Ambarish Nag

1.1k total citations
28 papers, 638 citations indexed

About

Ambarish Nag is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment and Biomedical Engineering. According to data from OpenAlex, Ambarish Nag has authored 28 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Biomedical Engineering. Recurrent topics in Ambarish Nag's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Algal biology and biofuel production (7 papers) and Biofuel production and bioconversion (6 papers). Ambarish Nag is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Algal biology and biofuel production (7 papers) and Biofuel production and bioconversion (6 papers). Ambarish Nag collaborates with scholars based in United States, Singapore and Greece. Ambarish Nag's co-authors include Michael T. Guarnieri, Philip T. Pienkos, Michael Seibert, Al Darzins, Sharon Smolinski, Shihui Yang, Aaron R. Dinner, Michael Monine, Byron Goldstein and James R. Faeder and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ambarish Nag

26 papers receiving 631 citations

Peers

Countries citing papers authored by Ambarish Nag

Since Specialization

Citations

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

Fields of papers citing papers by Ambarish Nag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambarish Nag

This figure shows the co-authorship network connecting the top 25 collaborators of Ambarish Nag. A scholar is included among the top collaborators of Ambarish Nag 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 Ambarish Nag. Ambarish Nag 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

#	Work	Indexed citations
1	Applications of explainable artificial intelligence in renewable energy research 2025 ·Energy Reports ·(unknown), (unknown), (unknown), (unknown), Trung Hiếu Nguyễn, Shuva Paul, Joseph Severino, Ambarish Nag, (unknown), Paul Gasper, Donal P. Finegan, (unknown), Juliane Mueller, Peter Graf, (unknown), (unknown)	1
2	Towards deep computer vision for in-line defect detection in polymer electrolyte membrane fuel cell materials 2023 ·International Journal of Hydrogen Energy ·(unknown), P. Rupnowski, (unknown), Ambarish Nag	12
3	Identification and preliminary characterization of conserved uncharacterized proteins from Chlamydomonas reinhardtii, Arabidopsis thaliana, and Setaria viridis 2023 ·Plant Direct ·Eric P. Knoshaug, (unknown), Ambarish Nag, Huong Q. Nguyen, (unknown), Ningning Zhang, Jian Liu, Chen Chen, Jianlin Cheng, (unknown), Peter C. St. John, James Umen	1
4	Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach 2023 ·Practice and Experience in Advanced Research Computing ·(unknown), Ambarish Nag, (unknown), Monte Lunacek, Kristi Potter, Dmitry Duplyakin	7
5	Draft Genome Sequence of the Biofuel-Relevant Microalga Desmodesmus armatus 2020 ·Microbiology Resource Announcements ·Eric P. Knoshaug, Ambarish Nag, David P. Astling, (unknown), Lieve M. L. Laurens	9
6	Fleet-Scale Energy-Yield Degradation Analysis Applied to Hundreds of Residential and Nonresidential Photovoltaic Systems 2019 ·IEEE Journal of Photovoltaics ·Michael G. Deceglie, Dirk Jordan, Ambarish Nag, (unknown), Chris Deline	24
7	Novel and Practical Method to Quantify the Quality of Mobility: Mobility Energy Productivity Metric 2019 ·Transportation Research Record Journal of the Transportation Research Board ·Yi Hou, Venu Garikapati, Ambarish Nag, Stanley Young, (unknown)	20
8	Reducing Interanalyst Variability in Photovoltaic Degradation Rate Assessments 2019 ·IEEE Journal of Photovoltaics ·Dirk Jordan, Wei Luo, Anubhav Jain, Mashad Uddin Saleh, (unknown), Yang Hu, (unknown), F. Mavromatakis, Chris Deline, Michael G. Deceglie, Ambarish Nag, Gregory M. Kimball, (unknown), Jim Joseph John, Aaesha Alnuaimi, (unknown)	25
9	Prediction of reaction knockouts to maximize succinate production by Actinobacillus succinogenes 2018 ·PLoS ONE ·Ambarish Nag, Peter C. St. John, Michael F. Crowley, Yannick J. Bomble	11
10	Transcriptome and proteome analysis of nitrogen starvation responses in Synechocystis 6803 ΔglgC, a mutant incapable of glycogen storage 2016 ·Algal Research ·Damian Carrieri, (unknown), Troy Paddock, Mélissa Cano, (unknown), Ambarish Nag, William M. Old, Pin‐Ching Maness, M. Seibert, Maria L. Ghirardi, Jianping Yu	23
11	Proteomic analysis of Chlorella vulgaris: Potential targets for enhanced lipid accumulation 2013 ·Journal of Proteomics ·Michael T. Guarnieri, Ambarish Nag, Shihui Yang, Philip T. Pienkos	84
12	Modeling and Simulation of Aggregation of Membrane Protein LAT with Molecular Variability in the Number of Binding Sites for Cytosolic Grb2-SOS1-Grb2 2012 ·PLoS ONE ·Ambarish Nag, Michael Monine, Alan S. Perelson, Byron Goldstein	16
13	Examination of Triacylglycerol Biosynthetic Pathways via De Novo Transcriptomic and Proteomic Analyses in an Unsequenced Microalga 2011 ·PLoS ONE ·Michael T. Guarnieri, Ambarish Nag, Sharon Smolinski, Al Darzins, Michael Seibert, Philip T. Pienkos	175
14	Kinetic modeling and exploratory numerical simulation of chloroplastic starch degradation 2011 ·BMC Systems Biology ·Ambarish Nag, Monte Lunacek, Peter Gräf, Christopher H. Chang	14
15	A Detailed Mathematical Model Predicts That Serial Engagement of IgE–FcεRI Complexes Can Enhance Syk Activation in Mast Cells 2010 ·The Journal of Immunology ·Ambarish Nag, Michael Monine, Michael L. Blinov, Byron Goldstein	11
16	Aggregation of Membrane Proteins by Cytosolic Cross-Linkers: Theory and Simulation of the LAT-Grb2-SOS1 System 2009 ·Biophysical Journal ·Ambarish Nag, Michael Monine, James R. Faeder, Byron Goldstein	54
17	Rule-based modeling of signal transduction 2007 ·Journal of Critical Care ·James R. Faeder, Michael Monine, Ambarish Nag, Byron Goldstein, William S. Hlavacek	0
18	Thermodynamics and kinetics of competing aggregation processes in a simple model system 2007 ·The Journal of Chemical Physics ·Ambarish Nag, R. Stephen Berry	1
19	Dynamic coupling between coordinates in a model for biomolecular isomerization 2006 ·The Journal of Chemical Physics ·Ao Ma, Ambarish Nag, Aaron R. Dinner	37
20	Enhancement of Diffusion-Controlled Reaction Rates by Surface-Induced Orientational Restriction 2005 ·Biophysical Journal ·Ambarish Nag, Aaron R. Dinner	18

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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