Deepa Acharya

634 total citations
9 papers, 153 citations indexed

About

Deepa Acharya is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Deepa Acharya has authored 9 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pharmacology and 2 papers in Biotechnology. Recurrent topics in Deepa Acharya's work include Microbial Natural Products and Biosynthesis (5 papers), Genomics and Phylogenetic Studies (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Deepa Acharya is often cited by papers focused on Microbial Natural Products and Biosynthesis (5 papers), Genomics and Phylogenetic Studies (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Deepa Acharya collaborates with scholars based in United States, Germany and Russia. Deepa Acharya's co-authors include Pieter C. Dorrestein, Markus Fleischauer, Qiyun Zhu, Madeleine Ernst, Yoshiki Vázquez‐Baeza, Anupriya Tripathi, Mélissa Nothias-Esposito, Asker Brejnrod, Jo Handelsman and Marcus Ludwig and has published in prestigious journals such as Nature Communications, Nature Chemical Biology and Cell Host & Microbe.

In The Last Decade

Deepa Acharya

8 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepa Acharya United States	4	116	47	21	18	15	9	153
Víctor H. Tierrafría Mexico	8	226 1.9×	71 1.5×	25 1.2×	8 0.4×	29 1.9×	14	291
Librada A. Atencio Panama	5	72 0.6×	54 1.1×	47 2.2×	7 0.4×	44 2.9×	6	150
Don D. Nguyen United States	7	216 1.9×	151 3.2×	57 2.7×	10 0.6×	43 2.9×	11	326
Money Gupta India	7	175 1.5×	117 2.5×	43 2.0×	13 0.7×	13 0.9×	11	227
Nuo Tian China	3	165 1.4×	22 0.5×	9 0.4×	18 1.0×	50 3.3×	7	268
Hok-Sau Kwong United Kingdom	5	130 1.1×	44 0.9×	3 0.1×	11 0.6×	45 3.0×	7	304
Annika Jagels Germany	6	45 0.4×	50 1.1×	21 1.0×	31 1.7×	3 0.2×	13	134
Chris S. Thomas United States	6	88 0.8×	48 1.0×	24 1.1×	14 0.8×	22 1.5×	7	151
Almut Mentz Germany	9	249 2.1×	21 0.4×	9 0.4×	23 1.3×	22 1.5×	13	357
Zerlina G. Wuisan Germany	8	72 0.6×	78 1.7×	54 2.6×	12 0.7×	21 1.4×	8	186

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-authorship network of co-authors of Deepa Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Acharya. A scholar is included among the top collaborators of Deepa Acharya 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 Acharya. Deepa Acharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Abiead, Yasin El, Deepa Acharya, Christopher J. Brown, et al.. (2025). MS-RT: A Method for Evaluating MS/MS Clustering Performance for Metabolomics Data. Journal of Proteome Research. 24(4). 1778–1790. 2 indexed citations

Madduri, Krishna, et al.. (2024). Application of a Cell-Free Synthetic Biology Platform for the Reconstitution of Teleocidin B and UK-2A Precursor Biosynthetic Pathways. ACS Synthetic Biology. 13(11). 3711–3723. 3 indexed citations

Özçam, Mustafa, Jee‐Hwan Oh, Restituto Tocmo, et al.. (2022). A secondary metabolite drives intraspecies antagonism in a gut symbiont that is inhibited by cell-wall acetylation. Cell Host & Microbe. 30(6). 824–835.e6. 15 indexed citations

Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Publisher Correction: Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 4318–4318.

Behsaz, Bahar, Edna Bode, Alexey Gurevich, et al.. (2021). Integrating genomics and metabolomics for scalable non-ribosomal peptide discovery. Nature Communications. 12(1). 3225–3225. 49 indexed citations

Tripathi, Anupriya, Yoshiki Vázquez‐Baeza, Julia M. Gauglitz, et al.. (2020). Chemically informed analyses of metabolomics mass spectrometry data with Qemistree. Nature Chemical Biology. 17(2). 146–151. 70 indexed citations

Acharya, Deepa, Ian Miller, Doug R. Braun, et al.. (2019). Omics Technologies to Understand Activation of a Biosynthetic Gene Cluster in Micromonospora sp. WMMB235: Deciphering Keyicin Biosynthesis. ACS Chemical Biology. 14(6). 1260–1270. 9 indexed citations

Braun, Doug R., Marc G. Chevrette, Deepa Acharya, et al.. (2018). Complete Genome Sequence of Dietzia sp. Strain WMMA184, a Marine Coral-Associated Bacterium. Genome Announcements. 6(5). 3 indexed citations

Braun, Doug R., Marc G. Chevrette, Deepa Acharya, et al.. (2018). Draft Genome Sequence of Micromonospora sp. Strain WMMA1996, a Marine Sponge-Associated Bacterium. Genome Announcements. 6(8). 2 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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