Supratim Mukherjee

4.8k total citations · 2 hit papers
28 papers, 1.6k citations indexed

About

Supratim Mukherjee is a scholar working on Ecology, Molecular Biology and Plant Science. According to data from OpenAlex, Supratim Mukherjee has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 21 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Supratim Mukherjee's work include Microbial Community Ecology and Physiology (18 papers), Genomics and Phylogenetic Studies (18 papers) and Bacteriophages and microbial interactions (5 papers). Supratim Mukherjee is often cited by papers focused on Microbial Community Ecology and Physiology (18 papers), Genomics and Phylogenetic Studies (18 papers) and Bacteriophages and microbial interactions (5 papers). Supratim Mukherjee collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Supratim Mukherjee's co-authors include Nikos C. Kyrpides, Natalia Ivanova, Amrita Pati, Neha Varghese, Konstantinos T. Konstantinidis, Konstantinos Mavrommatis, T. B. K. Reddy, Marcel Huntemann, I-Min A. Chen and Dimitri Stamatis and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Supratim Mukherjee

27 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microbial species delineation using whole genome sequences

2015 503 citations Neha Varghese, Supratim Mukherjee et al. Nucleic Acids Research profile →
IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata

2022 199 citations Antônio Pedro Camargo, Stephen Nayfach et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Supratim Mukherjee United States	13	1.1k	756	300	106	103	28	1.6k
Eugene Goltsman United States	13	876 0.8×	533 0.7×	425 1.4×	109 1.0×	69 0.7×	14	1.5k
T. B. K. Reddy United States	20	1.6k 1.4×	1.1k 1.4×	588 2.0×	107 1.0×	112 1.1×	90	2.5k
Natalia Mikhailova United States	16	932 0.9×	890 1.2×	484 1.6×	83 0.8×	200 1.9×	42	1.8k
Pieter De Maayer South Africa	21	802 0.7×	634 0.8×	527 1.8×	75 0.7×	154 1.5×	51	1.7k
L.C. Reimer Germany	9	1.2k 1.1×	571 0.8×	329 1.1×	69 0.7×	73 0.7×	17	1.8k
Yuri Grechkin United States	5	1.3k 1.2×	807 1.1×	195 0.7×	152 1.4×	146 1.4×	5	1.9k
Richard L. Hahnke Germany	15	1.0k 0.9×	873 1.2×	223 0.7×	164 1.5×	85 0.8×	31	1.6k
Mathias von Jan Germany	6	1.2k 1.1×	608 0.8×	310 1.0×	73 0.7×	67 0.7×	6	1.5k
Bao‐Zhu Fang China	19	868 0.8×	790 1.0×	263 0.9×	91 0.9×	95 0.9×	104	1.4k
Hisashi Endo Japan	17	811 0.7×	1.0k 1.3×	338 1.1×	197 1.9×	46 0.4×	40	1.8k

Countries citing papers authored by Supratim Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Supratim Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supratim Mukherjee

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

All Works

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20 of 20 papers shown

Camargo, Antônio Pedro, Fotis A. Baltoumas, Simon Roux, et al.. (2025). Meta-virus resource (MetaVR): expanding the frontiers of viral diversity with 24 million uncultivated virus genomes. Nucleic Acids Research. 54(D1). D801–D812. 1 indexed citations

Eloe‐Fadrosh, Emiley A., Chris Mungall, Mark A. Miller, et al.. (2024). A Practical Approach to Using the Genomic Standards Consortium MIxS Reporting Standard for Comparative Genomics and Metagenomics. Methods in molecular biology. 2802. 587–609. 3 indexed citations

Mukherjee, Supratim, Dimitri Stamatis, Galina Ovchinnikova, et al.. (2024). Genomes OnLine Database (GOLD) v.10: new features and updates. Nucleic Acids Research. 53(D1). D989–D997. 9 indexed citations

Chuckran, Peter F., Katerina Estera‐Molina, Marcel Huntemann, et al.. (2024). Metatranscriptomes of California grassland soil microbial communities in response to rewetting. Microbiology Resource Announcements. 13(6). e0032224–e0032224. 1 indexed citations

Mukherjee, Supratim, Galina Ovchinnikova, Dimitri Stamatis, et al.. (2023). Standardized naming of microbiome samples in Genomes OnLine Database. Database. 2023. 3 indexed citations

