D. Thirumal Kumar

2.4k total citations
106 papers, 1.8k citations indexed

About

D. Thirumal Kumar is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, D. Thirumal Kumar has authored 106 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 14 papers in Physiology and 13 papers in Infectious Diseases. Recurrent topics in D. Thirumal Kumar's work include Lysosomal Storage Disorders Research (10 papers), Computational Drug Discovery Methods (9 papers) and Biochemical and Molecular Research (8 papers). D. Thirumal Kumar is often cited by papers focused on Lysosomal Storage Disorders Research (10 papers), Computational Drug Discovery Methods (9 papers) and Biochemical and Molecular Research (8 papers). D. Thirumal Kumar collaborates with scholars based in India, Qatar and Saudi Arabia. D. Thirumal Kumar's co-authors include C. George Priya Doss, Hatem Zayed, Siva Ramamoorthy, S. Udhaya Kumar, P. Sneha, R. Magesh, Salma Younes, Chiranjib Chakraborty, Hridya Hemachandran and Iftikhar Aslam Tayubi and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

D. Thirumal Kumar

98 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Thirumal Kumar India 29 982 199 175 144 143 106 1.8k
Daman Saluja India 26 1.2k 1.3× 189 0.9× 106 0.6× 79 0.5× 112 0.8× 153 2.5k
Lan Luo China 31 1.7k 1.7× 162 0.8× 174 1.0× 149 1.0× 93 0.7× 114 2.9k
Junsoo Park South Korea 26 763 0.8× 131 0.7× 80 0.5× 59 0.4× 93 0.7× 83 1.8k
Magdalena Górska‐Ponikowska Poland 24 989 1.0× 464 2.3× 135 0.8× 157 1.1× 281 2.0× 88 2.8k
Jia‐Long Fang United States 26 1.0k 1.1× 102 0.5× 79 0.5× 97 0.7× 178 1.2× 56 2.4k
Marek Samec Slovakia 31 1.4k 1.4× 149 0.7× 73 0.4× 248 1.7× 104 0.7× 68 2.8k
Raghu Sinha United States 31 1.0k 1.0× 167 0.8× 70 0.4× 124 0.9× 204 1.4× 77 2.4k
Vincenza Dolce Italy 34 2.1k 2.1× 238 1.2× 177 1.0× 68 0.5× 97 0.7× 84 3.2k
Iain Gardner United Kingdom 28 987 1.0× 97 0.5× 135 0.8× 67 0.5× 232 1.6× 94 2.9k
Shi‐Jun Yue China 32 2.1k 2.1× 221 1.1× 60 0.3× 138 1.0× 131 0.9× 139 3.5k

Countries citing papers authored by D. Thirumal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by D. Thirumal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Thirumal Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of D. Thirumal Kumar. A scholar is included among the top collaborators of D. Thirumal 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 D. Thirumal Kumar. D. Thirumal 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
2.
Kumar, D. Thirumal, et al.. (2024). Evaluating Natural Compounds as Inhibitors of Lipopolysaccharide Biosynthesis in Acinetobacter baumannii: A Comprehensive Method Employing Molecular Docking and Dynamics Simulations. Journal of Computational Biophysics and Chemistry. 24(7). 861–884. 1 indexed citations
3.
Sharma, Geetika, et al.. (2024). Evaluation of Withania somnifera based supplement for immunomodulatory and antiviral properties against viral infection. Journal of Ayurveda and Integrative Medicine. 15(5). 100955–100955. 4 indexed citations
4.
Kumar, S. Udhaya, et al.. (2023). A new horizon in the phosphorylated sites of AGA: the structural impact of C163S mutation in aspartylglucosaminuria through molecular dynamics simulation. Journal of Biomolecular Structure and Dynamics. 42(8). 4313–4324.
7.
Kumar, S. Udhaya, et al.. (2023). Molecular characterization of circadian gene expression and its correlation with survival percentage in colorectal cancer patients. Advances in protein chemistry and structural biology. 137. 161–180. 1 indexed citations
8.
Kumar, S. Udhaya, et al.. (2023). Identification of dysregulated canonical pathways associated with pathogenesis and progression of Amyotrophic Lateral Sclerosis—An integrated bioinformatics approach. Advances in protein chemistry and structural biology. 134. 21–52. 2 indexed citations
9.
Kumar, D. Thirumal, et al.. (2022). Elucidating the mutational impact in causing Niemann–Pick disease type C: anin silicoapproach. Journal of Biomolecular Structure and Dynamics. 41(17). 8561–8570. 2 indexed citations
10.
Hemachandran, Hridya, et al.. (2021). Accumulation of betacyanin in Hylocereus undatus rind: Pigment stability analysis and its role in xanthine oxidase inhibition. Phytomedicine Plus. 2(1). 100197–100197. 11 indexed citations
11.
Kumar, S. Udhaya, et al.. (2021). Comparison of potential inhibitors and targeting fat mass and obesity‐associated protein causing diabesity through docking and molecular dynamics strategies. Journal of Cellular Biochemistry. 122(11). 1625–1638. 14 indexed citations
12.
Kumar, S. Udhaya, Nikita Jain, D. Thirumal Kumar, et al.. (2021). A review of novel coronavirus disease (COVID-19): based on genomic structure, phylogeny, current shreds of evidence, candidate vaccines, and drug repurposing. 3 Biotech. 11(4). 198–198. 17 indexed citations
13.
Kumar, S. Udhaya, D. Thirumal Kumar, Salma Younes, et al.. (2021). Molecular dynamics, residue network analysis, and cross-correlation matrix to characterize the deleterious missense mutations in GALE causing galactosemia III. Cell Biochemistry and Biophysics. 79(2). 201–219. 32 indexed citations
14.
Chai, Tsun‐Thai, Kah Yaw Ee, D. Thirumal Kumar, Fazilah Abd Manan, & Fai‐Chu Wong. (2020). Plant Bioactive Peptides: Current Status and Prospects Towards Use on Human Health. Protein and Peptide Letters. 28(6). 623–642. 28 indexed citations
15.
Ragupathi, Naveen Kumar Devanga, Dhiviya Prabaa Muthuirulandi Sethuvel, Shalini Anandan, et al.. (2020). First hybrid complete genome of Aeromonas veronii reveals chromosome-mediated novel structural variant mcr-3.30 from a human clinical sample. Access Microbiology. 2(4). acmi000103–acmi000103. 17 indexed citations
16.
Kumar, S. Udhaya, et al.. (2020). Mutational landscape of K-Ras substitutions at 12th position-a systematic molecular dynamics approach. Journal of Biomolecular Structure and Dynamics. 40(4). 1571–1585. 28 indexed citations
17.
Kumar, D. Thirumal, Siva Ramamoorthy, Iftikhar Aslam Tayubi, et al.. (2018). Computational and modeling approaches to understand the impact of the Fabry's disease causing mutation (D92Y) on the interaction with pharmacological chaperone 1-deoxygalactonojirimycin (DGJ). Advances in protein chemistry and structural biology. 114. 341–407. 12 indexed citations
18.
Kumar, D. Thirumal, et al.. (2018). A comparative computational approach toward pharmacological chaperones (NN-DNJ and ambroxol) on N370S and L444P mutations causing Gaucher's disease. Advances in protein chemistry and structural biology. 114. 315–339. 30 indexed citations
19.
Sneha, P., et al.. (2017). Probing the Protein–Protein Interaction Network of Proteins Causing Maturity Onset Diabetes of the Young. Advances in protein chemistry and structural biology. 110. 167–202. 11 indexed citations
20.

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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