Khushboo Bafna

1.1k total citations · 1 hit paper
17 papers, 627 citations indexed

About

Khushboo Bafna is a scholar working on Molecular Biology, Materials Chemistry and Epidemiology. According to data from OpenAlex, Khushboo Bafna has authored 17 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Materials Chemistry and 3 papers in Epidemiology. Recurrent topics in Khushboo Bafna's work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (7 papers). Khushboo Bafna is often cited by papers focused on Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (7 papers). Khushboo Bafna collaborates with scholars based in United States, Canada and India. Khushboo Bafna's co-authors include Pratul K. Agarwal, G.T. Montelione, Theresa A. Ramelot, Nicolas Doucet, Sergey Ovchinnikov, Ivan Anishchenko, Jingzhou Hao, Frank DiMaio, Lauren Carter and Tamuka M. Chidyausiku and has published in prestigious journals such as Nature, PLoS ONE and Biochemistry.

In The Last Decade

Khushboo Bafna

17 papers receiving 618 citations

Hit Papers

align trajectories

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.

De novo protein design by deep network hallucination

2021 334 citations Ivan Anishchenko, Samuel J. Pellock et al. Nature profile →

Peers

Countries citing papers authored by Khushboo Bafna

Since Specialization

Citations

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

Fields of papers citing papers by Khushboo Bafna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khushboo Bafna

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Protocol for production and purification of SARS-CoV-2 3CLpro 2023 ·STAR Protocols ·Luca Mazzei, (unknown), Khushboo Bafna, (unknown), Anna De Falco, Thomas Acton, Catherine A. Royer, Stefano Ciurli, G.T. Montelione	4
2	Conformational exchange divergence along the evolutionary pathway of eosinophil-associated ribonucleases 2023 ·Structure ·(unknown), Chitra Narayanan, Tim Hempel, Khushboo Bafna, (unknown), Myriam Létourneau, Elizabeth E. Howell, Pratul K. Agarwal, Nicolas Doucet	5
3	Structural similarities between SARS-CoV2 3CLpro and other viral proteases suggest potential lead molecules for developing broad spectrum antivirals 2022 ·Frontiers in Chemistry ·Khushboo Bafna, Christopher L. Cioffi, Robert M. Krug, G.T. Montelione	9
4	De novo protein design by deep network hallucination breakdown → 2021 ·Nature ·Ivan Anishchenko, Samuel J. Pellock, Tamuka M. Chidyausiku, Theresa A. Ramelot, Sergey Ovchinnikov, Jingzhou Hao, Khushboo Bafna, Christoffer Norn, Alex Kang, Asim K. Bera, Frank DiMaio, Lauren Carter, Cameron M. Chow, G.T. Montelione, David Baker	334
5	Hepatitis C virus drugs that inhibit SARS-CoV-2 papain-like protease synergize with remdesivir to suppress viral replication in cell culture 2021 ·Cell Reports ·Khushboo Bafna, Kris M. White, Balasubramanian Harish, Romel Rosales, Theresa A. Ramelot, Thomas Acton, Elena Moreno, Thomas Kehrer, Lisa Miorin, Catherine A. Royer, Adolfo Garcı́a-Sastre, Robert M. Krug, G.T. Montelione	59
6	Enzyme Dynamics: Looking Beyond a Single Structure 2020 ·ChemCatChem ·Pratul K. Agarwal, (unknown), Khushboo Bafna, Nicolas Doucet	35
7	Insights into Structural and Dynamical Changes Experienced by Human RNase 6 upon Ligand Binding 2020 ·Biochemistry ·Chitra Narayanan, (unknown), Myriam Létourneau, Jacinthe Gagnon, Donald Gagné, Khushboo Bafna, Charles Calmettes, Jean‐François Couture, Pratul K. Agarwal, Nicolas Doucet	6
8	Nucleotide substrate binding characterization in human pancreatic-type ribonucleases 2019 ·PLoS ONE ·Khushboo Bafna, Chitra Narayanan, (unknown), Nicolas Doucet, Pratul K. Agarwal	4
9	Ligand-Induced Variations in Structural and Dynamical Properties Within an Enzyme Superfamily 2018 ·Frontiers in Molecular Biosciences ·Chitra Narayanan, (unknown), Khushboo Bafna, Donald Gagné, Pratul K. Agarwal, Nicolas Doucet	21
10	Conservation of Dynamics Associated with Biological Function in an Enzyme Superfamily 2018 ·Structure ·Chitra Narayanan, (unknown), Khushboo Bafna, Donald Gagné, Chakra S. Chennubhotla, Nicolas Doucet, Pratul K. Agarwal	36
11	Differential Substrate Recognition by Maltose Binding Proteins Influenced by Structure and Dynamics 2018 ·Biochemistry ·(unknown), Khushboo Bafna, (unknown), Dean A. A. Myles, Pratul K. Agarwal, M.J. Cuneo	24
12	Small Angle Neutron Scattering Studies of R67 Dihydrofolate Reductase, a Tetrameric Protein with Intrinsically Disordered N-Termini 2017 ·Biochemistry ·(unknown), Michael R. Duff, Khushboo Bafna, Pratul K. Agarwal, Christopher B. Stanley, Elizabeth E. Howell	6
13	Sequence-specific backbone resonance assignments and microsecond timescale molecular dynamics simulation of human eosinophil-derived neurotoxin 2017 ·Biomolecular NMR Assignments ·Donald Gagné, Chitra Narayanan, Khushboo Bafna, (unknown), Pratul K. Agarwal, Nicolas Doucet	6
14	Applications of NMR and computational methodologies to study protein dynamics 2017 ·Archives of Biochemistry and Biophysics ·Chitra Narayanan, Khushboo Bafna, (unknown), Pratul K. Agarwal, Nicolas Doucet	25
15	Aspects of Weak Interactions between Folate and Glycine Betaine 2016 ·Biochemistry ·(unknown), Michael R. Duff, Khushboo Bafna, (unknown), Pratul K. Agarwal, Elizabeth E. Howell	7
16	Computational Structure-Based De Novo Design of Hypothetical Inhibitors against the Anti- Inflammatory Target COX-2 2015 ·PLoS ONE ·Jaspreet Kaur Dhanjal, (unknown), Khushboo Bafna, Shashank P. Katiyar, Sukriti Goyal, Abhinav Grover, Durai Sundar	27
17	The Bitter Barricading of Prostaglandin Biosynthesis Pathway: Understanding the Molecular Mechanism of Selective Cyclooxygenase-2 Inhibition by Amarogentin, a Secoiridoid Glycoside from Swertia chirayita 2014 ·PLoS ONE ·(unknown), Khushboo Bafna, Durai Sundar, (unknown)	19

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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