S. D. Telang

685 total citations
26 papers, 550 citations indexed

About

S. D. Telang is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, S. D. Telang has authored 26 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 9 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in S. D. Telang's work include Adipose Tissue and Metabolism (4 papers), Biochemical effects in animals (4 papers) and Metabolism and Genetic Disorders (3 papers). S. D. Telang is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Biochemical effects in animals (4 papers) and Metabolism and Genetic Disorders (3 papers). S. D. Telang collaborates with scholars based in India, United States and United Kingdom. S. D. Telang's co-authors include C.N. Ramchand, Prabhudas S. Patel, Pankaj Shah, Manisha H. Shah, Rahul Godawat, Rachana Sainger, Malcolm Peet, C. V. Ramakrishnan, Ganpat Vankar and Shilin N. Shukla and has published in prestigious journals such as Cancer, Analytical Biochemistry and Journal of Neurochemistry.

In The Last Decade

S. D. Telang

26 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. D. Telang India 14 257 111 64 58 50 26 550
R. van Wijk Netherlands 15 191 0.7× 92 0.8× 37 0.6× 30 0.5× 87 1.7× 30 585
Jinming Huang China 14 294 1.1× 203 1.8× 32 0.5× 39 0.7× 71 1.4× 28 902
Charles A. Bosworth United States 9 234 0.9× 293 2.6× 54 0.8× 84 1.4× 35 0.7× 9 715
Luisa Benassi Italy 18 282 1.1× 42 0.4× 138 2.2× 71 1.2× 50 1.0× 36 740
Tomoyuki Hisa Japan 13 354 1.4× 37 0.3× 59 0.9× 41 0.7× 31 0.6× 30 899
Vikas V. Dukhande United States 15 378 1.5× 42 0.4× 30 0.5× 57 1.0× 40 0.8× 41 615
Jana Hedrich Germany 11 212 0.8× 44 0.4× 29 0.5× 94 1.6× 66 1.3× 14 596
Mie Suzuki Japan 13 298 1.2× 39 0.4× 60 0.9× 39 0.7× 78 1.6× 23 944
Wensi Song United States 9 214 0.8× 121 1.1× 28 0.4× 37 0.6× 118 2.4× 9 882
Kuniaki Suzuki Japan 19 533 2.1× 46 0.4× 64 1.0× 26 0.4× 155 3.1× 54 887

Countries citing papers authored by S. D. Telang

Since Specialization
Citations

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

Fields of papers citing papers by S. D. Telang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. D. Telang

This figure shows the co-authorship network connecting the top 25 collaborators of S. D. Telang. A scholar is included among the top collaborators of S. D. Telang 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 S. D. Telang. S. D. Telang 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.
Sainger, Rachana, Franky D. Shah, S. D. Telang, Pankaj Shah, & Prabhudas S. Patel. (2009). Telomere attrition and telomerase activity are associated with GSTM1 polymorphism in oral cancer. Cancer Biomarkers. 5(4-5). 189–195. 13 indexed citations
2.
Shah, Manisha H., et al.. (2008). Serum fucosylation changes in oral cancer and oral precancerous conditions. Cancer. 113(2). 336–346. 58 indexed citations
3.
Ramchand, C.N., et al.. (2008). Isolation of genomic DNA using magnetic nanoparticles as a solid-phase support. Journal of Physics Condensed Matter. 20(20). 204153–204153. 36 indexed citations
4.
Madan, Taruna, Neel Kamal, Vijay Singh, et al.. (2008). Recombinant surfactant protein-D selectively increases apoptosis in eosinophils of allergic asthmatics and enhances uptake of apoptotic eosinophils by macrophages. International Immunology. 20(8). 993–1007. 40 indexed citations
5.
Godawat, Rahul, et al.. (2007). Activity and stability of alkaline phosphatase (ALP) immobilized onto magnetic nanoparticles (Fe3O4). Journal of Biotechnology. 131(3). 240–244. 58 indexed citations
6.
Shah, Manisha H., S. D. Telang, Pankaj Shah, & Prabhudas S. Patel. (2007). Tissue and serum α2-3- and α2-6-linkage specific sialylation changes in oral carcinogenesis. Glycoconjugate Journal. 25(3). 279–290. 52 indexed citations
7.
Telang, S. D., et al.. (2007). Extraction of DNA from agarose gel using magnetic nanoparticles (magnetite or Fe3O4). Analytical Biochemistry. 363(2). 288–290. 43 indexed citations
8.
Sainger, Rachana, S. D. Telang, Shilin N. Shukla, & Prabhudas S. Patel. (2007). Clinical significance of telomere length and associated proteins in oral cancer.. PubMed. 2. 9–19. 11 indexed citations
9.
Telang, S. D., et al.. (2006). Application of magnetic particles (Fe3O4) for isolation of genomic DNA from mammalian cells. Analytical Biochemistry. 356(2). 306–308. 42 indexed citations
10.
Sainger, Rachana, Manisha H. Shah, Amisha Desai, et al.. (2006). Clinical Significance of Serum p53 Antibodies in Oral Cancer. Tumori Journal. 92(2). 134–139. 13 indexed citations
11.
Patel, Prabhudas S., S. D. Telang, Rakesh Rawal, & Manisha H. Shah. (2005). A review of proteomics in cancer research.. PubMed. 6(2). 113–7. 7 indexed citations
12.
Peet, Malcolm, C.N. Ramchand, S. D. Telang, et al.. (1998). Association of the Ban 1 dimorphic site at the human cytosolic phospholipase A2 gene with schizophrenia. Psychiatric Genetics. 8(3). 191–192. 43 indexed citations
13.
Ramchand, C.N., et al.. (1998). Genetic differences in phospholipase A2 in control and schizophrenic population. Schizophrenia Research. 29(1-2). 128–129. 2 indexed citations
14.
Ramchand, C.N., et al.. (1998). Glutathione peroxidase (GSHPx) activity in plasma and fibroblasts from schizophrenics and control. Schizophrenia Research. 29(1-2). 103–104. 4 indexed citations
15.
Telang, S. D., et al.. (1991). Effect of corticosterone treatment on energy metabolism in rat liver mitochondria. The Journal of Steroid Biochemistry and Molecular Biology. 38(5). 587–591. 18 indexed citations
16.
Sukumaran, P. K., et al.. (1990). Thalassemia in Bombay: the role of medical genetics in developing countries.. PubMed. 68(1). 75–81. 30 indexed citations
17.
Ramakrishnan, C. V., et al.. (1988). Interaction of alcohol and protein deficiency on rat brain synaptosomal (Na+?K+)-ATPase. Neurochemical Research. 13(10). 963–966. 3 indexed citations
18.
Kumar, Krishna, et al.. (1988). Effect of Maternal Alcohol Consumption on the Lipid Composition of CNS in the Offspring. Journal of Neurochemistry. 50(5). 1346–1351. 11 indexed citations
19.
Bhave, Sanjiv V., S. D. Telang, David A. Durden, & A. V. Juorio. (1988). Effects of nutritional stress on brain tyramine concentration and dopamine turnover. Neurochemical Research. 13(6). 567–570. 2 indexed citations
20.
Telang, S. D., Gregory N. Fuller, Richard C. Wiggins, & S.J. Enna. (1984). Early Undernutrition and [3H]γ‐Aminobutyric Acid Binding in Rat Brain. Journal of Neurochemistry. 43(3). 640–645. 20 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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