Shivani Pahwa

1.6k total citations
36 papers, 1.2k citations indexed

About

Shivani Pahwa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Shivani Pahwa has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 7 papers in Surgery. Recurrent topics in Shivani Pahwa's work include MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced MRI Techniques and Applications (10 papers). Shivani Pahwa is often cited by papers focused on MRI in cancer diagnosis (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced MRI Techniques and Applications (10 papers). Shivani Pahwa collaborates with scholars based in United States, India and Australia. Shivani Pahwa's co-authors include Vikas Gulani, Mark A. Griswold, Yun Jiang, Dan Ma, Lee Ponsky, Debra McGivney, Sara Dastmalchian, Nicole Seiberlich, Yong Chen and Katherine Landau Wright and has published in prestigious journals such as Scientific Reports, Radiology and Journal of neurosurgery.

In The Last Decade

Shivani Pahwa

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shivani Pahwa United States 17 967 410 99 87 86 36 1.2k
Andrew N. Priest United Kingdom 27 1.2k 1.2× 573 1.4× 158 1.6× 196 2.3× 70 0.8× 97 1.8k
Fulvio Zaccagna Italy 22 824 0.9× 497 1.2× 234 2.4× 153 1.8× 72 0.8× 83 1.6k
Hongfu Sun China 23 985 1.0× 394 1.0× 204 2.1× 99 1.1× 33 0.4× 102 1.6k
Leonard Sunwoo South Korea 21 695 0.7× 303 0.7× 74 0.7× 180 2.1× 38 0.4× 72 1.2k
Ananth J. Madhuranthakam United States 25 1.3k 1.4× 315 0.8× 185 1.9× 57 0.7× 35 0.4× 90 1.8k
Kilian Weiss Germany 20 944 1.0× 204 0.5× 117 1.2× 120 1.4× 42 0.5× 105 1.5k
Tristan Anselm Kuder Germany 20 1.2k 1.3× 509 1.2× 34 0.3× 40 0.5× 51 0.6× 67 1.5k
Giuseppe Palma Italy 23 826 0.9× 434 1.1× 51 0.5× 67 0.8× 39 0.5× 80 1.3k
Mami Iima Japan 21 2.0k 2.1× 157 0.4× 83 0.8× 51 0.6× 36 0.4× 76 2.2k
Daniel Moses Australia 19 648 0.7× 758 1.8× 177 1.8× 70 0.8× 217 2.5× 81 1.4k

Countries citing papers authored by Shivani Pahwa

Since Specialization
Citations

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

Fields of papers citing papers by Shivani Pahwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivani Pahwa

This figure shows the co-authorship network connecting the top 25 collaborators of Shivani Pahwa. A scholar is included among the top collaborators of Shivani Pahwa 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 Shivani Pahwa. Shivani Pahwa 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.
Frank, Jacqueline A., Jae Woo Lee, Marilyn S. Campbell, et al.. (2024). E-049 Viz.AI implementation improves the most severe large vessel occlusions. A110.1–A110. 1 indexed citations
2.
Fraser, Justin F., et al.. (2023). Now that the door is open: an update on ischemic stroke pharmacotherapeutics for the neurointerventionalist. Journal of NeuroInterventional Surgery. 16(4). 425–428. 5 indexed citations
3.
Harp, Jordan P., Jacqueline A. Frank, Christopher J. McLouth, et al.. (2023). Inflammatory-associated proteomic predictors of cognitive outcome in subjects with ELVO treated by mechanical thrombectomy. BMC Neurology. 23(1). 214–214. 1 indexed citations
4.
Frank, Jacqueline A., Christopher J. McLouth, Amanda L. Trout, et al.. (2022). Plasma protein alterations during human large vessel stroke: A controlled comparison study. Neurochemistry International. 160. 105421–105421. 7 indexed citations
5.
McLouth, Christopher J., Keith R. Pennypacker, Jacqueline A. Frank, et al.. (2021). Alterations in Local Peri-Infarct Blood Gases in Stroke Patients Undergoing Thrombectomy. World Neurosurgery. 158. e317–e322. 8 indexed citations
6.
Hamilton, Jesse, Shivani Pahwa, Gregory O’Connor, et al.. (2020). Simultaneous Mapping of T1 and T2 Using Cardiac Magnetic Resonance Fingerprinting in a Cohort of Healthy Subjects at 1.5T. Journal of Magnetic Resonance Imaging. 52(4). 1044–1052. 31 indexed citations
7.
Ghodasara, Satyam, Yong Chen, Shivani Pahwa, et al.. (2020). Quantifying Perfusion Properties with DCE-MRI Using a Dictionary Matching Approach. Scientific Reports. 10(1). 10210–10210. 6 indexed citations
8.
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10.
Pahwa, Shivani, Hao Liu, Yong Chen, et al.. (2018). Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study. Scientific Reports. 8(1). 4990–4990. 13 indexed citations
11.
Ghodasara, Satyam, Shivani Pahwa, Sara Dastmalchian, Vikas Gulani, & Yong Chen. (2017). Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment Model. Scientific Reports. 7(1). 17502–17502. 5 indexed citations
12.
13.
Pahwa, Shivani, et al.. (2017). Cost-effectiveness of MR Imaging–guided Strategies for Detection of Prostate Cancer in Biopsy-Naive Men. Radiology. 285(1). 157–166. 61 indexed citations
14.
Badve, Chaitra, Alice Yu, Sara Dastmalchian, et al.. (2016). MR Fingerprinting of Adult Brain Tumors: Initial Experience. American Journal of Neuroradiology. 38(3). 492–499. 130 indexed citations
15.
Algohary, Ahmad, Shivani Pahwa, Vikas Gulani, et al.. (2016). Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi‐institutional study. Journal of Magnetic Resonance Imaging. 46(1). 184–193. 115 indexed citations
16.
Chen, Yong, Yun Jiang, Shivani Pahwa, et al.. (2016). MR Fingerprinting for Rapid Quantitative Abdominal Imaging. Radiology. 279(1). 278–286. 165 indexed citations
17.
Luna, Antonio, et al.. (2015). Multiparametric MR Imaging in Abdominal Malignancies. Magnetic Resonance Imaging Clinics of North America. 24(1). 157–186. 21 indexed citations
18.
Pahwa, Shivani. (2015). Multidetector computed tomography of temporomandibular joint: A road less travelled. World Journal of Clinical Cases. 3(5). 442–442. 5 indexed citations
19.
Pahwa, Shivani, et al.. (2014). Comparative evaluation of sonographic ovarian morphology of Indian women with polycystic ovary syndrome versus those of normal women. Indian Journal of Endocrinology and Metabolism. 18(2). 180–180. 2 indexed citations
20.
Garg, Ajay, Shivani Pahwa, & Nishant K. Mishra. (2010). Segmental spinal dysgenesis: A rare malformation of the spinal cord. Neurology India. 58(2). 334–334. 4 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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