Anoop Rawat

410 total citations
18 papers, 296 citations indexed

About

Anoop Rawat is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anoop Rawat has authored 18 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anoop Rawat's work include Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers) and Supramolecular Self-Assembly in Materials (4 papers). Anoop Rawat is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Protein Structure and Dynamics (6 papers) and Supramolecular Self-Assembly in Materials (4 papers). Anoop Rawat collaborates with scholars based in India, United States and Germany. Anoop Rawat's co-authors include Ralf Langen, Sudipta Maiti, Anand Kant Das, Jobin Varkey, Nitin Pandey, Ramakrishnan Nagaraj, J. Mario Isas, Daniel Huster, Rucha Pandit and Debanjan Bhowmik and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Physical Chemistry B.

In The Last Decade

Anoop Rawat

17 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anoop Rawat India	10	214	111	106	37	37	18	296
Kenneth W. Drombosky United States	7	301 1.4×	131 1.2×	145 1.4×	47 1.3×	34 0.9×	7	362
Annalisa Ansaloni Switzerland	6	232 1.1×	156 1.4×	99 0.9×	31 0.8×	23 0.6×	8	317
Mark Dulchavsky United States	7	229 1.1×	136 1.2×	54 0.5×	61 1.6×	37 1.0×	11	312
Saskia J. Pollack United Kingdom	6	185 0.9×	226 2.0×	84 0.8×	49 1.3×	30 0.8×	10	327
Tamta Arakhamia United States	2	189 0.9×	222 2.0×	46 0.4×	41 1.1×	28 0.8×	2	294
Yoon Seok Suh South Korea	8	130 0.6×	137 1.2×	55 0.5×	26 0.7×	19 0.5×	11	369
Clément Danis France	9	170 0.8×	164 1.5×	76 0.7×	32 0.9×	19 0.5×	15	328
Jason C. Sang United Kingdom	10	196 0.9×	200 1.8×	47 0.4×	85 2.3×	48 1.3×	13	384
Omar M. Kashmer United States	7	197 0.9×	220 2.0×	71 0.7×	25 0.7×	50 1.4×	9	321
Clément Despres France	8	263 1.2×	236 2.1×	57 0.5×	35 0.9×	50 1.4×	10	408

Countries citing papers authored by Anoop Rawat

Since Specialization

Citations

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

Fields of papers citing papers by Anoop Rawat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anoop Rawat

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

All Works

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18 of 18 papers shown

Maheshwari, Megha, et al.. (2024). Chronic chemogenetic activation of hippocampal progenitors enhances adult neurogenesis and modulates anxiety-like behavior and fear extinction learning. IBRO Neuroscience Reports. 16. 168–181.

Isas, J. Mario, Nitin Pandey, Hui Xu, et al.. (2021). Huntingtin fibrils with different toxicity, structure, and seeding potential can be interconverted. Nature Communications. 12(1). 4272–4272. 34 indexed citations

Rawat, Anoop, et al.. (2021). Droplet and fibril formation of the functional amyloid Orb2. Journal of Biological Chemistry. 297(1). 100804–100804. 13 indexed citations

Isas, J. Mario, Nitin Pandey, Anoop Rawat, et al.. (2021). Amplification of neurotoxic HTTex1 assemblies in human neurons. Neurobiology of Disease. 159. 105517–105517. 4 indexed citations

Rawat, Anoop, et al.. (2018). Aggregation-induced conformation changes dictate islet amyloid polypeptide (IAPP) membrane affinity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(9). 1734–1740. 21 indexed citations

Rawat, Anoop, Ralf Langen, & Jobin Varkey. (2018). Membranes as modulators of amyloid protein misfolding and target of toxicity. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(9). 1863–1875. 37 indexed citations

Rawat, Anoop, et al.. (2018). Spontaneous Fluctuations Can Guide Drug Design Strategies for Structurally Disordered Proteins. Biochemistry. 57(28). 4206–4213. 4 indexed citations

Pandey, Nitin, et al.. (2017). The 17-residue-long N terminus in huntingtin controls stepwise aggregation in solution and on membranes via different mechanisms. Journal of Biological Chemistry. 293(7). 2597–2605. 62 indexed citations

Chandra, Bappaditya, Alexander Korn, Juliane Adler, et al.. (2017). Stereoisomers Probe Steric Zippers in Amyloid-β. The Journal of Physical Chemistry B. 121(8). 1835–1842. 9 indexed citations

10.

Bera, Kallol, et al.. (2017). Fluorogenic Detection of Monoamine Neurotransmitters in Live Cells. ACS Chemical Neuroscience. 9(3). 469–474. 21 indexed citations

11.

Das, Chayan, et al.. (2016). Development of multifunctional heterocyclic Schiff base as a potential metal chelator: a comprehensive spectroscopic approach towards drug discovery. JBIC Journal of Biological Inorganic Chemistry. 22(1). 47–59. 11 indexed citations

12.

Das, Anand Kant, Anoop Rawat, Debanjan Bhowmik, et al.. (2015). An Early Folding Contact between Phe19 and Leu34 is Critical for Amyloid-β Oligomer Toxicity. ACS Chemical Neuroscience. 6(8). 1290–1295. 51 indexed citations

13.

Rawat, Anoop & Sudipta Maiti. (2015). Single Molecule Tools for Probing Protein Aggregation. Proceedings of the National Academy of Sciences India Section A Physical Sciences. 85(4). 519–525. 1 indexed citations

14.

Rawat, Anoop & Ramakrishnan Nagaraj. (2014). Peptide Self-assembly: From Toxins to Amyloid Fibrils and Nanotubes. Current Topics in Medicinal Chemistry. 14(6). 740–746. 7 indexed citations

15.

Rawat, Anoop & Ramakrishnan Nagaraj. (2013). Covalently attached fatty acyl chains alter the aggregation behavior of an amyloidogenic peptide derived from human β₂‐microglobulin. Journal of Peptide Science. 19(12). 770–783. 3 indexed citations

16.

Rawat, Anoop, et al.. (2012). Fatty acyl chain-dependent but charge-independent association of the SH4 domain of Lck with lipid membranes. Journal of Biosciences. 38(1). 63–71. 6 indexed citations

17.

Rawat, Anoop & Ramakrishnan Nagaraj. (2010). Determinants of membrane association in the SH4 domain of Fyn: Roles of N-terminus myristoylation and side-chain thioacylation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1798(10). 1854–1863. 10 indexed citations

18.

Rawat, Anoop, et al.. (2005). A Reliability Strategy for Zero Field Failures in Automotive Electronics. SAE technical papers on CD-ROM/SAE technical paper series. 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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