Deepa Acharya

634 citations
9 papers · 153 indexed · h-index 4

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Microbial Metabolic Engineering and Bioproduction 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Bacterial biofilms and quorum sensing 1
    • Microbial Natural Products and Biosynthesis 5

Deepa Acharya

8 papers receiving 151 citations

Peers

Deepa Acharya
Comparison fields: 5 of 52
  • Pharmacology 47
  • Biotechnology 21
  • Molecular Biology 116
  • Biological Psychiatry 3
  • Food Science 18
Replace Florian Ryffel with:
Florian Ryffel Switzerland
Librada A. Atencio Panama
Almut Mentz Germany
Nuo Tian China
Juan J. Castillo United States
Christian Firnhaber Germany
Víctor H. Tierrafría Mexico
Yiwen Wang China
Dale A Shelton Australia
Chase M. Clark United States
Deepa Acharya relative to Florian Ryffel Switzerland Florian Ryffel's profile →
Citations per field
00.5×1.5×
Florian Ryffel · 1×
Citations per year

Countries citing papers authored by Deepa Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa Acharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepa Acharya Line = papers co-authored together Deepa Acharya links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202070
2 202149
3 202215
4 20199
5 20243
6 20183
7 20252
8 20182
9 20210

About Deepa Acharya

Deepa Acharya is a scholar working on Molecular Biology, Pharmacology, Biotechnology, Ecological Modeling and Spectroscopy, having authored 9 papers that have together received 153 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Enzyme Production and Characterization (1 paper), Species Distribution and Climate Change (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Pharmacology (47 citations), Biotechnology (21 citations), Molecular Biology (116 citations), Biological Psychiatry (3 citations) and Food Science (18 citations). Deepa Acharya has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Pieter C. Dorrestein, Qiyun Zhu, Julia M. Gauglitz, Markus Fleischauer, Rob Knight, Yoshiki Vázquez‐Baeza, Madeleine Ernst, Marcus Ludwig, Sebastian Böcker and Kai Dührkop. Their work appears in journals such as Nature Communications, ACS Synthetic Biology, Nature Chemical Biology, ACS Chemical Biology and Journal of Proteome Research.

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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