls transcriptional regulation of cardiac metabolism and mitochondrial biogenesis in response to pathological stress in mice. Journal of Clinical Investigation. 120(5). 1494–1505. 123 indexed citations
18.
Ahuja, Preeti, Patima Sdek, & W. Robb MacLellan. (2007). Cardiac Myocyte Cell Cycle Control in Development, Disease, and Regeneration. Physiological Reviews. 87(2). 521–544. 440 indexed citations
19.
Ahuja, Preeti, Evelyne Perriard, Thierry Pedrazzini, et al.. (2007). Re-expression of proteins involved in cytokinesis during cardiac hypertrophy. Experimental Cell Research. 313(6). 1270–1283. 36 indexed citations
20.
Ahuja, Preeti, Evelyne Perriard, William S. Trimble, Jean‐Claude Perriard, & Elisabeth Ehler. (2006). Probing the role of septins in cardiomyocytes. Experimental Cell Research. 312(9). 1598–1609. 18 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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