Tejaswini Deshmukh

467 total citations
10 papers, 298 citations indexed

About

Tejaswini Deshmukh is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Tejaswini Deshmukh has authored 10 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Tejaswini Deshmukh's work include Functional Brain Connectivity Studies (2 papers), Neurological disorders and treatments (1 paper) and Genomics and Rare Diseases (1 paper). Tejaswini Deshmukh is often cited by papers focused on Functional Brain Connectivity Studies (2 papers), Neurological disorders and treatments (1 paper) and Genomics and Rare Diseases (1 paper). Tejaswini Deshmukh collaborates with scholars based in United States, India and Lebanon. Tejaswini Deshmukh's co-authors include Daniel F. Broderick, Bharathi Jagadeesan, Tabassum A. Kennedy, Joel S. Perlmutter, Amanda S. Corey, Nandini Patel, Judah Burns, Bruno Policeni, Rebecca S. Cornelius and Matthew T. Whitehead and has published in prestigious journals such as Medical Clinics of North America, Prenatal Diagnosis and Skeletal Radiology.

In The Last Decade

Tejaswini Deshmukh

9 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tejaswini Deshmukh United States 7 113 96 89 53 45 10 298
Steven G. Roth United States 11 134 1.2× 88 0.9× 143 1.6× 39 0.7× 7 0.2× 46 358
Zachary Hubbard United States 10 201 1.8× 31 0.3× 39 0.4× 29 0.5× 73 1.6× 33 284
A.E. Beris Greece 9 177 1.6× 127 1.3× 101 1.1× 6 0.1× 43 1.0× 10 290
Ajinkya A. Rane United States 11 205 1.8× 49 0.5× 42 0.5× 11 0.2× 15 0.3× 25 392
G Pinelli France 8 152 1.3× 43 0.4× 16 0.2× 57 1.1× 38 0.8× 36 354
J Dolenský United States 4 109 1.0× 73 0.8× 47 0.5× 14 0.3× 22 0.5× 5 339
Daniel Alsoof United States 12 356 3.2× 229 2.4× 110 1.2× 12 0.2× 23 0.5× 71 544
Lori A. Boyajian-O’Neill United States 5 81 0.7× 24 0.3× 51 0.6× 96 1.8× 60 1.3× 13 304
Sinem Sarı Türkiye 10 169 1.5× 45 0.5× 38 0.4× 8 0.2× 44 1.0× 34 316
Aaron Hockley Canada 9 131 1.2× 54 0.6× 26 0.3× 111 2.1× 10 0.2× 24 363

Countries citing papers authored by Tejaswini Deshmukh

Since Specialization
Citations

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

Fields of papers citing papers by Tejaswini Deshmukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejaswini Deshmukh

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

All Works

10 of 10 papers shown
1.
Zhang, Jian, Ke Yan, Erwin Cabacungan, et al.. (2024). Prediction of short- and long-term outcomes using pre-operative ventricular size in infants with post-hemorrhagic ventricular dilation. Child s Nervous System. 40(7). 2061–2069.
2.
Walsh, Ryan D., et al.. (2023). Attaining Diagnostic Excellence. Medical Clinics of North America. 108(1). 1–14. 3 indexed citations
3.
Maheshwari, Mohit, Tejaswini Deshmukh, Eric C. Leuthardt, & Joshua S. Shimony. (2021). Task-based and Resting State Functional MRI in Children. Magnetic Resonance Imaging Clinics of North America. 29(4). 527–541. 2 indexed citations
4.
Deshmukh, Tejaswini, et al.. (2020). Predictive Efficacy of Pediatric Logistic Organ Dysfunction-2 Score in Pediatric Intensive Care Unit of Rural Hospital. Indian Journal of Critical Care Medicine. 24(8). 701–704. 7 indexed citations
5.
Jagadeesan, Bharathi, Daniel F. Broderick, Judah Burns, et al.. (2017). ACR Appropriateness Criteria ® Cerebrovascular Disease. Journal of the American College of Radiology. 14(5). S34–S61. 66 indexed citations
6.
Patel, Nandini, Daniel F. Broderick, Judah Burns, et al.. (2016). ACR Appropriateness Criteria Low Back Pain. Journal of the American College of Radiology. 13(9). 1069–1078. 146 indexed citations
7.
Naffaa, Lena, et al.. (2016). Imaging of Acute Pelvic Pain in Girls: Ovarian Torsion and Beyond ☆. Current Problems in Diagnostic Radiology. 46(4). 317–329. 22 indexed citations
8.
Wippold, Franz J., Douglas Brown, Daniel F. Broderick, et al.. (2015). ACR Appropriateness Criteria Dementia and Movement Disorders. Journal of the American College of Radiology. 12(1). 19–28. 16 indexed citations
9.
Sanghvi, Darshana, Veena R. Iyer, Tejaswini Deshmukh, & Sumedh S. Hoskote. (2008). MRI features of tuberculosis of the knee. Skeletal Radiology. 38(3). 267–273. 28 indexed citations
10.
Khanna, Paritosh C., et al.. (2004). Complete large bowel duplication with paraduodenal cyst: prenatal sonographic features. Prenatal Diagnosis. 24(4). 312–314. 8 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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2026