Subhadra Dravida

558 total citations
10 papers, 423 citations indexed

About

Subhadra Dravida is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Subhadra Dravida has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Subhadra Dravida's work include Corneal Surgery and Treatments (4 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Corneal surgery and disorders (2 papers). Subhadra Dravida is often cited by papers focused on Corneal Surgery and Treatments (4 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Corneal surgery and disorders (2 papers). Subhadra Dravida collaborates with scholars based in India, Canada and Sweden. Subhadra Dravida's co-authors include May Griffith, Fengfu Li, Mitchell A. Watsky, Neil Lagali, Per Fagerholm, Naoshi Shinozaki, Réjean Munger, Kimberley Merrett, J. C. Scaiano and Belinda Heyne and has published in prestigious journals such as Biomaterials, Investigative Ophthalmology & Visual Science and European Journal of Medicinal Chemistry.

In The Last Decade

Subhadra Dravida

9 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhadra Dravida India 5 313 203 122 60 58 10 423
Pallavi Deshpande United Kingdom 12 268 0.9× 220 1.1× 110 0.9× 94 1.6× 52 0.9× 13 430
Rebekah Poh Singapore 11 416 1.3× 171 0.8× 49 0.4× 42 0.7× 30 0.5× 18 532
Santiago Medialdea Spain 5 159 0.5× 88 0.4× 114 0.9× 58 1.0× 21 0.4× 6 286
V. Justin France 11 286 0.9× 182 0.9× 141 1.2× 109 1.8× 43 0.7× 15 503
Taizo Sumide Japan 4 344 1.1× 224 1.1× 70 0.6× 49 0.8× 36 0.6× 7 453
Bert Van den Bogerd Belgium 11 396 1.3× 185 0.9× 69 0.6× 55 0.9× 18 0.3× 18 460
Hsiao-Yun Cheng Taiwan 7 174 0.6× 124 0.6× 80 0.7× 45 0.8× 36 0.6× 7 359
Mirgholamreza Mahbod Iran 11 220 0.7× 165 0.8× 61 0.5× 30 0.5× 25 0.4× 21 443
Maria Xeroudaki Sweden 10 224 0.7× 136 0.7× 67 0.5× 49 0.8× 12 0.2× 13 401
Jingbo Liu China 11 331 1.1× 319 1.6× 112 0.9× 28 0.5× 56 1.0× 24 546

Countries citing papers authored by Subhadra Dravida

Since Specialization
Citations

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

Fields of papers citing papers by Subhadra Dravida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhadra Dravida

This figure shows the co-authorship network connecting the top 25 collaborators of Subhadra Dravida. A scholar is included among the top collaborators of Subhadra Dravida 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 Subhadra Dravida. Subhadra Dravida 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.
Goyal, Rajat, et al.. (2023). Digital Potency Measurement: A New Approach Methodology for Antisera Effective Dose Assessments. Medical Research Archives. 11(12).
2.
Dravida, Subhadra, et al.. (2022). In Vitro Profiling of Application Ready Human Surrogate Primary Progenitor Stromal Cell Fractions. Archives of Clinical and Biomedical Research. 6(3). 1 indexed citations
3.
Sivaramakrishna, Dokku, et al.. (2022). Neurotoxins Induced Toxicogenomic Patterns on Human Induced Pluripotent Stem Cell based Microphysiological System. Medical Research Archives. 10(10). 2 indexed citations
4.
Dravida, Subhadra, et al.. (2020). Targeting epithelial-mesenchymal transition - an ongoing wild goose chase. Journal of Cancer Metastasis and Treatment. 2020. 1 indexed citations
5.
Chamakuri, Srinivas, et al.. (2017). Geldanamycin-inspired compounds induce direct trans-differentiation of human mesenchymal stem cells to neurons. European Journal of Medicinal Chemistry. 135. 110–116. 6 indexed citations
6.
Dravida, Subhadra. (2012). Laser Irradiation on Human Umbilical Cord Stroma Derived Mesenchymal Stem Cells for Regenerative Medicine Applications in vitro Study. 1 indexed citations
7.
Liu, Wenguang, Kimberley Merrett, May Griffith, et al.. (2008). Recombinant human collagen for tissue engineered corneal substitutes. Biomaterials. 29(9). 1147–1158. 181 indexed citations
8.
Dravida, Subhadra, et al.. (2008). A biomimetic scaffold for culturing limbal stem cells: a promising alternative for clinical transplantation. Journal of Tissue Engineering and Regenerative Medicine. 2(5). 263–271. 69 indexed citations
9.
Merrett, Kimberley, Per Fagerholm, Christopher R. McLaughlin, et al.. (2008). Tissue-Engineered Recombinant Human Collagen-Based Corneal Substitutes for Implantation: Performance of Type I versus Type III Collagen. Investigative Ophthalmology & Visual Science. 49(9). 3887–3887. 113 indexed citations
10.
Dravida, Subhadra, et al.. (2005). The transdifferentiation potential of limbal fibroblast-like cells. Developmental Brain Research. 160(2). 239–251. 49 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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