Pratiti Bhadra

851 total citations
20 papers, 580 citations indexed

About

Pratiti Bhadra is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Pratiti Bhadra has authored 20 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Pratiti Bhadra's work include RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). Pratiti Bhadra is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). Pratiti Bhadra collaborates with scholars based in Germany, India and Macao. Pratiti Bhadra's co-authors include Shirley W. I. Siu, Jielu Yan, Jinyan Li, Simon Fong, Koon Ho Wong, Ang Li, Pooja Sethiya, Volkhard Helms, Richard Zimmermann and Debnath Pal and has published in prestigious journals such as Langmuir, Scientific Reports and Biochemical Journal.

In The Last Decade

Pratiti Bhadra

18 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratiti Bhadra Germany 11 467 302 45 38 35 20 580
Henriette Mozsolits Australia 10 444 1.0× 247 0.8× 13 0.3× 18 0.5× 66 1.9× 10 511
Giorgia Manzo Italy 14 288 0.6× 254 0.8× 6 0.1× 9 0.2× 64 1.8× 22 460
Deepesh Nagarajan India 8 283 0.6× 154 0.5× 41 0.9× 6 0.2× 17 0.5× 18 368
Paola Rondón-Villarreal Colombia 9 300 0.6× 100 0.3× 57 1.3× 10 0.3× 37 1.1× 24 421
Mariela M. Marani Argentina 14 348 0.7× 162 0.5× 8 0.2× 12 0.3× 44 1.3× 35 464
Kuok Yap Australia 18 697 1.5× 89 0.3× 8 0.2× 20 0.5× 93 2.7× 36 904
Jesse S. Samuel India 3 318 0.7× 101 0.3× 48 1.1× 9 0.2× 41 1.2× 3 430
Felipe Pantoja Mesquita Brazil 12 212 0.5× 56 0.2× 29 0.6× 44 1.2× 16 0.5× 49 429
Javier Klett Spain 11 192 0.4× 32 0.1× 34 0.8× 26 0.7× 43 1.2× 18 319
Bruno Mattei Brazil 11 269 0.6× 89 0.3× 10 0.2× 17 0.4× 31 0.9× 19 456

Countries citing papers authored by Pratiti Bhadra

Since Specialization
Citations

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

Fields of papers citing papers by Pratiti Bhadra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratiti Bhadra

This figure shows the co-authorship network connecting the top 25 collaborators of Pratiti Bhadra. A scholar is included among the top collaborators of Pratiti Bhadra 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 Pratiti Bhadra. Pratiti Bhadra 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
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Murahari, Manikanta, et al.. (2024). Virtual screening and molecular fingerprinting for in silico designing of potential CCR5 inhibitors targeting HIV therapy. Journal of Biomolecular Structure and Dynamics. 44(4). 2097–2112. 1 indexed citations
4.
O’Keefe, Sarah, Pratiti Bhadra, Guanghui Zong, et al.. (2022). Synthesis, Biological Evaluation and Docking Studies of Ring-Opened Analogues of Ipomoeassin F. Molecules. 27(14). 4419–4419. 1 indexed citations
5.
Bhadra, Pratiti, Karin Römisch, & Volkhard Helms. (2022). Effect of Sec62 on the conformation of the Sec61 channel in yeast. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1864(12). 184050–184050. 3 indexed citations
6.
Lang, Sven, Duy Nguyen, Pratiti Bhadra, et al.. (2022). Signal Peptide Features Determining the Substrate Specificities of Targeting and Translocation Components in Human ER Protein Import. Frontiers in Physiology. 13. 833540–833540. 15 indexed citations
7.
Živná, Martina, Pratiti Bhadra, Veronika Barešová, et al.. (2022). Phenylbutyrate rescues the transport defect of the Sec61α mutations V67G and T185A for renin. Life Science Alliance. 5(4). e202101150–e202101150. 10 indexed citations
8.
Bhadra, Pratiti, et al.. (2021). How does Sec63 affect the conformation of Sec61 in yeast?. PLoS Computational Biology. 17(3). e1008855–e1008855. 12 indexed citations
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Bhadra, Pratiti & Volkhard Helms. (2021). Molecular Modeling of Signal Peptide Recognition by Eukaryotic Sec Complexes. International Journal of Molecular Sciences. 22(19). 10705–10705. 11 indexed citations
11.
Bhadra, Pratiti, Scott J Dos Santos, Joy Ogbechi, et al.. (2021). Mycolactone enhances the Ca2+ leak from endoplasmic reticulum by trapping Sec61 translocons in a Ca2+ permeable state. Biochemical Journal. 478(22). 4005–4024. 12 indexed citations
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Yan, Jielu, Pratiti Bhadra, Ang Li, et al.. (2020). Deep-AmPEP30: Improve Short Antimicrobial Peptides Prediction with Deep Learning. Molecular Therapy — Nucleic Acids. 20. 882–894. 192 indexed citations
14.
Bhadra, Pratiti & Shirley W. I. Siu. (2019). Refined Empirical Force Field to Model Protein–Self-Assembled Monolayer Interactions Based on AMBER14 and GAFF. Langmuir. 35(29). 9622–9633. 20 indexed citations
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Bhadra, Pratiti, Jielu Yan, Jinyan Li, Simon Fong, & Shirley W. I. Siu. (2018). AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest. Scientific Reports. 8(1). 1697–1697. 221 indexed citations
17.
Bhadra, Pratiti, et al.. (2017). Molecular Dynamics Information Improves cis-Peptide-Based Function Annotation of Proteins. Journal of Proteome Research. 16(8). 2936–2946. 3 indexed citations
18.
Bhadra, Pratiti & Debnath Pal. (2017). Pipeline for inferring protein function from dynamics using coarse-grained molecular mechanics forcefield. Computers in Biology and Medicine. 83. 134–142. 3 indexed citations
19.
Bhadra, Pratiti & Shirley W. I. Siu. (2017). Comparison of Biomolecular Force Fields for Alkanethiol Self-Assembled Monolayer Simulations. The Journal of Physical Chemistry C. 121(47). 26340–26349. 15 indexed citations
20.
Bhadra, Pratiti & Debnath Pal. (2014). De novoinference of protein function from coarse-grained dynamics. Proteins Structure Function and Bioinformatics. 82(10). 2443–2454. 6 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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