Shiva K. Das

6.7k total citations · 1 hit paper
128 papers, 4.9k citations indexed

About

Shiva K. Das is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shiva K. Das has authored 128 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Radiology, Nuclear Medicine and Imaging, 68 papers in Radiation and 49 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shiva K. Das's work include Advanced Radiotherapy Techniques (67 papers), Medical Imaging Techniques and Applications (27 papers) and Effects of Radiation Exposure (22 papers). Shiva K. Das is often cited by papers focused on Advanced Radiotherapy Techniques (67 papers), Medical Imaging Techniques and Applications (27 papers) and Effects of Radiation Exposure (22 papers). Shiva K. Das collaborates with scholars based in United States, Canada and China. Shiva K. Das's co-authors include Lawrence B. Marks, Moyed Miften, Randall K. Ten Haken, X. Allen Li, Brian D. Kavanagh, Laura A. Dawson, Charlie C. Pan, F Yin, S. Zhou and Mark W. Dewhirst and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Shiva K. Das

125 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Radiation-Associated Liver Injury

2010 530 citations Brian D. Kavanagh, X. Allen Li et al. International Journal of Radiation Oncology*Biology*Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiva K. Das United States	34	2.4k	2.3k	2.1k	1.2k	574	128	4.9k
Takashi Mizowaki Japan	39	3.1k 1.3×	3.9k 1.7×	4.1k 1.9×	821 0.7×	760 1.3×	423	6.2k
Lidia Strigari Italy	38	2.2k 0.9×	1.9k 0.8×	2.3k 1.1×	482 0.4×	667 1.2×	282	5.7k
Moyed Miften United States	36	3.1k 1.3×	3.6k 1.6×	2.6k 1.2×	1.0k 0.9×	525 0.9×	141	5.0k
Dirk Verellen Belgium	43	3.4k 1.4×	4.7k 2.1×	3.6k 1.7×	938 0.8×	769 1.3×	237	6.6k
X. Allen Li United States	44	4.1k 1.7×	4.6k 2.0×	3.6k 1.7×	859 0.7×	842 1.5×	179	7.1k
Uulke A. van der Heide Netherlands	47	4.3k 1.8×	4.3k 1.9×	4.0k 1.9×	1.1k 1.0×	460 0.8×	251	7.9k
Ursula Nestle Germany	36	3.2k 1.3×	2.0k 0.9×	3.7k 1.7×	330 0.3×	433 0.8×	163	5.7k
Yasumasa Nishimura Japan	36	1.5k 0.6×	928 0.4×	2.7k 1.3×	888 0.7×	1.5k 2.6×	297	5.4k
Yasushi Nagata Japan	39	3.4k 1.4×	4.4k 1.9×	5.6k 2.6×	745 0.6×	1.2k 2.1×	397	8.3k
Max Dahele Netherlands	36	2.1k 0.9×	2.7k 1.2×	3.0k 1.4×	427 0.4×	868 1.5×	180	4.9k

Countries citing papers authored by Shiva K. Das

Since Specialization

Citations

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

Fields of papers citing papers by Shiva K. Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiva K. Das. 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 Shiva K. Das. The network helps show where Shiva K. Das may publish in the future.

Co-authorship network of co-authors of Shiva K. Das

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

All Works

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20 of 20 papers shown

Xu, Xuanang, et al.. (2024). Automatic Treatment Planning for Radiation Therapy: A Cross-Modality and Protocol Study. Advances in Radiation Oncology. 9(12). 101649–101649. 2 indexed citations

Ehler, E, Lucie M. Turcotte, Sonia Skamene, et al.. (2023). Idiopathic Pneumonitis Syndrome After Total Body Irradiation in Pediatric Patients Undergoing Myeloablative Hematopoietic Stem Cell Transplantation: A PENTEC Comprehensive Review. International Journal of Radiation Oncology*Biology*Physics. 119(2). 625–639. 6 indexed citations

Dooley, John, et al.. (2023). Augmenting Quality Assurance Measures in Treatment Review with Machine Learning in Radiation Oncology. Advances in Radiation Oncology. 8(6). 101234–101234. 2 indexed citations

