Lavinia Bhatt

623 citations
15 papers · 529 · h-index 10

Impact in

Papers in

Lavinia Bhatt

15 papers receiving 521 citations

Peers

Lavinia Bhatt
Comparison fields: 5 of 71
  • Developmental Neuroscience 41
  • Cellular and Molecular Neuroscience 160
  • Ophthalmology 41
  • Immunology 96
  • Hematology 44
Replace Marie‐Claude Amoureux with:
Marie‐Claude Amoureux France
Fuminori Saitoh Japan
Marta González-García Spain
Deborah J.R. Hankey United Kingdom
Wietske van der Ent Netherlands
Vasiliki Panagiotakopoulou Germany
Zhengxin Ying China
Asami Kawasaki Japan
Consuelo Venturi Italy
Mariyam Murtaza Australia
Lavinia Bhatt relative to Marie‐Claude Amoureux France Marie‐Claude Amoureux's profile →
Citations per field
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Marie‐Claude Amoureux · 1×
Citations per year

Countries citing papers authored by Lavinia Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by Lavinia Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Midbrain dopaminergic neurons: determination of their developmental fate by transcription factors.
2003100
2 201295
3 200384
4 200951
5 201247
6 201047
7 200433
8 201120
9 201119
10 200810
11 20108
12 20076
13 20076
14 20122
15
Determination of Their Developmental Fate by Transcription Factors
20031

About Lavinia Bhatt

Lavinia Bhatt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Hematology, Genetics and Nutrition and Dietetics, having authored 15 papers that have together received 529 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Nuclear Receptors and Signaling (5 papers), Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Trace Elements in Health (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (41 citations), Cellular and Molecular Neuroscience (160 citations), Ophthalmology (41 citations), Immunology (96 citations) and Hematology (44 citations). Lavinia Bhatt has collaborated with scholars based in Ireland, Germany and United States. Frequent co-authors include Thomas G. Cotter, Horst H. Simon, Lavinia Albéri, Paola Sgadó, Gillian Groeger, John F. Woolley, Jiang H. Wang, H. P. Redmond, Daire O’Leary and Kieran W. McDermott. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, FEBS Journal, Journal of Neurochemistry and Journal of Biological Chemistry.

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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