Sushma Pradeep

1.0k total citations
52 papers, 683 citations indexed

About

Sushma Pradeep is a scholar working on Complementary and alternative medicine, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Sushma Pradeep has authored 52 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Complementary and alternative medicine, 14 papers in Organic Chemistry and 12 papers in Computational Theory and Mathematics. Recurrent topics in Sushma Pradeep's work include Computational Drug Discovery Methods (12 papers), Medicinal Plants and Neuroprotection (10 papers) and Synthesis and biological activity (9 papers). Sushma Pradeep is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Medicinal Plants and Neuroprotection (10 papers) and Synthesis and biological activity (9 papers). Sushma Pradeep collaborates with scholars based in India, Saudi Arabia and United States. Sushma Pradeep's co-authors include Chandan Shivamallu, Shiva Prasad Kollur, Asad Syed, Shashanka K. Prasad, Anisha Jain, Ashwini Prasad, Raghavendra G. Amachawadi, Najat Marraiki, Daniel Glossman‐Mitnik and Ramith Ramu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sushma Pradeep

48 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushma Pradeep India 16 184 168 158 126 100 52 683
Bader Alshehri Saudi Arabia 18 149 0.8× 271 1.6× 82 0.5× 106 0.8× 132 1.3× 43 818
Amalia Di Petrillo Italy 11 80 0.4× 217 1.3× 68 0.4× 94 0.7× 125 1.3× 26 827
Michael J. C. Buckle Malaysia 18 94 0.5× 221 1.3× 107 0.7× 266 2.1× 122 1.2× 26 754
Peter Chinedu Agu Nigeria 9 148 0.8× 212 1.3× 46 0.3× 136 1.1× 77 0.8× 30 620
Ramakrishna Vadde India 19 191 1.0× 430 2.6× 95 0.6× 105 0.8× 206 2.1× 52 1.1k
Aziz Abdur Rahman Bangladesh 13 92 0.5× 219 1.3× 107 0.7× 104 0.8× 232 2.3× 29 724
Sanjeev Kumar Sahu India 14 64 0.3× 197 1.2× 55 0.3× 158 1.3× 89 0.9× 59 646
Satish Sardana India 18 155 0.8× 194 1.2× 54 0.3× 118 0.9× 166 1.7× 57 841
Shahenur Alam Sakib Bangladesh 12 130 0.7× 179 1.1× 128 0.8× 69 0.5× 191 1.9× 17 665
Palesa Pamela Seele South Africa 4 122 0.7× 384 2.3× 100 0.6× 106 0.8× 177 1.8× 5 877

Countries citing papers authored by Sushma Pradeep

Since Specialization
Citations

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

Fields of papers citing papers by Sushma Pradeep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushma Pradeep

