Indira Padmalayam

699 citations
22 papers · 536 indexed · h-index 13
Topics
Bartonella species infections research (7 papers)Toxin Mechanisms and Immunotoxins (4 papers)Microtubule and mitosis dynamics (3 papers)

In The Last Decade

Indira Padmalayam

22 papers receiving 526 citations

Peers

Indira Padmalayam
Comparison fields: 5 of 75
  • Molecular Biology 245
  • Parasitology 110
  • Cell Biology 98
  • Infectious Diseases 67
  • Biochemistry 62
Replace Margarete Digel with:
Margarete Digel Germany
Cecília J. G. de Almeida Brazil
H L Shear United States
Mathieu Blanc United Kingdom
Kosj Yamoah United States
Maïka S. Deffieu France
Wei-Jian Zhang United States
Hanna G. Budayeva United States
E Xiaofei United States
David R. Webb United States
Indira Padmalayam relative to Margarete Digel Germany Margarete Digel's profile →
Citations per field
00.5×1.5×2.0×
Margarete Digel · 1×
Citations per year

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
#WorkIndexed citations
1 20
2 10
3 37
4 83
5
The heat shock response: its role in pathogenesis of type 2 diabetes and its complications, and implications for therapeutic intervention.
15
6 33
7 11
8 54
9 21
10 2
11 67
12 3
13 2
14 12
15 43
16 12
17 20
18 42
19 6
20 11

About Indira Padmalayam

Indira Padmalayam is a scholar working on Parasitology, Biochemistry and Cell Biology, having authored 22 papers that have together received 536 indexed citations. Recurring topics across this work include Bartonella species infections research (7 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Parasitology (110 citations), Virology (42 citations) and Biochemistry (62 citations). Indira Padmalayam has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Barbara R. Baumstark, Mark J. Suto, Ling Zhai, Sivaram Pillarisetti, Sumera N. Hasham, Uday Saxena, Robert F. Massung, Wenyan Lü, Rebecca J. Boohaker and Yonghe Li. Their work appears in journals such as Diabetes, Biochemical Journal and Journal of Bacteriology.

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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