Mazur, Łukasz, Lawrence B. Marks, Waldemar Karwowski, et al.. (2018). Promoting safety mindfulness: Recommendations for the design and use of simulation-based training in radiation therapy. Advances in Radiation Oncology. 3(2). 197–204. 9 indexed citations

Rankine, Leith, Ziyi Wang, Bastiaan Driehuys, et al.. (2018). Correlation of Regional Lung Ventilation and Gas Transfer to Red Blood Cells: Implications for Functional-Avoidance Radiation Therapy Planning. International Journal of Radiation Oncology*Biology*Physics. 101(5). 1113–1122. 26 indexed citations

Mavroidis, Panayiotis, Alex Price, David Fried, et al.. (2017). Dose–volume toxicity modeling for de-intensified chemo-radiation therapy for HPV-positive oropharynx cancer. Radiotherapy and Oncology. 124(2). 240–247. 25 indexed citations

Zhu, Tong, Shiva K. Das, & Terence Z. Wong. (2017). Integration of PET/MR Hybrid Imaging into Radiation Therapy Treatment. Magnetic Resonance Imaging Clinics of North America. 25(2). 377–430. 8 indexed citations

Zhao, Jing, Ellen Yorke, Ling Li, et al.. (2016). Simple Factors Associated With Radiation-Induced Lung Toxicity After Stereotactic Body Radiation Therapy of the Thorax: A Pooled Analysis of 88 Studies. International Journal of Radiation Oncology*Biology*Physics. 95(5). 1357–1366. 129 indexed citations

Bowsher, J.E., et al.. (2013). Combining multiple FDG‐PET radiotherapy target segmentation methods to reduce the effect of variable performance of individual segmentation methods. Medical Physics. 40(4). 42501–42501. 20 indexed citations

10.

Manzoor, Ashley A., Lars H. Lindner, Chelsea D. Landon, et al.. (2012). Overcoming Limitations in Nanoparticle Drug Delivery: Triggered, Intravascular Release to Improve Drug Penetration into Tumors. Cancer Research. 72(21). 5566–5575. 375 indexed citations

11.

Dewhirst, Mark W., et al.. (2010). Mathematical formulation and analysis of the nonlinear system reconstruction of the online image‐guided adaptive control of hyperthermia. Medical Physics. 37(3). 980–994. 4 indexed citations

12.

Dewhirst, Mark W., et al.. (2010). Effective learning strategies for real‐time image‐guided adaptive control of multiple‐source hyperthermia applicators. Medical Physics. 37(3). 1285–1297. 14 indexed citations

13.

Das, Shiva K.. (2009). A role for biological optimization within the current treatment planning paradigm. Medical Physics. 36(10). 4672–4682. 22 indexed citations

14.

Yu, Yuan, et al.. (2009). Control time reduction using virtual source projection for treating a leg sarcoma with nonlinear perfusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7181. 71810F–71810F. 3 indexed citations

15.

Stakhursky, Vadim, et al.. (2008). Fast temperature optimization of multi-source hyperthermia applicators with reduced-order modeling of ‘virtual sources’. Physics in Medicine and Biology. 53(6). 1619–1635. 33 indexed citations

16.

Chen, Shifeng, S. Zhou, F Yin, Lawrence B. Marks, & Shiva K. Das. (2007). Investigation of the support vector machine algorithm to predict lung radiation‐induced pneumonitis. Medical Physics. 34(10). 3808–3814. 77 indexed citations

17.

Das, Shiva K., Alan H. Baydush, S. Zhou, et al.. (2004). Predicting radiotherapy‐induced cardiac perfusion defects. Medical Physics. 32(1). 19–27. 27 indexed citations

18.

Miften, Moyed, Shiva K. Das, Min‐Ying Su, & Lawrence B. Marks. (2004). A dose-volume-based tool for evaluating and ranking IMRT treatment plans. Journal of Applied Clinical Medical Physics. 5(4). 1–14. 17 indexed citations

19.

Miften, Moyed, Shiva K. Das, Timothy D. Shafman, & Lawrence B. Marks. (2002). Optimization of a radiation source train stepping for intravascular brachytherapy. Medical Physics. 29(12). 2891–2896. 4 indexed citations

20.

Craciunescu, Oana, et al.. (2002). Fractal Reconstruction of Breast Perfusion Before and After Hyperthermia Treatments. Advances in Bioengineering. 207–211. 5 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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