This figure shows the co-authorship network connecting the top 25 collaborators of Sushma Pradeep. A scholar is included among the top collaborators of Sushma Pradeep 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 Sushma Pradeep. Sushma Pradeep 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.
Pradeep, Sushma, et al.. (2025). Radiation-Induced Fibrosis (RIF) in Head and Neck Squamous Cell Carcinoma (HNSCC): A Review. Cells. 14(24). 1969–1969.
3.
Gowtham, Hittanahallikoppal Gajendramurthy, M. Murali, Sudarshana Brijesh Singh, et al.. (2024). Secondary metabolites of Trichoderma spp. as EGFR tyrosine kinase inhibitors: Evaluation of anticancer efficacy through computational approach. PLoS ONE. 19(1). e0296010–e0296010. 5 indexed citations
4.
Pradeep, Sushma, et al.. (2023). Descriptive And Multiple Linear Regression Analysis Of Water Quality Parameters Of Vidyaranyapuram Treatment Plant: A Case Study. International Journal of Health & Allied Sciences. 12(4).
5.
Pradeep, Sushma, Devananda Devegowda, Sarana Rose Sommano, et al.. (2023). In silico examination of peptides containing selenium and ebselen Backbone To Assess Their Tumoricidal Potential. International Journal of Health & Allied Sciences. 11(2). 4 indexed citations
6.
7.
Pradeep, Sushma, Norma Flores‐Holguín, Daniel Glossman‐Mitnik, et al.. (2023). Preliminary Evaluation ofLablab purpureusPhytochemicals for Anti-BoHV-1 Activity Using In Vitro and In Silico Approaches. ACS Omega. 8(25). 22684–22697. 6 indexed citations
8.
Gowtham, Hittanahallikoppal Gajendramurthy, Faiyaz Ahmed, Sushma Pradeep, et al.. (2023). In Silico Computational Studies of Bioactive Secondary Metabolites from Wedelia trilobata against Anti-Apoptotic B-Cell Lymphoma-2 (Bcl-2) Protein Associated with Cancer Cell Survival and Resistance. Molecules. 28(4). 1588–1588. 24 indexed citations
9.
Jain, Anisha, Sushma Pradeep, Pranav Singh, et al.. (2023). Evaluating the Antimicrobial and Anti-Hemolytic Activity of Synthesized Pseudopeptide against Leptospiral Species: In Silico and In Vitro Approach. Molecules. 28(3). 1106–1106. 2 indexed citations
10.
Jain, Anisha, et al.. (2022). Computational Approach Assessing the Antibacterial Activity of Acorus calamus Against Helicobacter pylori. Letters in Applied NanoBioScience. 12(4). 91–91. 1 indexed citations
11.
Achar, Raghu Ram, Sushma Pradeep, Shashanka K. Prasad, et al.. (2022). Nanoconjugate Synthesis of Elaeocarpus ganitrus and the Assessment of Its Antimicrobial and Antiproliferative Properties. Molecules. 27(8). 2442–2442. 8 indexed citations
13.
Minocha, Tarun, Hareram Birla, Sushma Pradeep, et al.. (2022). Flavonoids as Promising Neuroprotectants and Their Therapeutic Potential against Alzheimer’s Disease. Oxidative Medicine and Cellular Longevity. 2022(1). 6038996–6038996. 71 indexed citations
14.
Kollur, Shiva Prasad, Shashanka K. Prasad, Sushma Pradeep, et al.. (2021). Luteolin-Fabricated ZnO Nanostructures Showed PLK-1 Mediated Anti-Breast Cancer Activity. Biomolecules. 11(3). 385–385. 38 indexed citations
15.
Pradeep, Sushma, Shashanka K. Prasad, Anisha Jain, et al.. (2021). Virtual screening of potential phyto-candidates as therapeutic leads against SARS-CoV-2 infection. Environmental Challenges. 4. 100136–100136. 19 indexed citations
17.
Jain, Anisha, Sushma Pradeep, Shashanka K. Prasad, et al.. (2020). In silico evaluation of flavonoids as effective antiviral agents on the spike glycoprotein of SARS-CoV-2. Saudi Journal of Biological Sciences. 28(1). 1040–1051. 81 indexed citations
18.
Kollur, Shiva Prasad, Shashanka K. Prasad, Sushma Pradeep, et al.. (2020). Phyto-Mediated Synthesis of Silver Nanoparticles Using Terminalia chebula Fruit Extract and Evaluation of Its Cytotoxic and Antimicrobial Potential. Molecules. 25(21). 5042–5042. 34 indexed citations
19.
Pradeep, Sushma, et al.. (2012). A COMPARATIVE ANTIBACTERIAL STUDY OF IXORA COCCINEA L. PLANTS WITH RED, ORANGE, PINK AND WHITE FLOWERS. Asian Journal of Pharmaceutical Research and Health Care. 4(1). 7–10. 1 indexed citations
20.
Pradeep, Sushma, et al.. (2010). Screening and characterization of L-asparaginase producing microorganisms from tulsi (Ocimum sanctum L.).. Journal of Farm Sciences. 23(4). 660–661. 5 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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