Amit Oberai

826 citations
10 papers · 524 indexed · h-index 9

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Lipid Membrane Structure and Behavior
    • Machine Learning in Bioinformatics
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing

Papers in

Amit Oberai

10 papers receiving 516 citations

Peers

Amit Oberai
Comparison fields: 5 of 82
  • Molecular Biology 386
  • Microbiology 20
  • Parasitology 21
  • Cell Biology 46
  • Cellular and Molecular Neuroscience 46
Replace David Jimenez‐Morales with:
David Jimenez‐Morales United States
Stephan Kutik Germany
Johannes F. Hevler Netherlands
Igor Tascón Spain
Mélanie Berbon France
Kathleen N. Nemec United States
Micheal E. Barnett United States
Nancy Leymarie United States
Vishnu Priyanka Reddy Chichili Singapore
Anne McBride United States
Amit Oberai relative to David Jimenez‐Morales United States David Jimenez‐Morales's profile →
Citations per field
00.5×1.5×
David Jimenez‐Morales · 1×
Citations per year

Countries citing papers authored by Amit Oberai

Since Specialization
Citations

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

Fields of papers citing papers by Amit Oberai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Oberai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Oberai Line = papers co-authored together Amit Oberai links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20246
2 202314
3 202113
4 202017
5 201419
6 201260
7 200957
8 200961
9 200659
10 2005218

About Amit Oberai

Amit Oberai is a scholar working on Microbiology, Parasitology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 10 papers that have together received 524 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Lipid Membrane Structure and Behavior (3 papers), RNA and protein synthesis mechanisms (3 papers), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Machine Learning in Bioinformatics (1 paper), Virus-based gene therapy research (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Molecular Biology (386 citations), Microbiology (20 citations), Parasitology (21 citations), Cell Biology (46 citations) and Cellular and Molecular Neuroscience (46 citations). Amit Oberai has collaborated with scholars based in United States, Switzerland and Tanzania. Frequent co-authors include James U. Bowie, Sanguk Kim, Duan Yang, Tae‐Joon Jeon, Jacob J. Schmidt, Nathan H. Joh, Yungok Ihm, Julian P. Whitelegge, Siavash K. Kurdistani and Matteo Pellegrini. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, iScience, Journal of the American Chemical Society and mBio.

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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