Mukherjee, Supratim, Dimitri Stamatis, Galina Ovchinnikova, et al.. (2022). Twenty-five years of Genomes OnLine Database (GOLD): data updates and new features in v.9. Nucleic Acids Research. 51(D1). D957–D963. 51 indexed citations

Camargo, Antônio Pedro, Rafael Soares Correa de Souza, Juliana José, et al.. (2022). Plant microbiomes harbor potential to promote nutrient turnover in impoverished substrates of a Brazilian biodiversity hotspot. The ISME Journal. 17(3). 354–370. 42 indexed citations

Camargo, Antônio Pedro, Stephen Nayfach, I-Min A. Chen, et al.. (2022). IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata. Nucleic Acids Research. 51(D1). D733–D743. 199 indexed citations breakdown →

Stajich, Jason, Jeffrey R. Johansen, Marcel Huntemann, et al.. (2021). Metagenome Sequencing to Explore Phylogenomics of Terrestrial Cyanobacteria. Microbiology Resource Announcements. 10(22). e0025821–e0025821. 17 indexed citations

10.

Mukherjee, Supratim, Dimitri Stamatis, Galina Ovchinnikova, et al.. (2018). Genomes OnLine database (GOLD) v.7: updates and new features. Nucleic Acids Research. 47(D1). D649–D659. 120 indexed citations

11.

Susanti, Dwi, Eric F. Johnson, Alla Lapidus, et al.. (2017). Permanent Draft Genome Sequence of Desulfurococcus amylolyticus Strain Z-533 ^T , a Peptide and Starch Degrader Isolated from Thermal Springs in the Kamchatka Peninsula and Kunashir Island, Russia. Genome Announcements. 5(15). 2 indexed citations

12.

Choi, Dong Han, Alla Lapidus, Alex Copeland, et al.. (2017). Draft genome sequence of Marinobacterium rhizophilum CL-YJ9T (DSM 18822T), isolated from the rhizosphere of the coastal tidal-flat plant Suaeda japonica. Standards in Genomic Sciences. 12(1). 65–65. 1 indexed citations

13.

Yassin, A. F., Marcel Huntemann, Alicia Clum, et al.. (2017). Draft genome sequence of Actinotignum schaalii DSM 15541T: Genetic insights into the lifestyle, cell fitness and virulence. PLoS ONE. 12(12). e0188914–e0188914. 7 indexed citations

14.

Hahnke, Richard L., Jan P. Meier‐Kolthoff, Marina García-López, et al.. (2016). Genome-Based Taxonomic Classification of Bacteroidetes. Frontiers in Microbiology. 7. 2003–2003. 177 indexed citations

15.

Mukherjee, Supratim, Dimitri Stamatis, Galina Ovchinnikova, et al.. (2016). Genomes OnLine Database (GOLD) v.6: data updates and feature enhancements. Nucleic Acids Research. 45(D1). D446–D456. 107 indexed citations

16.

Mukherjee, Supratim, Marcel Huntemann, Natalia Ivanova, Nikos C. Kyrpides, & Amrita Pati. (2015). Large-scale contamination of microbial isolate genomes by Illumina PhiX control. Standards in Genomic Sciences. 10(1). 18–18. 106 indexed citations

17.

Petit, Elsa, Maddalena V. Coppi, Andrew C. Tolonen, et al.. (2015). Genome and Transcriptome of Clostridium phytofermentans, Catalyst for the Direct Conversion of Plant Feedstocks to Fuels. PLoS ONE. 10(6). e0118285–e0118285. 19 indexed citations

18.

Varghese, Neha, Supratim Mukherjee, Natalia Ivanova, et al.. (2015). Microbial species delineation using whole genome sequences. Nucleic Acids Research. 43(14). 6761–6771. 503 indexed citations breakdown →

19.

Mukherjee, Supratim, Alla Lapidus, Nicole Shapiro, et al.. (2015). High quality draft genome sequence and analysis of Pontibacter roseus type strain SRC-1T (DSM 17521T) isolated from muddy waters of a drainage system in Chandigarh, India. Standards in Genomic Sciences. 10(1). 8–8. 5 indexed citations

20.

Mukherjee, Supratim, Lynmarie K. Thompson, Stephen Godin, et al.. (2014). Population Level Analysis of Evolved Mutations Underlying Improvements in Plant Hemicellulose and Cellulose Fermentation by Clostridium phytofermentans. PLoS ONE. 9(1). e86731–e86731. 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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