Naina Bhasin

843 citations
10 papers · 682 · h-index 10

Impact in

Papers in

Naina Bhasin

10 papers receiving 657 citations

Peers

Naina Bhasin
Comparison fields: 5 of 66
  • Sensory Systems 77
  • Cardiology and Cardiovascular Medicine 263
  • Developmental Neuroscience 37
  • Molecular Biology 416
  • Cellular and Molecular Neuroscience 103
Replace Shane R. Cunha with:
Shane R. Cunha United States
P. Komwatana Australia
Christine Dunn United States
Nancy D. Merner United States
Patricia Viard France
Charles B.B. Gray United States
Lisa Conti United States
Viktor Yarotskyy United States
Jutta Weisser-Thomas Germany
Fadi Aldehni Germany
Naina Bhasin relative to Shane R. Cunha United States Shane R. Cunha's profile →
Citations per field
00.5×5.9×
Shane R. Cunha · 1×
Citations per year

Countries citing papers authored by Naina Bhasin

Since Specialization
Citations

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

Fields of papers citing papers by Naina Bhasin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Naina Bhasin, 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 Naina Bhasin Line = papers co-authored together Naina Bhasin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2000143
2 2008129
3 2008123
4
Apolipoprotein E gene expression in various tissues of mouse and regulation by estrogen.
199679
5 200778
6 200655
7 200422
8 200221
9 200418
10 199514

About Naina Bhasin

Naina Bhasin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Epidemiology and Computational Theory and Mathematics, having authored 10 papers that have together received 682 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Ion channel regulation and function (4 papers), Developmental Biology and Gene Regulation (2 papers), Congenital Heart Disease Studies (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), NF-κB Signaling Pathways (1 paper), Estrogen and related hormone effects (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Sensory Systems (77 citations), Cardiology and Cardiovascular Medicine (263 citations), Developmental Neuroscience (37 citations), Molecular Biology (416 citations) and Cellular and Molecular Neuroscience (103 citations). Naina Bhasin has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Peter J. Mohler, Anthony‐Samuel LaMantia, Shane R. Cunha, Jill Heemskerk, Niraj Kumar Srivastava, Thomas J. Hund, Mark E. Anderson, J. S. Lowe, E F Shibata and Penelope A. Boyden. Their work appears in journals such as The Journal of Cell Biology, Journal of Medical Microbiology, Neuron, Developmental Dynamics and Mechanisms of Development.

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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