Deepa Subramanyam

1.9k citations
34 papers · 1.4k indexed · h-index 17
Topics
Pluripotent Stem Cells Research (7 papers)MicroRNA in disease regulation (7 papers)Epigenetics and DNA Methylation (6 papers)

In The Last Decade

Deepa Subramanyam

33 papers receiving 1.4k citations

Peers

Deepa Subramanyam
Comparison fields: 5 of 104
  • Molecular Biology 1.1k
  • Cancer Research 544
  • Oncology 243
  • Surgery 92
  • Cell Biology 85
Replace Prathibha Ranganathan with:
Prathibha Ranganathan India
Karl Simin United States
Alexey Epanchintsev Germany
Markus Morkel Germany
Roberta Melchionna Italy
Katia Sampieri Italy
Mary Barbara United States
Kristina Xiao Liang Norway
María José Ruiz‐Hidalgo Spain
Chris Siebel United States
Deepa Subramanyam relative to Prathibha Ranganathan India Prathibha Ranganathan's profile →
Citations per field
00.5×1.5×2.4×
Prathibha Ranganathan · 1×
Citations per year

Countries citing papers authored by Deepa Subramanyam

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Subramanyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Subramanyam

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Subramanyam. A scholar is included among the top collaborators of Deepa Subramanyam 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 Deepa Subramanyam. Deepa Subramanyam 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 0
2 2
3 6
4 3
5 3
6 10
7 7
8 22
9
Isolation of bacteriocin producing bacteria from mango pulp and its antimicrobial activity
10
10 25
11 7
12 213
13 73
14 18
15 32
16 461
17 21
18 116
19 73
20 12

About Deepa Subramanyam

Deepa Subramanyam is a scholar working on Aging, Cell Biology and Cancer Research, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), MicroRNA in disease regulation (7 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Cancer Research (544 citations), Molecular Biology (1.1k citations) and Oncology (243 citations). Deepa Subramanyam has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Robert Blelloch, Rik Derynck, Samy Lamouille, Jason Y. Liu, Robert L. Judson, Nathan Bucay, Michael Reedijk, Srikala S. Sridhar, Sudhir Krishna and Devaveena Dey. Their work appears in journals such as Journal of Biological Chemistry, Nature Biotechnology and PLoS ONE.

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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