Paushali Chaudhury

460 total citations
9 papers, 290 citations indexed

About

Paushali Chaudhury is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Paushali Chaudhury has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Materials Chemistry. Recurrent topics in Paushali Chaudhury's work include Bacterial Genetics and Biotechnology (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Enzyme Structure and Function (5 papers). Paushali Chaudhury is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Enzyme Structure and Function (5 papers). Paushali Chaudhury collaborates with scholars based in Germany, United States and United Kingdom. Paushali Chaudhury's co-authors include Sonja‐Verena Albers, Tessa E. F. Quax, John A. Tainer, Ankan Banerjee, Janet Vonck, A.S. Arvai, Chris van der Does, Chi-Lin Tsai, Annett Bellack and Reinhard Rachel and has published in prestigious journals such as Molecular Microbiology, eLife and Structure.

In The Last Decade

Paushali Chaudhury

9 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paushali Chaudhury Germany	8	238	111	99	48	45	9	290
N Pende Austria	7	154 0.6×	69 0.6×	90 0.9×	11 0.2×	12 0.3×	11	231
Ulrike Ruppert Germany	7	319 1.3×	57 0.5×	89 0.9×	41 0.9×	44 1.0×	7	380
Aitana Neves Switzerland	7	143 0.6×	38 0.3×	72 0.7×	11 0.2×	6 0.1×	10	257
Mohammad A. Siddiq United States	7	274 1.2×	150 1.4×	106 1.1×	26 0.5×	21 0.5×	11	430
Sonja Offner Germany	7	298 1.3×	114 1.0×	206 2.1×	16 0.3×	19 0.4×	8	330
Mariam T. Webber-Birungi Netherlands	6	417 1.8×	33 0.3×	45 0.5×	129 2.7×	20 0.4×	7	469
Mark K. Ashby United Kingdom	12	442 1.9×	51 0.5×	104 1.1×	73 1.5×	13 0.3×	13	475
Urko del Castillo United States	11	256 1.1×	34 0.3×	100 1.0×	55 1.1×	49 1.1×	20	474
Amanda Starling-Windhof Germany	5	235 1.0×	19 0.2×	102 1.0×	8 0.2×	38 0.8×	5	365
Mary Sarcina United Kingdom	8	339 1.4×	23 0.2×	37 0.4×	73 1.5×	12 0.3×	12	376

Countries citing papers authored by Paushali Chaudhury

Since Specialization

Citations

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

Fields of papers citing papers by Paushali Chaudhury

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paushali Chaudhury

This figure shows the co-authorship network connecting the top 25 collaborators of Paushali Chaudhury. A scholar is included among the top collaborators of Paushali Chaudhury 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 Paushali Chaudhury. Paushali Chaudhury 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

Chaudhury, Paushali, et al.. (2021). Autophosphorylation of the KaiC‐like protein ArlH inhibits oligomerization and interaction with ArlI, the motor ATPase of the archaellum. Molecular Microbiology. 116(3). 943–956. 7 indexed citations

Tsai, Chi-Lin, Changyi Zhang, Marta Rodríguez‐Franco, et al.. (2019). The structure of the periplasmic FlaG–FlaF complex and its essential role for archaellar swimming motility. Nature Microbiology. 5(1). 216–225. 27 indexed citations

Chaudhury, Paushali, Chris van der Does, & Sonja‐Verena Albers. (2018). Characterization of the ATPase FlaI of the motor complex of the Pyrococcus furiosus archaellum and its interactions between the ATP-binding protein FlaH. PeerJ. 6. e4984–e4984. 12 indexed citations

Chaudhury, Paushali, et al.. (2018). Expression, Purification, and Assembly of Archaellum Subcomplexes of Sulfolobus acidocaldarius. Methods in molecular biology. 307–314. 3 indexed citations

Daum, Bertram, Janet Vonck, Annett Bellack, et al.. (2017). Structure and in situ organisation of the Pyrococcus furiosus archaellum machinery. eLife. 6. 64 indexed citations

Schmelling, Nicolas, Robert Lehmann, Paushali Chaudhury, et al.. (2017). Minimal tool set for a prokaryotic circadian clock. BMC Evolutionary Biology. 17(1). 169–169. 46 indexed citations

Chaudhury, Paushali, Tessa E. F. Quax, & Sonja‐Verena Albers. (2017). Versatile cell surface structures of archaea. Molecular Microbiology. 107(3). 298–311. 44 indexed citations

Banerjee, Ankan, Chi-Lin Tsai, Paushali Chaudhury, et al.. (2015). FlaF Is a β-Sandwich Protein that Anchors the Archaellum in the Archaeal Cell Envelope by Binding the S-Layer Protein. Structure. 23(5). 863–872. 48 indexed citations

Chaudhury, Paushali, Edoardo D’Imprima, Ankan Banerjee, et al.. (2015). The nucleotide‐dependent interaction of FlaH and FlaI is essential for assembly and function of the archaellum motor. Molecular Microbiology. 99(4). 674–685. 39 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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