Puneet Sharma

1.4k total citations
43 papers, 904 citations indexed

About

Puneet Sharma is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Puneet Sharma has authored 43 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Puneet Sharma's work include Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Congenital Heart Disease Studies (4 papers). Puneet Sharma is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Congenital Heart Disease Studies (4 papers). Puneet Sharma collaborates with scholars based in United States, India and United Kingdom. Puneet Sharma's co-authors include Diego R. Martín, Alo Nag, Naveed Hussain, Kathleen McKay, Ted S. Rosenkrantz, Miriam B. Vos, Xiaoping Hu, Bobby Kalb, James R. Spivey and Kristyn Beam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Radiology.

In The Last Decade

Puneet Sharma

36 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puneet Sharma United States 16 279 273 208 193 155 43 904
Hossein Ghanaati Iran 18 119 0.4× 158 0.6× 119 0.6× 180 0.9× 248 1.6× 107 1.1k
Marie‐Luise Kromrey Germany 16 252 0.9× 282 1.0× 123 0.6× 93 0.5× 285 1.8× 54 957
Sebastien Mulé France 20 234 0.8× 648 2.4× 240 1.2× 440 2.3× 214 1.4× 80 1.4k
Roshan M. Patel United States 21 142 0.5× 166 0.6× 612 2.9× 48 0.2× 314 2.0× 126 1.4k
Claus C. Pieper Germany 22 342 1.2× 545 2.0× 285 1.4× 446 2.3× 645 4.2× 165 1.7k
Birger Mensel Germany 17 390 1.4× 255 0.9× 232 1.1× 194 1.0× 204 1.3× 49 962
G. Nadolski United States 28 307 1.1× 179 0.7× 359 1.7× 297 1.5× 1.2k 7.6× 124 2.1k
Yu-Jie Huang Taiwan 21 298 1.1× 220 0.8× 377 1.8× 292 1.5× 424 2.7× 68 1.5k
F. Pilleul France 16 197 0.7× 196 0.7× 233 1.1× 109 0.6× 406 2.6× 85 956
Frederic Carsten Schmeel Germany 23 292 1.0× 461 1.7× 143 0.7× 120 0.6× 236 1.5× 63 1.5k

Countries citing papers authored by Puneet Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Puneet Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puneet Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Puneet Sharma. A scholar is included among the top collaborators of Puneet Sharma 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 Puneet Sharma. Puneet Sharma 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.
Sharma, Puneet, Anil Palepu, Cindy Wang, et al.. (2025). Development and Validation of a Novel Deep Learning Model to Predict Pharmacologic Closure of Patent Ductus Arteriosus in Premature Infants. Journal of the American Society of Echocardiography. 38(7). 624–632.
3.
Sharma, Puneet, Cindy Wang, Dara Brodsky, et al.. (2024). Assessment of the clinical knowledge of ChatGPT-4 in neonatal-perinatal medicine: a comparative analysis with ChatGPT-3.5. Journal of Perinatology. 44(9). 1365–1366. 5 indexed citations
4.
Sharma, Puneet, Constance G. Weismann, Michael Farias, et al.. (2024). Who Still Gets Ligated? Reasons for Persistence of Surgical Ligation of the Patent Ductus Arteriosus Following Availability of Transcatheter Device Occlusion for Premature Neonates. Journal of Cardiovascular Development and Disease. 11(5). 132–132.
5.
Sharma, Puneet, et al.. (2024). Perinatal Factors Associated with Successful Pharmacologic Closure of the Patent Ductus Arteriosus in Premature Infants. Pediatric Cardiology. 46(7). 2124–2132. 2 indexed citations
6.
Beam, Kristyn, Puneet Sharma, Philip T. Levy, & Andrew L. Beam. (2023). Artificial intelligence in the neonatal intensive care unit: the time is now. Journal of Perinatology. 44(1). 131–135. 24 indexed citations
7.
Kocher, Madison, Joseph Stephenson, Pooyan Sahbaee, et al.. (2021). Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value. BMC Medicine. 19(1). 55–55. 95 indexed citations
8.
Sharma, Puneet, Lisa Wells, Gaia Rizzo, et al.. (2020). DREADD Activation of Pedunculopontine Cholinergic Neurons Reverses Motor Deficits and Restores Striatal Dopamine Signaling in Parkinsonian Rats. Neurotherapeutics. 17(3). 1120–1141. 21 indexed citations
9.
Haldis, Thomas, et al.. (2019). TCT-95 A Novel Approach to Percutaneous Removal of Right-Sided Valvular Vegetations Using Suction Filtration and Veno-Venous Bypass Circuit. Journal of the American College of Cardiology. 74(13). B95–B95. 1 indexed citations
10.
Sharma, Puneet, et al.. (2016). Tale of a multifaceted co-activator, hADA3: from embryogenesis to cancer and beyond. Open Biology. 6(9). 160153–160153. 2 indexed citations
11.
Passerini, Tiziano, Elisabeta Bădilă, Lucian Câlmâc, et al.. (2016). IMAGE-BASED COMPUTATION OF INSTANTANEOUS WAVE-FREE RATIO FROM ROUTINE CORONARY ANGIOGRAPHY: EVALUATION OF A HYBRID DECISION MAKING STRATEGY WITH FFR. Journal of the American College of Cardiology. 67(13). 328–328. 2 indexed citations
12.
Sharma, Puneet, et al.. (2015). PROCESS IMPROVEMENT BY IMPLEMENTATION OF KAIZEN AS A QUALITY TOOL WITHIN DEFINED CONSTRAINTS: A CASE STUDY IN MANUFACTURING INDUSTRY. MATTER International Journal of Science and Technology. 1(1). 182–194. 1 indexed citations
13.
Sharma, Puneet, et al.. (2013). Measurement of liver fat fraction and iron with MRI and MR spectroscopy techniques. Diagnostic and Interventional Radiology. 20(1). 17–26. 36 indexed citations
14.
Kalb, Bobby, et al.. (2013). MR Imaging for Acute Nontraumatic Abdominopelvic Pain: Rationale and Practical Considerations. Radiographics. 33(2). 313–337. 16 indexed citations
16.
Martín, Diego R., Thomas C. Lauenstein, Bobby Kalb, et al.. (2012). Liver MRI and histological correlates in chronic liver disease on multiphase gadolinium‐enhanced 3D gradient echo imaging. Journal of Magnetic Resonance Imaging. 36(2). 422–429. 17 indexed citations
18.
Sharma, Puneet, et al.. (2009). Measurement of Hepatic Lipid: High-Speed T2-Corrected Multiecho Acquisition at1H MR Spectroscopy—A Rapid and Accurate Technique. Radiology. 252(2). 568–576. 130 indexed citations
19.
Sharma, Puneet, Scott Berry, Keith Wilson, Henry W. Neale, & Aaron S. Fink. (1994). Metastatic implantation of an oral squamous-cell carcinoma at a percutaneous endoscopic gastrostomy site. Surgical Endoscopy. 8(10). 1232–1235. 37 indexed citations
20.
Sharma, Puneet, et al.. (1975). Transmission of time varying magnetic field through body tissue. Journal of Biological Physics. 3(2). 95–102. 15 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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