Amrita Mohan

3.5k total citations · 3 hit papers
23 papers, 2.6k citations indexed

About

Amrita Mohan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Amrita Mohan has authored 23 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 8 papers in Neurology. Recurrent topics in Amrita Mohan's work include Genetic Neurodegenerative Diseases (11 papers), Neurological disorders and treatments (7 papers) and Protein Structure and Dynamics (4 papers). Amrita Mohan is often cited by papers focused on Genetic Neurodegenerative Diseases (11 papers), Neurological disorders and treatments (7 papers) and Protein Structure and Dynamics (4 papers). Amrita Mohan collaborates with scholars based in United States, Russia and United Kingdom. Amrita Mohan's co-authors include Predrag Radivojac, Vladimir Vacic, Vladimir N. Uversky, A. Keith Dunker, Christopher J. Oldfield, Marc S. Cortese, Ryan M. Eustice, Nicholas Carlevaris-Bianco, Basant Kumar and R. S. Dwivedi and has published in prestigious journals such as Journal of Molecular Biology, Neurology and Cancer Research.

In The Last Decade

Amrita Mohan

23 papers receiving 2.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Analysis of Molecular Recognition Features (MoRFs)

2006 597 citations Amrita Mohan, Christopher J. Oldfield et al. Journal of Molecular Biology profile →
Initial results in underwater single image dehazing

2010 362 citations Nicholas Carlevaris-Bianco, Amrita Mohan et al. Deep Blue (University of Michigan) profile →
Review on remote sensing methods for landslide detection using machine and deep learning

2020 226 citations Amrita Mohan, Amit Kumar Singh et al. Transactions on Emerging Telecommunications Technologies profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Amrita Mohan	1.6k	370	336	256	201	23	2.6k
Andreas Hoppe	869 0.6×	1.4k 3.8×	47 0.1×	114 0.4×	72 0.4×	131	4.3k
Yongchao Liu	2.3k 1.4×	73 0.2×	327 1.0×	90 0.4×	20 0.1×	143	3.8k
Olivier Debeir	874 0.6×	426 1.2×	20 0.1×	29 0.1×	401 2.0×	118	2.9k
Jianqiang Sun	1.0k 0.7×	67 0.2×	131 0.4×	7 0.0×	64 0.3×	78	2.1k
Bernhard X. Kausler	781 0.5×	153 0.4×	62 0.2×	4 0.0×	142 0.7×	6	2.1k
Y‐h. Taguchi	1.4k 0.9×	34 0.1×	217 0.6×	80 0.3×	8 0.0×	156	2.8k
Jeremy Adler	1.1k 0.7×	32 0.1×	86 0.3×	13 0.1×	19 0.1×	61	2.3k
Po Chen	1.1k 0.7×	44 0.1×	34 0.1×	38 0.1×	16 0.1×	103	3.2k
Chun Chen	631 0.4×	142 0.4×	29 0.1×	8 0.0×	109 0.5×	75	1.8k
Carolina Wählby	1.7k 1.1×	445 1.2×	37 0.1×	10 0.0×	297 1.5×	101	3.2k

Countries citing papers authored by Amrita Mohan

Since Specialization

Citations

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

Fields of papers citing papers by Amrita Mohan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amrita Mohan

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

All Works

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20 of 20 papers shown

Singh, Kedar Nath, et al.. (2025). Deep learning based medical image segmentation for encryption with copyright protection through data hiding. Computers & Electrical Engineering. 123. 110202–110202. 1 indexed citations

Warner, John Harley, Jeffrey D. Long, James A. Mills, et al.. (2022). Standardizing the CAP Score in Huntington’s Disease by Predicting Age-at-Onset. Journal of Huntington s Disease. 11(2). 153–171. 26 indexed citations

Mohan, Amrita, Zhaonan Sun, Soumya Ghosh, et al.. (2021). A Machine‐Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design. Movement Disorders. 37(3). 553–562. 22 indexed citations

Ullo, Silvia Liberata, Amrita Mohan, Alessandro Sebastianelli, et al.. (2021). A New Mask R-CNN-Based Method for Improved Landslide Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3799–3810. 108 indexed citations

