Indira Padmalayam

699 total citations
22 papers, 536 citations indexed

About

Indira Padmalayam is a scholar working on Molecular Biology, Parasitology and Cell Biology. According to data from OpenAlex, Indira Padmalayam has authored 22 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Parasitology and 5 papers in Cell Biology. Recurrent topics in Indira Padmalayam's work include Bartonella species infections research (7 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Microtubule and mitosis dynamics (3 papers). Indira Padmalayam is often cited by papers focused on Bartonella species infections research (7 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Microtubule and mitosis dynamics (3 papers). Indira Padmalayam collaborates with scholars based in United States, India and Finland. Indira Padmalayam's co-authors include Barbara R. Baumstark, Mark J. Suto, Ling Zhai, Uday Saxena, Robert F. Massung, Sumera N. Hasham, Sivaram Pillarisetti, Rebecca J. Boohaker, Wenyan Lü and Yonghe Li and has published in prestigious journals such as Diabetes, Biochemical Journal and Journal of Bacteriology.

In The Last Decade

Indira Padmalayam

22 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indira Padmalayam United States 13 245 110 98 67 62 22 536
María M. Corvi Argentina 12 322 1.3× 140 1.3× 95 1.0× 13 0.2× 28 0.5× 23 533
Cecília J. G. de Almeida Brazil 9 200 0.8× 39 0.4× 47 0.5× 67 1.0× 40 0.6× 10 498
Gregory T. Maine United States 13 729 3.0× 60 0.5× 86 0.9× 92 1.4× 21 0.3× 16 1.1k
Markus Winterberg United Kingdom 16 174 0.7× 78 0.7× 25 0.3× 73 1.1× 24 0.4× 24 519
Dick J. H. van den Boomen United Kingdom 11 308 1.3× 27 0.2× 212 2.2× 46 0.7× 30 0.5× 12 614
Vishwaroop Mulay Australia 14 195 0.8× 148 1.3× 39 0.4× 91 1.4× 13 0.2× 14 449
David R. Webb United States 15 220 0.9× 75 0.7× 20 0.2× 84 1.3× 24 0.4× 38 822
Mathieu Blanc United Kingdom 8 350 1.4× 16 0.1× 96 1.0× 43 0.6× 25 0.4× 10 653
Joseph Fowble United States 6 213 0.9× 46 0.4× 32 0.3× 38 0.6× 29 0.5× 6 569
Min Ji Seo South Korea 18 233 1.0× 198 1.8× 64 0.7× 45 0.7× 35 0.6× 33 679

Countries citing papers authored by Indira Padmalayam

Since Specialization
Citations

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

Fields of papers citing papers by Indira Padmalayam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indira Padmalayam

