Krishna Juluru

3.4k total citations
50 papers, 1.3k citations indexed

About

Krishna Juluru is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Krishna Juluru has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Krishna Juluru's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Radiology practices and education (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Krishna Juluru is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Radiology practices and education (8 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). Krishna Juluru collaborates with scholars based in United States, United Kingdom and Canada. Krishna Juluru's co-authors include Jacek Cholewicki, Stuart M. McGill, Andrea Radebold, Manohar M. Panjabi, David R. Marker, Donna Magid, Eliot L. Siegel, Elliot K. Fishman, Pierre Elnajjar and Karen M. Horton and has published in prestigious journals such as Blood, PLoS ONE and Hepatology.

In The Last Decade

Krishna Juluru

50 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
Krishna Juluru United States 19 365 305 259 237 218 50 1.3k
David E. Fish United States 24 523 1.4× 229 0.8× 1.3k 4.9× 118 0.5× 384 1.8× 58 2.3k
Larissa Braga United States 21 522 1.4× 184 0.6× 540 2.1× 85 0.4× 182 0.8× 49 1.4k
Jean-Françis Maillefert France 24 110 0.3× 113 0.4× 582 2.2× 229 1.0× 98 0.4× 89 2.2k
Anjishnu Banerjee United States 19 213 0.6× 79 0.3× 218 0.8× 80 0.3× 425 1.9× 113 1.1k
Ann Lazar United States 23 188 0.5× 138 0.5× 288 1.1× 93 0.4× 360 1.7× 94 1.9k
R Reichle United States 17 175 0.5× 122 0.4× 491 1.9× 224 0.9× 206 0.9× 27 1.2k
Xiaoguang Cheng China 29 413 1.1× 143 0.5× 957 3.7× 507 2.1× 67 0.3× 140 2.7k
Bo He China 17 181 0.5× 72 0.2× 229 0.9× 111 0.5× 158 0.7× 61 1.2k
Gülce Askin United States 18 302 0.8× 77 0.3× 123 0.5× 46 0.2× 222 1.0× 58 1.2k
Sanjiv Sharma India 18 175 0.5× 96 0.3× 416 1.6× 131 0.6× 425 1.9× 137 1.3k

Countries citing papers authored by Krishna Juluru

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Juluru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Juluru

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Juluru. A scholar is included among the top collaborators of Krishna Juluru 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 Krishna Juluru. Krishna Juluru 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.
Maxwell, Aaron, Juan C. Camacho, Amy R. Deipolyi, et al.. (2022). Optimizing 90Y Particle Density Improves Outcomes After Radioembolization. CardioVascular and Interventional Radiology. 45(7). 958–969. 16 indexed citations
2.
Horter, Libby, et al.. (2022). Experiences of Health Departments on Community Engagement and Implementation of a COVID-19 Self-testing Program. Journal of Public Health Management and Practice. 29(4). 539–546. 4 indexed citations
3.
Juluru, Krishna, Krishna Nand Keshava Murthy, Pierre Elnajjar, et al.. (2021). Integrating Al Algorithms into the Clinical Workflow. Radiology Artificial Intelligence. 3(6). e210013–e210013. 51 indexed citations
4.
Dunbar, Andrew, Kelly L. Bolton, Sean M. Devlin, et al.. (2020). Genomic profiling identifies somatic mutations predicting thromboembolic risk in patients with solid tumors. Blood. 137(15). 2103–2113. 66 indexed citations
5.
6.
Soff, Gerald A., Jodi V. Mones, Sean M. Devlin, et al.. (2019). Rivaroxaban treatment of cancer‐associated venous thromboembolism: Memorial Sloan Kettering Cancer Center institutional experience. Research and Practice in Thrombosis and Haemostasis. 3(3). 349–356. 22 indexed citations
7.
Juluru, Krishna, Andrew H. Talal, Rhonda K. Yantiss, et al.. (2016). Diagnostic accuracy of intracellular uptake rates calculated using dynamic Gd‐EOB‐DTPA‐enhanced MRI for hepatic fibrosis stage. Journal of Magnetic Resonance Imaging. 45(4). 1177–1185. 25 indexed citations
8.
Juluru, Krishna & John Eng. (2015). Use of Spreadsheets for Research Data Collection and Preparation:. Academic Radiology. 22(12). 1592–1599. 2 indexed citations
9.
Kostandy, Petro, Elizabeth Kagan Arleo, Andrew S. Griffin, et al.. (2015). Development and Utilization of a Web-Based Application as a Robust Radiology Teaching Tool (RadStax) for Medical Student Anatomy Teaching. Academic Radiology. 22(2). 247–255. 31 indexed citations
10.
Juluru, Krishna, et al.. (2014). A Mathematical Simulation to Assess Variability in Lung Nodule Size Measurement Associated With Nodule-Slice Position. Journal of Digital Imaging. 28(3). 373–379. 1 indexed citations
11.
12.
Lee, Ser Yee, Michael A. Mooney, Krishna Juluru, et al.. (2013). Exposure to Ionizing Radiation During Liver Transplantation Evaluation, Waitlist Time, and in the Postoperative Period: A Cause for Concern. Hepatology. 59(2). 496–504. 9 indexed citations
13.
Gao, Jing, Robert J. Min, James Hamilton, et al.. (2013). Corticomedullary Strain Ratio. Journal of Ultrasound in Medicine. 32(10). 1769–1775. 27 indexed citations
14.
Criminisi, Antonio, Krishna Juluru, & Dev S. Pathak. (2011). A Discriminative-Generative Model for Detecting Intravenous Contrast in CT Images. Lecture notes in computer science. 14(Pt 3). 49–57. 5 indexed citations
15.
Marker, David R., Anshuman Bansal, Krishna Juluru, & Donna Magid. (2010). Developing a Radiology-Based Teaching Approach for Gross Anatomy in the Digital Era. Academic Radiology. 17(8). 1057–1065. 48 indexed citations
16.
Raj, Ashish & Krishna Juluru. (2009). Visualization and segmentation of liver tumors using dynamic contrast MRI. PubMed. 197928. 6985–6989. 7 indexed citations
17.
18.
Chen, Joseph J., Khan Siddiqui, Krishna Juluru, et al.. (2007). Observer success rates for identification of 3D surface reconstructed facial images and implications for patient privacy and security. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6516. 65161B–65161B. 7 indexed citations
19.
Cholewicki, Jacek, Krishna Juluru, & Stuart M. McGill. (1999). Intra-abdominal pressure mechanism for stabilizing the lumbar spine. Journal of Biomechanics. 32(1). 13–17. 234 indexed citations
20.
Cholewicki, Jacek, Krishna Juluru, Andrea Radebold, Manohar M. Panjabi, & Stuart M. McGill. (1999). Lumbar spine stability can be augmented with an abdominal belt and/or increased intra-abdominal pressure. European Spine Journal. 8(5). 388–395. 155 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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