Sushmitha Durgam

708 total citations
41 papers, 496 citations indexed

About

Sushmitha Durgam is a scholar working on Orthopedics and Sports Medicine, Surgery and Equine. According to data from OpenAlex, Sushmitha Durgam has authored 41 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Orthopedics and Sports Medicine, 20 papers in Surgery and 15 papers in Equine. Recurrent topics in Sushmitha Durgam's work include Tendon Structure and Treatment (27 papers), Veterinary Equine Medical Research (15 papers) and Shoulder Injury and Treatment (11 papers). Sushmitha Durgam is often cited by papers focused on Tendon Structure and Treatment (27 papers), Veterinary Equine Medical Research (15 papers) and Shoulder Injury and Treatment (11 papers). Sushmitha Durgam collaborates with scholars based in United States, Italy and Australia. Sushmitha Durgam's co-authors include Matthew C. Stewart, Allison A. Stewart, Mayandi Sivaguru, Glenn Fried, Holly C. Pondenis, Kimani C. Toussaint, Raghu Ambekar, Richard B. Evans, Michael R. Baria and David C. Flanigan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Sports Medicine and Optics Express.

In The Last Decade

Sushmitha Durgam

38 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushmitha Durgam United States 13 254 213 86 83 78 41 496
Tony W. Lin United States 8 522 2.1× 413 1.9× 27 0.3× 27 0.3× 42 0.5× 9 722
Sarah L. Pownder United States 11 116 0.5× 208 1.0× 40 0.5× 25 0.3× 158 2.0× 29 382
Sarah Duenwald-Kuehl United States 10 323 1.3× 252 1.2× 16 0.2× 14 0.2× 14 0.2× 20 504
Kouji Naruse Japan 17 210 0.8× 257 1.2× 44 0.5× 8 0.1× 146 1.9× 30 743
Jason A. Bleedorn United States 15 110 0.4× 321 1.5× 27 0.3× 57 0.7× 100 1.3× 39 579
Stephanie N. Weiss United States 12 239 0.9× 219 1.0× 10 0.1× 25 0.3× 43 0.6× 30 451
Claudia Gittel Germany 10 105 0.4× 178 0.8× 72 0.8× 72 0.9× 30 0.4× 32 393
Akikazu Ishihara United States 13 147 0.6× 186 0.9× 126 1.5× 213 2.6× 172 2.2× 25 648
Bryan J. Heard Canada 16 148 0.6× 380 1.8× 48 0.6× 15 0.2× 427 5.5× 36 707
Nobuyoshi Watanabe Japan 16 356 1.4× 602 2.8× 92 1.1× 25 0.3× 143 1.8× 36 892

Countries citing papers authored by Sushmitha Durgam

Since Specialization
Citations

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

Fields of papers citing papers by Sushmitha Durgam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushmitha Durgam

This figure shows the co-authorship network connecting the top 25 collaborators of Sushmitha Durgam. A scholar is included among the top collaborators of Sushmitha Durgam 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 Sushmitha Durgam. Sushmitha Durgam 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.
Durgam, Sushmitha. (2025). Equine Tendons and Ligaments. Veterinary Clinics of North America Equine Practice. 41(2). 227–238. 1 indexed citations
2.
3.
Dhar, Madhu, et al.. (2024). Equine bone marrow MSC ‐derived extracellular vesicles mitigate the inflammatory effects of interleukin‐1β on navicular tissues in vitro. Equine Veterinary Journal. 57(1). 232–242. 1 indexed citations
4.
Durgam, Sushmitha, et al.. (2023). Macrophage phenotype impacts in vitro equine intrasynovial deep digital flexor tenocyte matrix metalloproteinase gene expression and secretion. American Journal of Veterinary Research. 84(12). 1–8. 4 indexed citations
5.
Durgam, Sushmitha, et al.. (2023). Interleukin-6 upregulates extracellular matrix gene expression and transforming growth factor β1 activity of tendon progenitor cells. BMC Musculoskeletal Disorders. 24(1). 907–907. 9 indexed citations
6.
Durgam, Sushmitha, et al.. (2023). Interleukin-1β and methylprednisolone acetate demonstrate differential effects on equine deep digital flexor tendon and navicular bone fibrocartilage cells in vitro. American Journal of Veterinary Research. 84(4). 1–8. 4 indexed citations
7.
Purmessur, Devina, et al.. (2022). Equine peripheral blood CD14+ monocyte-derived macrophage in-vitro characteristics after GM-CSF pretreatment and LPS+IFN-γ or IL-4+IL-10 differentiation. Veterinary Immunology and Immunopathology. 255. 110534–110534. 3 indexed citations
8.
Miller, Dana L., Sushmitha Durgam, Kevin El‐Hayek, et al.. (2021). Adipose-Derived Stem Cells, Obesity, and Inflammation. American Journal of Physical Medicine & Rehabilitation. 101(9). 879–887. 11 indexed citations
9.
Durgam, Sushmitha, et al.. (2021). Zonal characterization and differential trilineage potentials of equine intrasynovial deep digital flexor tendon-derived cells. BMC Veterinary Research. 17(1). 138–138. 6 indexed citations
10.
Baria, Michael R., et al.. (2020). Platelet-Rich Plasma Content of Active Spinal Cord Injured Patients. American Journal of Physical Medicine & Rehabilitation. 100(7). 651–655. 2 indexed citations
11.
Durgam, Sushmitha, et al.. (2020). Quantitative Assessment of Tendon Hierarchical Structure by Combined Second Harmonic Generation and Immunofluorescence Microscopy. Tissue Engineering Part C Methods. 26(5). 253–262. 7 indexed citations
12.
Baria, Michael R., W. Kelton Vasileff, James Borchers, et al.. (2020). Percutaneous ultrasonic tenotomy effectively debrides tendons of the extensor mechanism of the knee: A technical note. The Knee. 27(3). 649–655. 5 indexed citations
13.
Durgam, Sushmitha, et al.. (2020). In vitro Effects of Methylprednisolone Acetate on Equine Deep Digital Flexor Tendon-Derived Cells. Frontiers in Veterinary Science. 7. 486–486. 4 indexed citations
14.
Durgam, Sushmitha & Matthew C. Stewart. (2017). Cellular and Molecular Factors Influencing Tendon Repair. Tissue Engineering Part B Reviews. 23(4). 307–317. 20 indexed citations
15.
Durgam, Sushmitha, et al.. (2016). Differential Adhesion Selection for Enrichment of Tendon-Derived Progenitor Cells During In Vitro Culture. Tissue Engineering Part C Methods. 22(8). 801–808. 10 indexed citations
16.
Chen, Yuwen, et al.. (2015). Effect of Fibroblast Growth Factor 2 on Equine Synovial Fluid Chondroprogenitor Expansion and Chondrogenesis. Stem Cells International. 2016(1). 9364974–9364974. 14 indexed citations
17.
Sivaguru, Mayandi, et al.. (2013). Imaging horse tendons using multimodal 2-photon microscopy. Methods. 66(2). 256–267. 12 indexed citations
18.
Durgam, Sushmitha, et al.. (2011). Comparison of equine tendon- and bone marrow–derived cells cultured on tendon matrix with or without insulin-like growth factor-I supplementation. American Journal of Veterinary Research. 73(1). 153–161. 36 indexed citations
19.
20.
Stewart, Allison A., et al.. (2011). Evaluation of experimentally induced injury to the superficial digital flexor tendon in horses by use of low-field magnetic resonance imaging and ultrasonography. American Journal of Veterinary Research. 72(6). 791–798. 12 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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