Aashish Jain

1.1k total citations
23 papers, 303 citations indexed

About

Aashish Jain is a scholar working on Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Aashish Jain has authored 23 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Aashish Jain's work include Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (4 papers). Aashish Jain is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (4 papers). Aashish Jain collaborates with scholars based in United States, India and Australia. Aashish Jain's co-authors include Daisuke Kihara, Kevin D. Dorfman, J. Ravi Prakash, Burkhard Dünweg, Yuki Kagaya, P. Sunthar, S. N. Raina, Genki Terashi, Shailendra Goel and Yasuhiko Mukai and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Aashish Jain

22 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aashish Jain United States 12 157 61 60 35 35 23 303
Tetsuro Nagai Japan 10 170 1.1× 65 1.1× 50 0.8× 6 0.2× 17 0.5× 28 304
Satoshi Baba Japan 13 259 1.6× 42 0.7× 26 0.4× 41 1.2× 33 0.9× 36 482
Mahdiye Ijavi Switzerland 4 189 1.2× 40 0.7× 36 0.6× 6 0.2× 6 0.2× 4 275
Byoung-jin Jeon United States 9 317 2.0× 57 0.9× 125 2.1× 5 0.1× 3 0.1× 10 464
Daniel P. Aalberts United States 9 418 2.7× 40 0.7× 38 0.6× 7 0.2× 9 0.3× 23 507
Paul J. Michalski United States 13 226 1.4× 62 1.0× 148 2.5× 16 0.5× 38 1.1× 19 483
K. Klenin Germany 7 254 1.6× 19 0.3× 37 0.6× 4 0.1× 12 0.3× 11 325
Norma H. Pawley United States 9 252 1.6× 95 1.6× 66 1.1× 2 0.1× 24 0.7× 19 448
A. Neer Israel 8 281 1.8× 31 0.5× 15 0.3× 16 0.5× 82 2.3× 12 424

Countries citing papers authored by Aashish Jain

Since Specialization
Citations

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

Fields of papers citing papers by Aashish Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aashish Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Aashish Jain. A scholar is included among the top collaborators of Aashish Jain 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 Aashish Jain. Aashish Jain 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
1.
Jain, Aashish, et al.. (2023). Designing regression approach for mode frequency prediction of empty and filled steel silos. Heliyon. 9(12). e22764–e22764. 1 indexed citations
2.
Kagaya, Yuki, et al.. (2022). ContactPFP: Protein function prediction using predicted contact information. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Kagaya, Yuki, et al.. (2022). ContactPFP: Protein Function Prediction Using Predicted Contact Information. SHILAP Revista de lepidopterología. 2. 6 indexed citations
4.
Jain, Aashish, et al.. (2021). Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction. Scientific Reports. 11(1). 7574–7574. 21 indexed citations
5.
Wolver, Susan, et al.. (2021). Clinical Use of a Real-World Low Carbohydrate Diet Resulting in Reduction of Insulin Dose, Hemoglobin A1c, and Weight. Frontiers in Nutrition. 8. 690855–690855. 5 indexed citations
6.
Singh, Ram Chandra, et al.. (2019). Verification of Biometric Traits using Deep Learning. International Journal of Innovative Technology and Exploring Engineering. 8(10S). 452–459. 2 indexed citations
7.
Jain, Aashish & Daisuke Kihara. (2019). NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network. Scientific Reports. 9(1). 17923–17923. 21 indexed citations
8.
Macossay-Castillo, Mauricio, Mainak Guharoy, Aashish Jain, et al.. (2019). The Balancing Act of Intrinsically Disordered Proteins: Enabling Functional Diversity while Minimizing Promiscuity. Journal of Molecular Biology. 431(8). 1650–1670. 37 indexed citations
9.
Werner, Erik, Aashish Jain, Abhiram Muralidhar, et al.. (2018). Hairpins in the conformations of a confined polymer. Biomicrofluidics. 12(2). 24105–24105. 6 indexed citations
10.
Jain, Aashish, et al.. (2018). Identification of Moonlighting Proteins in Genomes Using Text Mining Techniques. PROTEOMICS. 18(21-22). e1800083–e1800083. 5 indexed citations
11.
Jain, Aashish & Daisuke Kihara. (2018). Phylo-PFP: improved automated protein function prediction using phylogenetic distance of distantly related sequences. Bioinformatics. 35(5). 753–759. 22 indexed citations
12.
Jain, Aashish & Kevin D. Dorfman. (2017). Simulations of knotting of DNA during genome mapping. Biomicrofluidics. 11(2). 24117–24117. 16 indexed citations
13.
14.
Jain, Aashish, et al.. (2016). Modeling the relaxation of internal DNA segments during genome mapping in nanochannels. Biomicrofluidics. 10(5). 54117–54117. 11 indexed citations
15.
Jain, Aashish & Kevin D. Dorfman. (2015). Evaluation of the Kirkwood approximation for the diffusivity of channel-confined DNA chains in the de Gennes regime. Biomicrofluidics. 9(2). 24112–24112. 7 indexed citations
16.
Dorfman, Kevin D., et al.. (2014). Hydrodynamics of DNA confined in nanoslits and nanochannels. The European Physical Journal Special Topics. 223(14). 3179–3200. 23 indexed citations
17.
Jain, Aashish, C. Sasmal, Remco Hartkamp, B. D. Todd, & J. Ravi Prakash. (2014). Brownian dynamics simulations of planar mixed flows of polymer solutions at finite concentrations. Chemical Engineering Science. 121. 245–257. 12 indexed citations
18.
Jain, Aashish, Burkhard Dünweg, & J. Ravi Prakash. (2012). Dynamic Crossover Scaling in Polymer Solutions. Physical Review Letters. 109(8). 88302–88302. 15 indexed citations
19.
Jain, Aashish, P. Sunthar, Burkhard Dünweg, & J. Ravi Prakash. (2012). Optimization of a Brownian-dynamics algorithm for semidilute polymer solutions. Physical Review E. 85(6). 66703–66703. 28 indexed citations
20.

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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