Akshay Goel

568 total citations
20 papers, 304 citations indexed

About

Akshay Goel is a scholar working on Surgery, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Akshay Goel has authored 20 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 6 papers in Genetics and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Akshay Goel's work include Genetic and Kidney Cyst Diseases (6 papers), Orthopaedic implants and arthroplasty (5 papers) and MRI in cancer diagnosis (5 papers). Akshay Goel is often cited by papers focused on Genetic and Kidney Cyst Diseases (6 papers), Orthopaedic implants and arthroplasty (5 papers) and MRI in cancer diagnosis (5 papers). Akshay Goel collaborates with scholars based in United States, India and Canada. Akshay Goel's co-authors include Tony T. Wong, Simukayi Mutasa, Kevin Ong, Arthur L. Malkani, Edmund Lau, Daniel J. Berry, Victoria L. Mango, Martin R. Prince, Aditya Aggarwal and Bishan Radotra and has published in prestigious journals such as Journal of Magnetic Resonance Imaging, The Journal of Arthroplasty and International Orthopaedics.

In The Last Decade

Akshay Goel

18 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akshay Goel United States 8 153 85 57 46 40 20 304
Wadim Wojciechowski Poland 11 113 0.7× 62 0.7× 60 1.1× 10 0.2× 15 0.4× 59 382
Marcelo Straus Takahashi Brazil 11 86 0.6× 38 0.4× 38 0.7× 10 0.2× 47 1.2× 27 250
Nihal M. Batouty Egypt 11 106 0.7× 95 1.1× 17 0.3× 10 0.2× 71 1.8× 37 299
Vanessa Brébant Germany 11 186 1.2× 27 0.3× 40 0.7× 27 0.6× 13 0.3× 42 293
Shirley Potter Ireland 11 140 0.9× 34 0.4× 40 0.7× 9 0.2× 22 0.6× 32 288
Jae Hyuck Yi South Korea 9 280 1.8× 96 1.1× 17 0.3× 12 0.3× 109 2.7× 16 547
Rohan Jagtap United States 9 28 0.2× 39 0.5× 63 1.1× 31 0.7× 45 1.1× 37 304
Adam Spandorfer United States 8 116 0.8× 174 2.0× 179 3.1× 11 0.2× 24 0.6× 10 336
Katharina Ziegeler Germany 13 161 1.1× 62 0.7× 97 1.7× 6 0.1× 11 0.3× 70 509
Anne Eva J. Bulstra Netherlands 9 148 1.0× 50 0.6× 36 0.6× 68 1.5× 75 1.9× 16 300

Countries citing papers authored by Akshay Goel

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Goel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshay Goel

This figure shows the co-authorship network connecting the top 25 collaborators of Akshay Goel. A scholar is included among the top collaborators of Akshay Goel 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 Akshay Goel. Akshay Goel 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
2.
Chevalier, James M., Akshay Goel, George Shih, et al.. (2024). Deep learning-based liver cyst segmentation in MRI for autosomal dominant polycystic kidney disease. PubMed. 1(2). umae014–umae014. 3 indexed citations
3.
Goel, Akshay, et al.. (2023). Effect of Averaging Measurements From Multiple MRI Pulse Sequences on Kidney Volume Reproducibility in Autosomal Dominant Polycystic Kidney Disease. Journal of Magnetic Resonance Imaging. 58(4). 1153–1160. 5 indexed citations
4.
Shih, George, James M. Chevalier, Jon D. Blumenfeld, et al.. (2023). Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning. Academic Radiology. 31(3). 889–899. 5 indexed citations
6.
Chevalier, James M., Jon D. Blumenfeld, Yi Wang, et al.. (2023). Clinical Quality Control of MRI Total Kidney Volume Measurements in Autosomal Dominant Polycystic Kidney Disease. Tomography. 9(4). 1341–1355. 5 indexed citations
7.
Goel, Akshay, et al.. (2023). Ankylosing spondylitis substantially increases health-care costs and length of hospital stay following total hip arthroplasty – National in-patient database study. Journal of Clinical Orthopaedics and Trauma. 39. 102151–102151. 5 indexed citations
8.
Goel, Akshay, George Shih, Sunil Jeph, et al.. (2022). Deployed Deep Learning Kidney Segmentation for Polycystic Kidney Disease MRI. Radiology Artificial Intelligence. 4(2). e210205–e210205. 36 indexed citations
10.
Goel, Akshay, Jon D. Blumenfeld, James M. Chevalier, et al.. (2022). Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease. Tomography. 8(4). 1804–1819. 18 indexed citations
11.
Tripathy, Sujit Kumar, et al.. (2021). Dual-Plating in Distal Femur Fracture: A Systematic Review and Limited Meta-analysis. Indian Journal of Orthopaedics. 56(2). 183–207. 23 indexed citations
12.
Goel, Akshay, et al.. (2021). A useful technique of using anterior cruciate ligament reconstruction jig for preparing patellar tunnel in surgical repair of extensor tendon ruptures. Annals of The Royal College of Surgeons of England. 103(2). 142–143. 1 indexed citations
13.
Mutasa, Simukayi, et al.. (2020). Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification. Journal of Digital Imaging. 33(5). 1209–1217. 76 indexed citations
14.
Mango, Victoria L., et al.. (2019). Breast MRI screening for average‐risk women: A monte carlo simulation cost–benefit analysis. Journal of Magnetic Resonance Imaging. 49(7). e216–e221. 27 indexed citations
15.
Goel, Akshay, Edmund Lau, Kevin Ong, Daniel J. Berry, & Arthur L. Malkani. (2014). Dislocation Rates Following Primary Total Hip Arthroplasty Have Plateaued in the Medicare Population. The Journal of Arthroplasty. 30(5). 743–746. 54 indexed citations
16.
Aggarwal, Aditya, Akshay Goel, & Bishan Radotra. (2013). Predictors of Posterior Cruciate Ligament Degeneration in Osteoarthritic Knees. Journal of orthopaedic surgery. 21(1). 15–18. 15 indexed citations
17.
Dhillon, Mandeep Singh, Akshay Goel, Sharad Prabhakar, Sameer Aggarwal, & Vikas Bachhal. (2012). Tuberculosis of the elbow: A clinicoradiological analysis. Indian Journal of Orthopaedics. 46(2). 200–205. 16 indexed citations
18.
Gupta, Ravi Kumar, et al.. (2010). Treatment options for osteochondral defects. Journal of Clinical Orthopaedics and Trauma. 1(1). 16–22. 2 indexed citations
19.
Dhillon, Mandeep Singh, et al.. (2009). Giant osteochondral body in a popliteal cyst. Indian Journal of Orthopaedics. 43(1). 93–93. 3 indexed citations
20.
Goel, Akshay, et al.. (2007). Calcanisation of tibia using Ilizarov fixator in crush injuries of hindfoot: a new method. International Orthopaedics. 32(6). 779–784. 6 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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