Sandeep R. Bhave

645 total citations
11 papers, 455 citations indexed

About

Sandeep R. Bhave is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Sandeep R. Bhave has authored 11 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Sandeep R. Bhave's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Sarcoma Diagnosis and Treatment (2 papers). Sandeep R. Bhave is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Sarcoma Diagnosis and Treatment (2 papers). Sandeep R. Bhave collaborates with scholars based in United States. Sandeep R. Bhave's co-authors include D.J. Ferraro, Dinesh Thotala, Jerry J. Jaboin, Dennis E. Hallahan, A. Bapsi Chakravarthy, Lori R. Arlinghaus, Thomas E. Yankeelov, Vandana G. Abramson, Xia Li and Nkiruka C. Atuegwu and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Sandeep R. Bhave

11 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandeep R. Bhave United States	7	209	161	68	66	42	11	455
Silvia Fasanella Italy	9	152 0.7×	44 0.3×	59 0.9×	118 1.8×	13 0.3×	11	571
Hyo‐Jung Choi South Korea	11	248 1.2×	68 0.4×	45 0.7×	35 0.5×	13 0.3×	25	413
Katherine Tian United States	10	218 1.0×	139 0.9×	19 0.3×	79 1.2×	13 0.3×	14	478
Guangjing Zhu United States	11	340 1.6×	28 0.2×	49 0.7×	73 1.1×	14 0.3×	17	512
Paul Jank Germany	11	203 1.0×	25 0.2×	137 2.0×	85 1.3×	20 0.5×	37	425
Colleen Bailey Canada	12	263 1.3×	208 1.3×	13 0.2×	30 0.5×	12 0.3×	17	745
Eskandar Taghizadeh Iran	14	230 1.1×	25 0.2×	34 0.5×	85 1.3×	18 0.4×	35	492
Yanfang Pan China	13	234 1.1×	20 0.1×	224 3.3×	28 0.4×	34 0.8×	21	625
Chuanwen Fan China	16	299 1.4×	30 0.2×	287 4.2×	150 2.3×	31 0.7×	45	682
Jean‐Philippe Fortin United States	10	310 1.5×	39 0.2×	102 1.5×	31 0.5×	11 0.3×	15	449

Countries citing papers authored by Sandeep R. Bhave

Since Specialization

Citations

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

Fields of papers citing papers by Sandeep R. Bhave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep R. Bhave

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

All Works

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11 of 11 papers shown

Korpics, Mark, Mei‐Yin C. Polley, Sandeep R. Bhave, et al.. (2020). A Validated T Cell Radiomics Score Is Associated With Clinical Outcomes Following Multisite SBRT and Pembrolizumab. International Journal of Radiation Oncology*Biology*Physics. 108(1). 189–195. 17 indexed citations

Korpics, Mark, et al.. (2019). A Validated Radiomics T-cell Score Predicts Response to Multi-site SBRT Combined with Pembrolizumab. International Journal of Radiation Oncology*Biology*Physics. 105(1). S74–S74. 3 indexed citations

Luke, Jason J., Sandeep R. Bhave, Theodore Karrison, et al.. (2019). Multi-Site SBRT and Sequential Pembrolizumab: Treated Metastasis Control and Immune-Related Expression Predict Outcomes. International Journal of Radiation Oncology*Biology*Physics. 104(5). 1190–1191. 5 indexed citations

Korpics, Mark, Sandeep R. Bhave, Gage Redler, et al.. (2019). A Validated Radiomics T Cell Score Predicts Response to Multi-site SBRT Combined with Pembrolizumab. International Journal of Radiation Oncology*Biology*Physics. 104(5). 1189–1190. 2 indexed citations

Mani, Subramani, Yukun Chen, Xia Li, et al.. (2013). Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy. Journal of the American Medical Informatics Association. 20(4). 688–695. 40 indexed citations

Thotala, Dinesh, Jeffrey M. Craft, D.J. Ferraro, et al.. (2013). Cytosolic PhospholipaseA2 Inhibition with PLA-695 Radiosensitizes Tumors in Lung Cancer Animal Models. PLoS ONE. 8(7). e69688–e69688. 20 indexed citations

Bhave, Sandeep R., David Dadey, Rowan M. Karvas, et al.. (2013). Autotaxin Inhibition with PF-8380 Enhances the Radiosensitivity of Human and Murine Glioblastoma Cell Lines. Frontiers in Oncology. 3. 236–236. 47 indexed citations

Li, Xia, Lori R. Arlinghaus, Gregory D. Ayers, et al.. (2013). DCE‐MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: Pilot study findings. Magnetic Resonance in Medicine. 71(4). 1592–1602. 97 indexed citations

Bhave, Sandeep R., et al.. (2012). GSK-3: A Bifunctional Role in Cell Death Pathways. International Journal of Cell Biology. 2012. 1–11. 197 indexed citations

10.

Ferraro, D.J., Sandeep R. Bhave, Scott A. Wildman, et al.. (2012). High-throughput identification of putative receptors for cancer-binding peptides using biopanning and microarray analysis. Integrative Biology. 5(2). 342–350. 6 indexed citations

11.

Mani, Subramani, Yukun Chen, Lori R. Arlinghaus, et al.. (2011). Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.. PubMed. 2011. 868–77. 21 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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