Sandeep Deshmukh

654 total citations
27 papers, 415 citations indexed

About

Sandeep Deshmukh is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sandeep Deshmukh has authored 27 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sandeep Deshmukh's work include MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Surgical Simulation and Training (3 papers). Sandeep Deshmukh is often cited by papers focused on MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Surgical Simulation and Training (3 papers). Sandeep Deshmukh collaborates with scholars based in United States, India and United Kingdom. Sandeep Deshmukh's co-authors include Susan J. Littman, George Zabrecky, Andrew B. Newberg, Edith P. Mitchell, Charles J. Yeo, Mark N. Levine, Daniel Monti, Anthony J. Bazzan, Christopher G. Roth and Donald G. Mitchell and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Chromatography A.

In The Last Decade

Sandeep Deshmukh

27 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandeep Deshmukh United States 9 159 97 84 59 58 27 415
Mariateresa Pucci Italy 9 32 0.2× 51 0.5× 125 1.5× 91 1.5× 134 2.3× 17 599
Mirelle J.A.J. Huijskens Netherlands 8 151 0.9× 78 0.8× 18 0.2× 15 0.3× 63 1.1× 9 342
Frank Dellanna Germany 15 41 0.3× 17 0.2× 44 0.5× 23 0.4× 79 1.4× 41 656
Monika Kasztura Poland 14 44 0.3× 15 0.2× 41 0.5× 39 0.7× 117 2.0× 33 690
Hisakazu Shindo Japan 12 46 0.3× 16 0.2× 335 4.0× 69 1.2× 31 0.5× 54 633
Usama A. Sharaf El Din Egypt 9 84 0.5× 157 1.6× 111 1.3× 6 0.1× 152 2.6× 25 648
Zhichao Xing China 13 41 0.3× 23 0.2× 170 2.0× 52 0.9× 116 2.0× 43 466
Isolde Seiden‐Long Canada 13 23 0.1× 52 0.5× 35 0.4× 62 1.1× 154 2.7× 33 504
Kei Sawara Japan 14 47 0.3× 44 0.5× 118 1.4× 32 0.5× 31 0.5× 38 486
Huan Ma China 11 25 0.2× 41 0.4× 73 0.9× 57 1.0× 65 1.1× 32 347

Countries citing papers authored by Sandeep Deshmukh

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Deshmukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Deshmukh

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Deshmukh. A scholar is included among the top collaborators of Sandeep Deshmukh 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 Sandeep Deshmukh. Sandeep Deshmukh 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.
Cook, Tessa S., et al.. (2022). Development and Implementation of a Multisite Registry Using Structured Templates for Actionable Findings in the Kidney. Journal of the American College of Radiology. 19(5). 637–646. 2 indexed citations
2.
Meshram, Hari Shankar, et al.. (2021). A Propensity-Matched Analysis of COVID-19 in Kidney Transplant Recipients Compared With Non-Kidney Transplant Patients: A Single-Center Report From India. Experimental and Clinical Transplantation. 19(12). 1263–1270. 1 indexed citations
3.
Calio, Brian, Sandeep Deshmukh, Donald G. Mitchell, et al.. (2019). Spatial distribution of biopsy cores and the detection of intra-lesion pathologic heterogeneity. Therapeutic Advances in Urology. 11. 2078064053–2078064053. 8 indexed citations
4.
Dave, Jaydev K., et al.. (2019). Are Hemorrhagic Cysts Hyperintense Enough on T1-Weighted MRI to Be Distinguished From Renal Cell Carcinomas? A Retrospective Analysis of 204 Patients. American Journal of Roentgenology. 213(6). 1267–1273. 8 indexed citations
5.
Cox, Mougnyan, et al.. (2018). Contrast-enhanced or noncontrast CT for renal colic: utilizing urinalysis and patient history of urolithiasis to decide. Emergency Radiology. 25(5). 455–460. 13 indexed citations
6.
Deshmukh, Sandeep, et al.. (2018). Pancreatic Lymphangioma: A Case Report and Literature Review. Journal of Computer Assisted Tomography. 43(2). 242–244. 6 indexed citations
7.
Hoffman‐Censits, Jean, William Kevin Kelly, Madalina Tuluc, et al.. (2017). An exploratory study to investigate the immunomodulatory activity of radiation therapy in combination with pembrolizumab in patients with renal cell cancer.. Journal of Clinical Oncology. 35(15_suppl). e16058–e16058. 2 indexed citations
8.
Hansberry, David R., Michael E. D’Angelo, Michael D. White, et al.. (2017). Quantitative analysis of the level of readability of online emergency radiology-based patient education resources. Emergency Radiology. 25(2). 147–152. 8 indexed citations
9.
10.
Cox, Mougnyan, et al.. (2016). Acute nontraumatic splenic infarctions at a tertiary-care center: causes and predisposing factors in 123 patients. Emergency Radiology. 23(2). 155–160. 14 indexed citations
11.
Patel, Manisha J., Zhen Li, Sarah Kamel, et al.. (2016). Detection of unsuspected pelvic DVTs on abdominopelvic CT scans: a potentially life-saving diagnosis. Emergency Radiology. 24(2). 127–131. 1 indexed citations
12.
Dong, Huan, et al.. (2016). Yield of Preoperative Whole-body CT in Patients Presenting with Single Brain Malignancy:. Academic Radiology. 23(5). 600–604. 2 indexed citations
13.
Deshmukh, Sandeep, et al.. (2016). Imaging of ocular melanoma metastasis. British Journal of Radiology. 89(1065). 20160092–20160092. 27 indexed citations
14.
15.
Deshmukh, Sandeep, et al.. (2015). Selective removal of phosphate for analysis of organic acids in complex samples. Journal of Chromatography A. 1388. 1–8. 6 indexed citations
16.
Guglielmo, Flavius F., Donald G. Mitchell, Christopher G. Roth, & Sandeep Deshmukh. (2014). Hepatic MR Imaging Techniques, Optimization, and Artifacts. Magnetic Resonance Imaging Clinics of North America. 22(3). 263–282. 16 indexed citations
17.
Plötz, Thomas, Sebastian Mellor, Róisín McNaney, et al.. (2014). Automated surgical OSATS prediction from videos. SMARTech Repository (Georgia Institute of Technology). 461–464. 22 indexed citations
18.
Mitchell, Donald G., Flavius F. Guglielmo, Patrick O’Kane, et al.. (2013). Hepatocellular Carcinoma Likelihood on MRI Exams. Academic Radiology. 20(6). 694–698. 22 indexed citations
19.
Monti, Daniel, Edith P. Mitchell, Anthony J. Bazzan, et al.. (2012). Phase I Evaluation of Intravenous Ascorbic Acid in Combination with Gemcitabine and Erlotinib in Patients with Metastatic Pancreatic Cancer. PLoS ONE. 7(1). e29794–e29794. 208 indexed citations
20.
Deshpande, Aparna, et al.. (2002). Gastric cancer presenting with acute disseminated intravascular coagulation.. PubMed. 21(4). 164–5. 2 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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