Neha Bhat

657 citations
15 papers · 479 · h-index 12

Impact in

Papers in

    • Developmental Biology and Gene Regulation 4
    • Congenital heart defects research 2
    • Wnt/β-catenin signaling in development and cancer 2

Neha Bhat

14 papers receiving 466 citations

Peers

Neha Bhat
Comparison fields: 5 of 68
  • Sensory Systems 67
  • Molecular Biology 270
  • Developmental Neuroscience 15
  • Cell Biology 50
  • Cancer Research 34
Replace Sho Ohta with:
Sho Ohta United States
Andrew M. Mikosz United States
Dalton McLean United States
Susana Cañón Spain
Jean C. Gan United States
Alexandre Aubert Canada
Päivi H. Lindfors Finland
Ramachandran Krishnamurthy United States
Reiko U. Yoshimoto Japan
S. Léger France
Neha Bhat relative to Sho Ohta United States Sho Ohta's profile →
Citations per field
00.5×2.8×
Sho Ohta · 1×
Citations per year

Countries citing papers authored by Neha Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Neha Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010126
2 200461
3 201253
4 202346
5 201131
6 202130
7 201229
8 200424
9 201819
10 200417
11 202015
12 202113
13 20168
14 20217
15 20200

About Neha Bhat

Neha Bhat is a scholar working on Molecular Biology, Cell Biology, Genetics, Biomedical Engineering and Surgery, having authored 15 papers that have together received 479 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Cardiac electrophysiology and arrhythmias (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Congenital heart defects research (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Dielectric materials and actuators (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Sensory Systems (67 citations), Molecular Biology (270 citations), Developmental Neuroscience (15 citations), Cell Biology (50 citations) and Cancer Research (34 citations). Neha Bhat has collaborated with scholars based in United States, United Kingdom and Lebanon. Frequent co-authors include Bruce B. Riley, Hye‐Joo Kwon, Arya Mani, Robert A. Cornell, Elly M. Sweet, Mahesh S. Padanad, Anand Narayanan, Mohsen Fathzadeh, Richard G. Kibbey and Dongyan Zhang. Their work appears in journals such as Developmental Biology, PLoS ONE, Nutrients, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Clinical Investigation.

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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