Deepak A. Lamba
-
- Neuroscience and Neural Engineering 13
- Photoreceptor and optogenetics research 10
- Developmental Neuroscience top 2%
- Ophthalmology top 2%
- Retinal Diseases and Treatments 5
- Molecular Biology top 2%
- Retinal Development and Disorders 36
- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 13
- RNA regulation and disease 3
- Neurology top 5%
-
- Corneal Surgery and Treatments 3
Deepak A. Lamba
47 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 1.1k
- Developmental Neuroscience 195
- Ophthalmology 346
- Molecular Biology 2.5k
- Neurology 134
Countries citing papers authored by Deepak A. Lamba
This map shows the geographic impact of Deepak A. Lamba'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 Deepak A. Lamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak A. Lamba more than expected).
Fields of papers citing papers by Deepak A. Lamba
This network shows the impact of papers produced by Deepak A. Lamba. 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 Deepak A. Lamba. The network helps show where Deepak A. Lamba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepak A. Lamba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 3 | |
| 6 | Differentiation of tree shrew iPSC-derived retinal ganglion cells using 3D organoid approach | 2021 | 1 |
| 7 | 2021 | 0 | |
| 8 | 2019 | 23 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 97 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 4 | |
| 14 | 2017 | 63 | |
| 15 | 2014 | 30 | |
| 16 | 2010 | 303 | |
| 17 | 2009 | 62 | |
| 18 | 2009 | 134 | |
| 19 | 2009 | 445 | |
| 20 | 2008 | 138 |
About Deepak A. Lamba
Deepak A. Lamba is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ophthalmology, Developmental Neuroscience and Neurology, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Retinal Development and Disorders (36 papers), Pluripotent Stem Cells Research (14 papers), Neuroscience and Neural Engineering (13 papers), CRISPR and Genetic Engineering (13 papers), Photoreceptor and optogenetics research (10 papers), Retinal Diseases and Treatments (5 papers), Corneal Surgery and Treatments (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (195 citations), Ophthalmology (346 citations), Molecular Biology (2.5k citations) and Neurology (134 citations). Deepak A. Lamba has collaborated with scholars based in United States, Portugal and Mexico. Frequent co-authors include Thomas A. Reh, Michael Karl, Juliane Gust, Carol B. Ware, Pei-Rong Wang, Roli K. Hirata, David W. Russell, Joseph C. Reynolds, Shereen Chew and Jie Zhu. Their work appears in journals such as Cell stem cell, Investigative Ophthalmology & Visual Science, PLoS ONE, Scientific Reports and Advances in experimental medicine and biology.
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.