Avijit Chakrabartty

9.4k citations

100 papers · 7.3k indexed · 1 hit paper · h-index 46

Neurology top 0.5%
- Amyotrophic Lateral Sclerosis Research 17
- Neurological diseases and metabolism 9
Physiology top 1%
- Alzheimer's disease research and treatments 28
Molecular Biology top 1%
- Protein Structure and Dynamics 20
- Prion Diseases and Protein Misfolding 16
- RNA and protein synthesis mechanisms 9
Biomaterials top 1%
Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 17
- Neurological diseases and metabolism 9
Computational Theory and Mathematics
- Computational Drug Discovery Methods 10
Genetics
- Neurogenetic and Muscular Disorders Research 8

Co-authors: Robert L. Baldwin JoAnne McLaurin Tanja Kortemme Paul E. Fraser Rishi Rakhit Christopher M. Yip Neil R. Cashman Andrew J. Doig
Cited by: Neurology Physiology Molecular Biology
Partner nations: Canada United States Spain

In The Last Decade

Avijit Chakrabartty

100 papers receiving 7.2k citations

Hit Papers

align trajectories log scale

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.

1994 Helix propensities of the amino acids measured in alanine‐based peptides without helix‐stabilizing side‐chain interactions

Peers

Countries citing papers authored by Avijit Chakrabartty

Since Specialization

Citations

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

Fields of papers citing papers by Avijit Chakrabartty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Avijit Chakrabartty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Avijit Chakrabartty Line = papers co-authored together Avijit Chakrabartty links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Structural Basis for Monoclonal Antibody Therapy for Transthyretin Amyloidosis Avijit Chakrabartty	2024	3
2	Interplay of buried histidine protonation and protein stability in prion misfolding Anatoly Malevanets,P. Andrew Chong,D. Flemming Hansen,Paul Rizk,Yulong Sun,Hong Lin,Ranjith Muhandiram,Avijit Chakrabartty,Lewis E. Kay,Julie D. Forman‐Kay,Shoshana J. Wodak	2017	19
3	Determining composition of micron-scale protein deposits in neurodegenerative disease by spatially targeted optical microproteomics Kevin C. Hadley,Rishi Rakhit,Hongbo Guo,Yulong Sun,James Jonkman,JoAnne McLaurin,Lili‐Naz Hazrati,Andrew Emili,Avijit Chakrabartty	2015	34
4	“Structural characterization of the minimal segment of TDP-43 competent for aggregation” Miguel Mompeán,Emanuele Buratti,Corrado Guarnaccia,Rui M. M. Brito,Avijit Chakrabartty,Francisco E. Baralle,Douglas V. Laurents	2014	62
5	Targeting of Monomer/Misfolded SOD1 as a Therapeutic Strategy for Amyotrophic Lateral Sclerosis H.-N. Liu,Sonja Tjostheim,Kevin Da Silva,David Taylor,Beibei Zhao,Rishi Rakhit,Mary E. Brown,Avijit Chakrabartty,JoAnne McLaurin,Janice Robertson	2012	76
6	Concentration-Dependent Structural Transitions of Human Telomeric DNA Sequences Robert B. Macgregor,Rashid M. Abu‐Ghazalah,Steve Rutledge,Lewis W.Y. Lau,Tiffanie Tsai,Vikram Khipple Mulligan,Avijit Chakrabartty,Amr S. Helmy	2012	11
7	An Arg-rich putative prebiotic protein is as stable as its Lys-rich variant Fernando Diez-García,Avijit Chakrabartty,Carlos González,Douglas V. Laurents	2012	5
8	Analyzing complicated protein folding kinetics rapidly by analytical Laplace inversion using a Tikhonov regularization variant Vikram Khipple Mulligan,Kevin C. Hadley,Avijit Chakrabartty	2011	8
9	Putative One‐Pot Prebiotic Polypeptides with Ribonucleolytic Activity Jorge P. López‐Alonso,Miguel Ángel Pardo-Cea,Irene Gómez‐Pinto,Irene Fernández,Avijit Chakrabartty,Enrique Pedroso,Carlos González,Douglas V. Laurents	2010	10
10	Two Distinct Conformations of Aβ Aggregates on the Surface of Living PC12 Cells David A. Bateman,Avijit Chakrabartty	2009	17
11	Species barriers for chronic wasting disease by in vitro conversion of prion protein Li Li,Michael B. Coulthart,Aru Balachandran,Avijit Chakrabartty,Neil R. Cashman	2007	18
12	Structure, folding, and misfolding of Cu,Zn superoxide dismutase in amyotrophic lateral sclerosis Rishi Rakhit,Avijit Chakrabartty	2006	173
13	Charge substitution shows that repulsive electrostatic interactions impede the oligomerization of Alzheimer amyloid peptides Meng Guo,Paul M. Gorman,Manuel Rico,Avijit Chakrabartty,Douglas V. Laurents	2005	46
14	Interaction of human and mouse Aβ peptides Justin Fung,David Frost,Avijit Chakrabartty,JoAnne McLaurin	2004	46
15	Autoinhibition of the Kit Receptor Tyrosine Kinase by the Cytosolic Juxtamembrane Region Perry M. Chan,Subburaj Ilangumaran,José La Rose,Avijit Chakrabartty,Robert Rottapel	2003	124
16	The molecular interaction of human salivary histatins with polyphenolic compounds Karol Wróblewski,Ranjith Muhandiram,Avijit Chakrabartty,Anders Bennick	2001	106
17	Structural Transitions Associated with the Interaction of Alzheimer β-Amyloid Peptides with Gangliosides JoAnne McLaurin,Trudy Franklin,Paul E. Fraser,Avijit Chakrabartty	1998	152
18	Equilibrium folding intermediates of a greek key β-barrel protein Stefan Bagby,Sandy Go,Sumiko Inouye,Mitsuhiko Ikura,Avijit Chakrabartty	1998	20
19	Amyloid β‐protein (Aβ) associated with lipid molecules: immunoreactivity distinct from that of soluble Aβ Katsuhiko Yanagisawa,JoAnne McLaurin,Makoto Michikawa,Avijit Chakrabartty,Yasuo Ihara	1997	38
20	Helix propagation and N‐cap propensities of the amino acids measured in alanine‐based peptides in 40 volume percent trifluoroethanol Carol A. Rohl,Avijit Chakrabartty,Robert L. Baldwin	1996	230

About Avijit Chakrabartty

Avijit Chakrabartty is a scholar working on Neurology, Neurology and Physiology, having authored 100 papers that have together received 7.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Protein Structure and Dynamics (20 papers), Amyotrophic Lateral Sclerosis Research (17 papers), Prion Diseases and Protein Misfolding (16 papers), Computational Drug Discovery Methods (10 papers), Neurological diseases and metabolism (9 papers), RNA and protein synthesis mechanisms (9 papers) and Neurogenetic and Muscular Disorders Research (8 papers). The work is most often cited by research in Neurology (1.3k citations), Physiology (1.9k citations) and Molecular Biology (4.7k citations). Avijit Chakrabartty has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Robert L. Baldwin, JoAnne McLaurin, Tanja Kortemme, Paul E. Fraser, Rishi Rakhit, Christopher M. Yip, Neil R. Cashman, Andrew J. Doig, John A. Schellman and Vikram Khipple Mulligan.

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.

Explore authors with similar magnitude of impact