Ramesh Paudyal

1.1k total citations
48 papers, 575 citations indexed

About

Ramesh Paudyal is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ramesh Paudyal has authored 48 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Materials Chemistry and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ramesh Paudyal's work include MRI in cancer diagnosis (32 papers), Advanced MRI Techniques and Applications (20 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Ramesh Paudyal is often cited by papers focused on MRI in cancer diagnosis (32 papers), Advanced MRI Techniques and Applications (20 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Ramesh Paudyal collaborates with scholars based in United States, Netherlands and Japan. Ramesh Paudyal's co-authors include Amita Shukla‐Dave, Vaios Hatzoglou, James R. Ewing, Amaresha Shridhar Konar, Hassan Bagher‐Ebadian, Nancy Y. Lee, Jung Hun Oh, Richard Kinh Gian, Tavarekere N. Nagaraja and Akash Shah and has published in prestigious journals such as NeuroImage, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Ramesh Paudyal

44 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Paudyal United States 14 411 62 61 52 51 48 575
Ka‐Loh Li United Kingdom 13 527 1.3× 51 0.8× 37 0.6× 33 0.6× 92 1.8× 26 650
D. Checkley United Kingdom 12 550 1.3× 65 1.0× 56 0.9× 40 0.8× 89 1.7× 22 711
Zhongping Chen China 10 163 0.4× 58 0.9× 56 0.9× 38 0.7× 111 2.2× 34 393
Jana Rydland Norway 13 375 0.9× 53 0.9× 34 0.6× 59 1.1× 65 1.3× 15 724
Jianye Liang China 16 312 0.8× 107 1.7× 62 1.0× 27 0.5× 34 0.7× 30 488
Changliang Su China 12 384 0.9× 34 0.5× 34 0.6× 26 0.5× 183 3.6× 21 495
Sangeeta Taneja India 13 341 0.8× 92 1.5× 21 0.3× 41 0.8× 124 2.4× 26 490
Yanqiu Feng China 13 372 0.9× 90 1.5× 127 2.1× 150 2.9× 35 0.7× 44 771
Vibeke A. Larsen Denmark 13 258 0.6× 69 1.1× 26 0.4× 27 0.5× 174 3.4× 24 535

Countries citing papers authored by Ramesh Paudyal

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Paudyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Paudyal

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Paudyal. A scholar is included among the top collaborators of Ramesh Paudyal 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 Ramesh Paudyal. Ramesh Paudyal 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.
Aliotta, Eric, Ramesh Paudyal, Milan Grkovski, et al.. (2025). Predicting and monitoring response to head and neck cancer radiotherapy using multimodality imaging and radiobiological digital twin simulations. Physics in Medicine and Biology. 70(11). 115016–115016.
2.
3.
Arita, Yuki, Thomas C. Kwee, Ramesh Paudyal, et al.. (2025). Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment. Asian journal of urology. 12(4). 434–444. 5 indexed citations
4.
Paudyal, Ramesh, Jue Jiang, James E. Han, et al.. (2024). Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images. PubMed. 1(1). ubae004–ubae004.
5.
Aliotta, Eric, Ramesh Paudyal, Amita Shukla‐Dave, et al.. (2024). Reduced-distortion diffusion weighted imaging for head and neck radiotherapy. Physics and Imaging in Radiation Oncology. 32. 100653–100653. 1 indexed citations
6.
Aliotta, Eric, Ramesh Paudyal, Bill H. Diplas, et al.. (2024). Multi-modality imaging parameters that predict rapid tumor regression in head and neck radiotherapy. Physics and Imaging in Radiation Oncology. 31. 100603–100603. 2 indexed citations
7.
Paudyal, Ramesh, Akash Shah, Oğuz Akın, et al.. (2023). Artificial Intelligence in CT and MR Imaging for Oncological Applications. Cancers. 15(9). 2573–2573. 57 indexed citations
8.
Akın, Oğuz, Ramesh Paudyal, Amaresha Shridhar Konar, et al.. (2023). Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies. Cancers. 15(22). 5468–5468. 8 indexed citations
9.
LoCastro, Eve, Ramesh Paudyal, Amaresha Shridhar Konar, et al.. (2023). A Quantitative Multiparametric MRI Analysis Platform for Estimation of Robust Imaging Biomarkers in Clinical Oncology. Tomography. 9(6). 2052–2066. 4 indexed citations
10.
Konar, Amaresha Shridhar, Akash Shah, Ramesh Paudyal, et al.. (2022). Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study. Cancers. 14(22). 5606–5606. 4 indexed citations
11.
Paudyal, Ramesh & Subarna Shakya. (2021). Secure Data Mobility in Cloud Computing for e-Governance Application. 2(1). 1–14. 2 indexed citations
12.
Shukla‐Dave, Amita, et al.. (2020). MRI of the Pancreas. Journal of Magnetic Resonance Imaging. 53(2). 347–359. 26 indexed citations
13.
LoCastro, Eve, Ramesh Paudyal, Yousef Mazaheri, et al.. (2020). Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis. Tomography. 6(2). 129–138. 20 indexed citations
14.
Riaz, Nadeem, Eric J. Sherman, Xin Pei, et al.. (2020). Genetic and micro-environmental factors influencing response to definitive 30Gy chemo-radiotherapy (chemoRT) in HPV Positive Oropharyngeal Cancer (OPC). International Journal of Radiation Oncology*Biology*Physics. 106(5). 1138–1138. 1 indexed citations
15.
Gian, Richard Kinh, Marsha Reyngold, Ramesh Paudyal, et al.. (2020). Diffusion-Weighted and Dynamic Contrast-Enhanced MRI Derived Imaging Metrics for Stereotactic Body Radiotherapy of Pancreatic Ductal Adenocarcinoma: Preliminary Findings. Tomography. 6(2). 261–271. 11 indexed citations
16.
Malyarenko, Dariya, Scott D. Swanson, Amaresha Shridhar Konar, et al.. (2019). Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom. Tomography. 5(1). 36–43. 12 indexed citations
17.
Wang, Silun, et al.. (2018). Evaluation of neuregulin-1's neuroprotection against ischemic injury in rats using diffusion tensor imaging. Magnetic Resonance Imaging. 53. 63–70. 9 indexed citations
18.
Wang, Silun, Xiaohuan Gu, Ramesh Paudyal, et al.. (2017). Longitudinal MRI evaluation of neuroprotective effects of pharmacologically induced hypothermia in experimental ischemic stroke. Magnetic Resonance Imaging. 40. 24–30. 7 indexed citations
19.
Paudyal, Ramesh, Harish Poptani, Kejia Cai, Rong Zhou, & Jerry D. Glickson. (2012). Impact of transvascular and cellular–interstitial water exchange on dynamic contrast‐enhanced magnetic resonance imaging estimates of blood to tissue transfer constant and blood plasma volume. Journal of Magnetic Resonance Imaging. 37(2). 435–444. 13 indexed citations
20.
Bagher‐Ebadian, Hassan, Rajan Jain, Siamak P. Nejad‐Davarani, et al.. (2011). Model selection for DCE‐T1 studies in glioblastoma. Magnetic Resonance in Medicine. 68(1). 241–251. 67 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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