Somesh Mohapatra

568 total citations
17 papers, 390 citations indexed

About

Somesh Mohapatra is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Somesh Mohapatra has authored 17 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Organic Chemistry. Recurrent topics in Somesh Mohapatra's work include Machine Learning in Materials Science (5 papers), Chemical Synthesis and Analysis (3 papers) and Computational Drug Discovery Methods (3 papers). Somesh Mohapatra is often cited by papers focused on Machine Learning in Materials Science (5 papers), Chemical Synthesis and Analysis (3 papers) and Computational Drug Discovery Methods (3 papers). Somesh Mohapatra collaborates with scholars based in United States, India and Denmark. Somesh Mohapatra's co-authors include Rafael Gómez‐Bombarelli, Simon Axelrod, Andrei Loas, Bradley L. Pentelute, Daniel Schwalbe‐Koda, Kevin P. Greenman, James Damewood, Jeremiah A. Johnson, Yivan Jiang and Mackenzie Poskus and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Chemistry and Journal of Materials Science.

In The Last Decade

Somesh Mohapatra

16 papers receiving 383 citations

Peers

Countries citing papers authored by Somesh Mohapatra

Since Specialization

Citations

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

Fields of papers citing papers by Somesh Mohapatra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Somesh Mohapatra

This figure shows the co-authorship network connecting the top 25 collaborators of Somesh Mohapatra. A scholar is included among the top collaborators of Somesh Mohapatra 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 Somesh Mohapatra. Somesh Mohapatra 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	Design of Cytotoxic T Cell Epitopes by Machine Learning of Human Degrons 2024 ·ACS Central Science ·(unknown), Somesh Mohapatra, Mariane B. Melo, Jacob Rodriguez, Na Li, Wuhbet Abraham, Deborah Sementa, Fayçal Touti, Derin B. Keskin, Catherine J. Wu, Darrell J. Irvine, Rafael Gómez‐Bombarelli, Bradley L. Pentelute	2
2	A Model Ensemble Approach Enables Data-Driven Property Prediction for Chemically Deconstructable Thermosets in the Low-Data Regime 2023 ·ACS Central Science ·Yasmeen AlFaraj, Somesh Mohapatra, Peyton Shieh, Keith E. L. Husted, (unknown), Evan M. Lloyd, Julian C. Cooper, Yutong Dai, (unknown), Jeffrey S. Moore, Nancy R. Sottos, Rafael Gómez‐Bombarelli, Jeremiah A. Johnson	23
3	DISPEL: database for ascertaining the best medicinal plants to cure human diseases 2023 ·Database ·(unknown), (unknown), (unknown), (unknown), (unknown), Arshad Jamal, (unknown), Somesh Mohapatra, Harsh Chauhan, (unknown)	4
4	Machine Learning Guides Peptide Nucleic Acid Flow Synthesis and Sequence Design 2022 ·Advanced Science ·Chengxi Li, (unknown), Somesh Mohapatra, Alex J. Callahan, Andrei Loas, Rafael Gómez‐Bombarelli, Bradley L. Pentelute	10
5	Sentiment is all you need to win US Presidential elections 2022 ·(unknown), Somesh Mohapatra	1
6	Chemistry-informed macromolecule graph representation for similarity computation, unsupervised and supervised learning 2022 ·Machine Learning Science and Technology ·Somesh Mohapatra, (unknown), Rafael Gómez‐Bombarelli	31
7	Learning Matter: Materials Design with Machine Learning and Atomistic Simulations 2022 ·Accounts of Materials Research ·Simon Axelrod, Daniel Schwalbe‐Koda, Somesh Mohapatra, James Damewood, Kevin P. Greenman, Rafael Gómez‐Bombarelli	80
8	Deep learning to design nuclear-targeting abiotic miniproteins 2021 ·Nature Chemistry ·Carly K. Schissel, Somesh Mohapatra, Justin M. Wolfe, Colin M. Fadzen, (unknown), Chia‐Ling Wu, Jenna Wood, Annika B. Malmberg, Andrei Loas, Rafael Gómez‐Bombarelli, Bradley L. Pentelute	45
9	Bottlebrush polymers with flexible enantiomeric side chains display differential biological properties 2021 ·Nature Chemistry ·Hung V.‐T. Nguyen, Yivan Jiang, Somesh Mohapatra, Wencong Wang, Jonathan C. Barnes, Nathan J. Oldenhuis, (unknown), Simon Axelrod, Zhihao Huang, Qixian Chen, Matthew R. Golder, (unknown), (unknown), (unknown), Adam P. Willard, Michael J. A. Hore, Rafael Gómez‐Bombarelli, Jeremiah A. Johnson	70
10	Deep Learning Enables Discovery of a Short Nuclear Targeting Peptide for Efficient Delivery of Antisense Oligomers 2021 ·SHILAP Revista de lepidopterología ·Eva M. López‐Vidal, Carly K. Schissel, Somesh Mohapatra, (unknown), (unknown), Jenna Wood, Annika B. Malmberg, Andrei Loas, Rafael Gómez‐Bombarelli, Bradley L. Pentelute	16
11	Synthetic Glycomacromolecules of Defined Valency, Absolute Configuration, and Topology Distinguish between Human Lectins 2021 ·SHILAP Revista de lepidopterología ·(unknown), Yivan Jiang, Gökhan Yilmaz, (unknown), Hung V.‐T. Nguyen, (unknown), Alessandra Monaco, (unknown), (unknown), Somesh Mohapatra, Simon Axelrod, Rafael Gómez‐Bombarelli, Laura L. Kiessling, C. Remzi Becer, Jeremiah A. Johnson	35
12	learningmatter-mit/peptimizer: Initial Release 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·Somesh Mohapatra	1
13	Deep Learning for Prediction and Optimization of Fast-Flow Peptide Synthesis 2020 ·ACS Central Science ·Somesh Mohapatra, Nina Hartrampf, Mackenzie Poskus, Andrei Loas, Rafael Gómez‐Bombarelli, Bradley L. Pentelute	45
14	Quantitative Mapping of Molecular Substituents to Macroscopic Properties Enables Predictive Design of Oligoethylene Glycol-Based Lithium Electrolytes 2020 ·ACS Central Science ·Bo Qiao, Somesh Mohapatra, Jeffrey Lopez, Graham Leverick, Ryoichi Tatara, (unknown), Yivan Jiang, Arthur France‐Lanord, Jeffrey C. Grossman, Rafael Gómez‐Bombarelli, Jeremiah A. Johnson, Yang Shao‐Horn	19
15	Reusability report: Designing organic photoelectronic molecules with descriptor conditional recurrent neural networks 2020 ·Nature Machine Intelligence ·Somesh Mohapatra, Tzuhsiung Yang, Rafael Gómez‐Bombarelli	6
16	Systematic investigation and in vitro biocompatibility studies on implantable magnetic nanocomposites for hyperthermia treatment of osteoarthritic knee joints 2017 ·Journal of Materials Science ·Somesh Mohapatra, Rutusmita Mishra, Partha Roy, K. L. Yadav, Soumitra Satapathi	2
17	Implantable Magnetic-Dielectric Composites for Prolonged Hyperthermia Treatment of Hepatic Lesions 2016 ·Journal of Biotechnology & Biomaterials ·Somesh Mohapatra, (unknown)	0

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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