Shweta Kumar

1.8k total citations · 1 hit paper
47 papers, 1.2k citations indexed

About

Shweta Kumar is a scholar working on Surgery, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Shweta Kumar has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Biomedical Engineering and 8 papers in Epidemiology. Recurrent topics in Shweta Kumar's work include 3D Printing in Biomedical Research (9 papers), Antibiotic Use and Resistance (8 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Shweta Kumar is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), Antibiotic Use and Resistance (8 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Shweta Kumar collaborates with scholars based in United States, India and Australia. Shweta Kumar's co-authors include Binata Joddar, Matthew Alonzo, Nishat Tasnim, Nagalingam R. Sundaresan, Brian B. Roman, Danish Khan, Mohsen Sarikhani, Perumal Arumugam Desingu, Nick Ortiz and Laura J. Suggs and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Shweta Kumar

45 papers receiving 1.2k citations

Hit Papers

Brucellosis: epidemiology, pathogenesis, diagnosis and tr... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shweta Kumar United States 17 510 236 225 199 199 47 1.2k
Fen Chen China 20 179 0.4× 362 1.5× 192 0.9× 128 0.6× 130 0.7× 87 1.4k
María Jesús Lamas Spain 20 237 0.5× 150 0.6× 98 0.4× 138 0.7× 58 0.3× 74 1.2k
Dan Lacroix Canada 14 289 0.6× 339 1.4× 276 1.2× 46 0.2× 261 1.3× 28 1.3k
Muhammad M. Mohiuddin United States 26 507 1.0× 526 2.2× 2.0k 9.0× 211 1.1× 207 1.0× 119 3.0k
Yidong Wang China 28 354 0.7× 973 4.1× 242 1.1× 139 0.7× 115 0.6× 73 2.4k
Paula G. Miller United States 17 602 1.2× 198 0.8× 112 0.5× 30 0.2× 76 0.4× 37 1.0k
Narisato Kanamura Japan 24 368 0.7× 359 1.5× 247 1.1× 44 0.2× 88 0.4× 99 1.7k
Paulo Emílio Corrêa Leite Brazil 20 312 0.6× 243 1.0× 146 0.6× 20 0.1× 129 0.6× 53 1.1k
Benjie Wang China 23 477 0.9× 317 1.3× 1.1k 4.8× 27 0.1× 386 1.9× 115 2.3k
Thiago Antônio Moretti de Andrade Brazil 21 232 0.5× 228 1.0× 155 0.7× 33 0.2× 259 1.3× 75 1.5k

Countries citing papers authored by Shweta Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Shweta Kumar. A scholar is included among the top collaborators of Shweta Kumar 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 Shweta Kumar. Shweta Kumar 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.
Kumar, Shweta, et al.. (2024). Experience of rigorous practice of antimicrobial stewardship program and its impact on antibiotic consumption. Journal of Laboratory Physicians. 16. 320–327.
3.
Kumar, Shweta, Ayush Gupta, Tadepalli Karuna, et al.. (2023). Point Prevalence Study (PPS) of Antibiotic Usage and Bacterial Culture Rate (BCR) among Secondary Care Hospitals of Small Cities in Central India: Consolidating Indian Evidence. SHILAP Revista de lepidopterología. 15(2). 259–263. 4 indexed citations
4.
Qureshi, Kamal A., Adil Parvez, Shweta Kumar, et al.. (2023). Brucellosis: epidemiology, pathogenesis, diagnosis and treatment–a comprehensive review. Annals of Medicine. 55(2). 2295398–2295398. 91 indexed citations breakdown →
7.
Garg, Rahul, Shweta Kumar, Gyanendra Singh, et al.. (2022). Clinico–Epidemio-Microbiological Exploratory Review Among COVID-19 Patients with Secondary Infection in Central India. Infection and Drug Resistance. Volume 15. 1667–1676. 2 indexed citations
8.
Roman, Brian B., Shweta Kumar, Shane C. Allen, et al.. (2021). A Model for Studying the Biomechanical Effects of Varying Ratios of Collagen Types I and III on Cardiomyocytes. Cardiovascular Engineering and Technology. 12(3). 311–324. 7 indexed citations
9.
Garg, Rahul, Gyanendra Singh, Shweta Kumar, et al.. (2021). Impact of an Anti-Microbial Stewardship Program on Targeted Antimicrobial Therapy in a Tertiary Care Health Care Institute in Central India. Cureus. 13(10). e18517–e18517. 7 indexed citations
10.
Alonzo, Matthew, et al.. (2020). Bone tissue engineering techniques, advances, and scaffolds for treatment of bone defects. Current Opinion in Biomedical Engineering. 17. 100248–100248. 179 indexed citations
11.
Alonzo, Matthew, et al.. (2020). Methods for histological characterization of cryo-induced myocardial infarction in a rat model. Acta Histochemica. 122(7). 151624–151624. 6 indexed citations
12.
Kumar, Shweta, et al.. (2020). Association of anthropometric variables with dyslipidemia in obesity. National Journal of Physiology Pharmacy and Pharmacology. 1–1. 2 indexed citations
13.
Alonzo, Matthew, et al.. (2020). Hydrogel scaffolds with elasticity-mimicking embryonic substrates promote cardiac cellular network formation. Progress in Biomaterials. 9(3). 125–137. 14 indexed citations
14.
Kumar, Shweta, A. K. Chaubey, & Ude Shankar. (2019). Volume and Mass of Sediments and Crystalline Crust Beneath the Arabian Basin, North-West Indian Ocean. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
15.
Kumar, Shweta, et al.. (2019). Fabrication of Surfactant-Dispersed HiPco Single-Walled Carbon Nanotube-Based Alginate Hydrogel Composites as Cellular Products. International Journal of Molecular Sciences. 20(19). 4802–4802. 16 indexed citations
16.
Kumar, Shweta, Matthew Alonzo, Shane C. Allen, et al.. (2019). A Visible Light-Cross-Linkable, Fibrin–Gelatin-Based Bioprinted Construct with Human Cardiomyocytes and Fibroblasts. ACS Biomaterials Science & Engineering. 5(9). 4551–4563. 76 indexed citations
17.
Kumar, Shweta, Nishat Tasnim, Shane C. Allen, et al.. (2018). A Comparative Study of a 3D Bioprinted Gelatin-Based Lattice and Rectangular-Sheet Structures. Gels. 4(3). 73–73. 16 indexed citations
18.
Mishra, Sneha, Mohsen Sarikhani, Perumal Arumugam Desingu, et al.. (2018). Subcutaneous Ehrlich Ascites Carcinoma mice model for studying cancer-induced cardiomyopathy. Scientific Reports. 8(1). 5599–5599. 110 indexed citations
19.
Sarikhani, Mohsen, Sangeeta Maity, Sneha Mishra, et al.. (2018). SIRT2 deacetylase represses NFAT transcription factor to maintain cardiac homeostasis. Journal of Biological Chemistry. 293(14). 5281–5294. 71 indexed citations
20.
Kumar, Shweta, et al.. (2014). Pouch adenomas in Familial Adenomatous Polyposis after restorative proctocolectomy. International Journal of Surgery. 13. 133–136. 13 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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