This figure shows the co-authorship network connecting the top 25 collaborators of Indira Padmalayam. A scholar is included among the top collaborators of Indira Padmalayam 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 Indira Padmalayam. Indira Padmalayam 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.
Zhang, Yinfeng, Lynn Rasmussen, Indira Padmalayam, et al.. (2019). Discovery of novel inhibitors of ribosome biogenesis by innovative high throughput screening strategies. Biochemical Journal. 476(15). 2209–2219. 20 indexed citations
2.
Hassan, Sameer, et al.. (2016). Homology modeling of Homo sapiens lipoic acid synthase: Substrate docking and insights on its binding mode. Journal of Theoretical Biology. 420. 259–266. 10 indexed citations
3.
Zhang, Wei, Ling Zhai, Yimin Wang, et al.. (2016). Discovery of a novel inhibitor of kinesin-like protein KIFC1. Biochemical Journal. 473(8). 1027–1035. 37 indexed citations
4.
Padmalayam, Indira. (2015). The heat shock response: its role in pathogenesis of type 2 diabetes and its complications, and implications for therapeutic intervention.. PubMed. 18(97). 29–39. 15 indexed citations
5.
Li, Yonghe, Wenyan Lü, Dongquan Chen, et al.. (2015). KIFC1 is a novel potential therapeutic target for breast cancer. Cancer Biology & Therapy. 16(9). 1316–1322. 83 indexed citations
6.
Ananthan, Subramaniam, Surendra Kumar Saini, Judith V. Hobrath, et al.. (2014). Design, Synthesis, and Structure–Activity Relationship Studies of a Series of [4-(4-Carboxamidobutyl)]-1-arylpiperazines: Insights into Structural Features Contributing to Dopamine D3 versus D2 Receptor Subtype Selectivity. Journal of Medicinal Chemistry. 57(16). 7042–7060. 33 indexed citations
7.
Zhang, Wei, Rongbao Li, Yi‐Min Wang, et al.. (2013). Identification of the Binding Site of an Allosteric Ligand Using STD‐NMR, Docking, and CORCEMA‐ST Calculations. ChemMedChem. 8(10). 1629–1633. 11 indexed citations
8.
Padmalayam, Indira & Mark J. Suto. (2013). Role of Adiponectin in the Metabolic Syndrome: Current Perspectives on its Modulation as a Treatment Strategy. Current Pharmaceutical Design. 19(32). 5755–5763. 54 indexed citations
9.
Padmalayam, Indira. (2012). Targeting Mitochondrial Oxidative Stress Through Lipoic Acid Synthase: A Novel Strategy to Manage Diabetic Cardiovascular Disease. Cardiovascular & Hematological Agents in Medicinal Chemistry. 10(3). 223–233. 21 indexed citations
10.
Umapathy, Dhamodharan, et al.. (2012). Association ofA1538GandC2437TSingle Nucleotide Polymorphisms in Heat Shock Protein 70 Genes with Type 2 Diabetes. Laboratory Medicine. 43(6). 250–255. 2 indexed citations
11.
Padmalayam, Indira, Sumera N. Hasham, Uday Saxena, & Sivaram Pillarisetti. (2008). Lipoic Acid Synthase (LASY). Diabetes. 58(3). 600–608. 67 indexed citations
12.
Fiskus, Warren, et al.. (2003). Identification and Characterization of the DdlB , FtsQ and FtsA Genes Upstream of FtsZ in Bartonella bacilliformis and Bartonella henselae. DNA and Cell Biology. 22(11). 743–752. 3 indexed citations
13.
Padmalayam, Indira, Warren Fiskus, Robert F. Massung, & Barbara R. Baumstark. (2003). Molecular Cloning and Analysis of a Region of the Bartonella bacilliformis Genome Encoding NlpD, L-Isoaspartyl Methyltransferase and YajC Homologs. DNA and Cell Biology. 22(5). 347–353. 2 indexed citations
15.
Padmalayam, Indira, Kevin L. Karem, Robert F. Massung, & Barbara R. Baumstark. (2000). The Gene Encoding the 17-kDa Antigen of Bartonella henselae is Located within a Cluster of Genes Homologous to the virB Virulence Operon. DNA and Cell Biology. 19(6). 377–382. 43 indexed citations
17.
Padmalayam, Indira, et al.. (1997). The 75-kilodalton antigen of Bartonella bacilliformis is a structural homolog of the cell division protein FtsZ. Journal of Bacteriology. 179(14). 4545–4552. 20 indexed citations
18.
Anderson, Burt, Cynthia S. Goldsmith, Angela Johnson, Indira Padmalayam, & Barbara R. Baumstark. (1994). Bacteriophage‐like particle of Rochalimaea henselae. Molecular Microbiology. 13(1). 67–73. 42 indexed citations
19.
Padmalayam, Indira, et al.. (1991). Anthropometric studies in diabetes in the Tropics. Acta Diabetologica. 28(1). 55–60. 6 indexed citations
20.
Braganza, J. M., et al.. (1990). Xenobiotics and tropical chronic pancreatitis. International Journal of Pancreatology. 7(4). 231–245. 11 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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