Nikhil Gopal

564 total citations
25 papers, 221 citations indexed

About

Nikhil Gopal is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nikhil Gopal has authored 25 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 11 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nikhil Gopal's work include Renal cell carcinoma treatment (16 papers), Renal and related cancers (10 papers) and MRI in cancer diagnosis (8 papers). Nikhil Gopal is often cited by papers focused on Renal cell carcinoma treatment (16 papers), Renal and related cancers (10 papers) and MRI in cancer diagnosis (8 papers). Nikhil Gopal collaborates with scholars based in United States and Iran. Nikhil Gopal's co-authors include Mark W. Ball, Ashkan A. Malayeri, Patricia L. Whetzel, Obi L. Griffith, Sean D. Mooney, Gregory S. Stupp, Chris Mungall, Jiwen Xin, Tim Putman and Adam Mark and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nikhil Gopal

24 papers receiving 219 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhil Gopal United States 7 123 77 48 42 28 25 221
Prag Batra United States 7 116 0.9× 70 0.9× 14 0.3× 61 1.5× 60 2.1× 9 242
Jessica Scarborough United States 8 77 0.6× 76 1.0× 56 1.2× 16 0.4× 65 2.3× 13 247
German Demidov Germany 8 77 0.6× 39 0.5× 26 0.5× 43 1.0× 42 1.5× 15 204
Laia Muixí Spain 8 84 0.7× 23 0.3× 16 0.3× 28 0.7× 17 0.6× 11 191
Hannah Kim United States 5 210 1.7× 48 0.6× 6 0.1× 28 0.7× 38 1.4× 7 288
Janusz Jaszczyński Poland 7 73 0.6× 66 0.9× 36 0.8× 30 0.7× 58 2.1× 14 213
Jiafen Gong Canada 8 80 0.7× 175 2.3× 22 0.5× 90 2.1× 18 0.6× 13 311
Mathew Wallis Australia 8 126 1.0× 27 0.4× 57 1.2× 42 1.0× 66 2.4× 18 319
Jana K. Rundle United Kingdom 3 47 0.4× 43 0.6× 69 1.4× 30 0.7× 19 0.7× 3 161
Liangfang Shen China 9 103 0.8× 37 0.5× 26 0.5× 9 0.2× 36 1.3× 21 194

Countries citing papers authored by Nikhil Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Gopal

This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Gopal. A scholar is included among the top collaborators of Nikhil Gopal 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 Nikhil Gopal. Nikhil Gopal 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.
Homayounieh, Fatemeh, Nikhil Gopal, Pooyan Sahbaee, et al.. (2024). A Prospective Study of the Diagnostic Performance of Photon-Counting CT Compared With MRI in the Characterization of Renal Masses. Investigative Radiology. 59(11). 774–781. 4 indexed citations
2.
Türkbey, Evrim, Shiva M. Singh, Nikhil Gopal, et al.. (2024). Imaging finding of renal masses associated with pathogenic variation in succinate dehydrogenase subunit B gene. Clinical Imaging. 115. 110280–110280. 1 indexed citations
3.
Anari, Pouria Yazdian, Nikhil Gopal, Nathan Lay, et al.. (2024). Kidney scoring surveillance: predictive machine learning models for clear cell renal cell carcinoma growth using MRI. Abdominal Radiology. 49(4). 1202–1209. 2 indexed citations
4.
Gopal, Nikhil, et al.. (2023). Outcomes of and indications for renal transplantation in patients with von Hippel Lindau disease. Urologic Oncology Seminars and Original Investigations. 41(12). 487.e1–487.e6. 4 indexed citations
5.
Gopal, Nikhil, Pouria Yazdian Anari, Paul Wakim, et al.. (2023). The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome. Abdominal Radiology. 49(2). 542–550. 2 indexed citations
6.
Firouzabadi, Fatemeh Dehghani, Nikhil Gopal, A Hasani, et al.. (2023). CT radiomics for differentiating fat poor angiomyolipoma from clear cell renal cell carcinoma: Systematic review and meta-analysis. PLoS ONE. 18(7). e0287299–e0287299. 6 indexed citations
7.
Gopal, Nikhil, Fatemeh Dehghani Firouzabadi, Fatemeh Homayounieh, et al.. (2023). Preoperative Renal Parenchyma Volume as a Predictor of Kidney Function Following Nephrectomy of Complex Renal Masses. European Urology Open Science. 57. 66–73. 1 indexed citations
8.
Singh, Shiva M., Fatemeh Homayounieh, Nikhil Gopal, et al.. (2023). Complications after Nephron-sparing Interventions for Renal Tumors: Imaging Findings and Management. Radiographics. 43(7). e220196–e220196. 2 indexed citations
9.
Singh, Shiva M., et al.. (2023). Treatment Strategies for Hereditary Kidney Cancer: Current Recommendations and Updates.. PubMed. 34(173). 205–220. 11 indexed citations
10.
Anari, Pouria Yazdian, Nathan Lay, Nikhil Gopal, et al.. (2022). An MRI-based radiomics model to predict clear cell renal cell carcinoma growth rate classes in patients with von Hippel-Lindau syndrome. Abdominal Radiology. 47(10). 3554–3562. 10 indexed citations
11.
Firouzabadi, Fatemeh Dehghani, Nikhil Gopal, Fatemeh Homayounieh, et al.. (2022). CT radiomics for differentiating oncocytoma from renal cell carcinomas: Systematic review and meta-analysis. Clinical Imaging. 94. 9–17. 14 indexed citations
14.
Gopal, Nikhil, Fatemeh Dehghani Firouzabadi, Pouria Yazdian Anari, et al.. (2022). Role of ultra-high b-value DWI in the imaging of hereditary leiomyomatosis and renal cell carcinoma (HLRCC). Abdominal Radiology. 48(1). 340–349. 2 indexed citations
15.
Gopal, Nikhil, Pouria Yazdian Anari, Evrim Türkbey, Elizabeth C. Jones, & Ashkan A. Malayeri. (2022). The Next Paradigm Shift in the Management of Clear Cell Renal Cancer: Radiogenomics—Definition, Current Advances, and Future Directions. Cancers. 14(3). 793–793. 13 indexed citations
16.
Ali, David, et al.. (2021). Single-Port Robotic Radical Cystectomy with Intracorporeal Bowel Diversion: Initial Experience and Review of Surgical Outcomes. Journal of Endourology. 36(2). 216–223. 8 indexed citations
18.
Gopal, Nikhil & David M. Schwalb. (2019). Isolated injury to the left distal corpus cavernosum from a through-and-through penile gunshot wound. Urology Case Reports. 27. 100918–100918. 1 indexed citations
19.
20.
Xin, Jiwen, Adam Mark, Cyrus Afrasiabi, et al.. (2016). High-performance web services for querying gene and variant annotation. Genome biology. 17(1). 91–91. 112 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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