Griffin, Beth Ann, Marika Booth, Monica Busse, et al.. (2021). Estimating the causal effects of modifiable, non-genetic factors on Huntington disease progression using propensity score weighting. Parkinsonism & Related Disorders. 83. 56–62. 3 indexed citations

Mohan, Amrita, Amit Kumar Singh, Basant Kumar, & R. S. Dwivedi. (2020). Review on remote sensing methods for landslide detection using machine and deep learning. Transactions on Emerging Telecommunications Technologies. 32(7). 226 indexed citations breakdown →

Lewis, Michael, Jing Dai, Amrita Mohan, et al.. (2020). 24(S)-Hydroxycholesterol Levels are Decreased in Early Huntington’s Disease and Are Associated with Deficits in Several Cognitive Domains (4070). Neurology. 94(15_supplement). 4 indexed citations

Mills, James A., Jeffrey D. Long, Amrita Mohan, Jennifer J. Ware, & Cristina Sampaio. (2020). Cognitive and Motor Norms for Huntington’s Disease. Archives of Clinical Neuropsychology. 35(6). 671–682. 11 indexed citations

Sun, Zhaonan, Soumya Ghosh, Ying Li, et al.. (2019). A probabilistic disease progression modeling approach and its application to integrated Huntington’s disease observational data. JAMIA Open. 2(1). 123–130. 21 indexed citations

10.

Wijeratne, P. A., Alexandra L. Young, Neil P. Oxtoby, et al.. (2018). An image‐based model of brain volume biomarker changes in Huntington's disease. Annals of Clinical and Translational Neurology. 5(5). 570–582. 41 indexed citations

11.

Sun, Zhaonan, Ying Li, Soumya Ghosh, et al.. (2017). A Data-Driven Method for Generating Robust Symptom Onset Indicators in Disease Registry Data.. AMIA. 1 indexed citations

12.

Sun, Zhaonan, Ying Li, Soumya Ghosh, et al.. (2017). A Data-Driven Method for Generating Robust Symptom Onset Indicators in Huntington's Disease Registry Data.. PubMed. 2017. 1635–1644. 2 indexed citations

13.

O’Connor, Matthew, Amrita Mohan, Suzanne C. Brady, et al.. (2011). Abstract 4463: OSI-027, a dual mTORC1/mTORC2 inhibitor, induces autophagy in cancer cells. Cancer Research. 71(8_Supplement). 4463–4463. 1 indexed citations

14.

Carlevaris-Bianco, Nicholas, Amrita Mohan, & Ryan M. Eustice. (2010). Initial results in underwater single image dehazing. Deep Blue (University of Michigan). 1–8. 362 indexed citations breakdown →

15.

Radivojac, Predrag, Vladimir Vacic, Chad Haynes, et al.. (2009). Identification, analysis, and prediction of protein ubiquitination sites. Proteins Structure Function and Bioinformatics. 78(2). 365–380. 459 indexed citations

16.

Mohan, Amrita, Vladimir N. Uversky, & Predrag Radivojac. (2009). Influence of Sequence Changes and Environment on Intrinsically Disordered Proteins. PLoS Computational Biology. 5(9). e1000497–e1000497. 38 indexed citations

17.

Mohan, Amrita, William J. Sullivan, Predrag Radivojac, A. Keith Dunker, & Vladimir N. Uversky. (2008). Intrinsic disorder in pathogenic and non-pathogenic microbes: discovering and analyzing the unfoldomes of early-branching eukaryotes. Molecular BioSystems. 4(4). 328–340. 120 indexed citations

18.

Radivojac, Predrag, Kang Peng, Wyatt T. Clark, et al.. (2008). An integrated approach to inferring gene–disease associations in humans. Proteins Structure Function and Bioinformatics. 72(3). 1030–1037. 132 indexed citations

19.

Vacic, Vladimir, Christopher J. Oldfield, Amrita Mohan, et al.. (2007). Characterization of Molecular Recognition Features, MoRFs, and Their Binding Partners. Journal of Proteome Research. 6(6). 2351–2366. 389 indexed citations

20.

Mohan, Amrita, Christopher J. Oldfield, Predrag Radivojac, et al.. (2006). Analysis of Molecular Recognition Features (MoRFs). Journal of Molecular Biology. 362(5). 1043–1059. 597 indexed citations breakdown →

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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