Deepak A. Lamba

4.0k citations
49 papers · 3.0k · 1 hit paper · h-index 27

Impact in

Papers in

Deepak A. Lamba

47 papers receiving 2.9k citations

Deepak A. Lamba's Hit Papers

Efficient generation of retinal progenitor cells from human embryonic stem cells 2006 · 505 citations
5050+6+13Years since publication100200300400500

Peers

Deepak A. Lamba
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 957
  • Developmental Neuroscience 170
  • Ophthalmology 308
  • Molecular Biology 2.4k
  • Aging 27
Replace Alice Pébay with:
Alice Pébay Australia
David M. Gamm United States
Alan J. Mears Canada
Jason S. Meyer United States
Raymond C.B. Wong Australia
Tea Soon Park United States
Raffaella Scardigli Italy
Cheryl Y. Gregory‐Evans Canada
Ani V. Das United States
Lihua Y. Marmorstein United States
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Citations per field
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Citations per year

Countries citing papers authored by Deepak A. Lamba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient generation of retinal progenitor cells from human embryonic stem cells
Hit paper breakdown →
2006505
2 2009446
3 2010304
4 2016192
5 2008138
6 2009134
7 2010120
8 2011111
9 2019100
10 201391
11 201765
12 201764
13 200962
14 201161
15 201948
16 201747
17 202140
18 201140
19 200836
20 201531

About Deepak A. Lamba

Deepak A. Lamba is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 49 papers that have together received 3.0k indexed citations. Recurring topics across this work include Retinal Development and Disorders (34 papers), Neuroscience and Neural Engineering (12 papers), CRISPR and Genetic Engineering (12 papers), Pluripotent Stem Cells Research (11 papers), Photoreceptor and optogenetics research (8 papers), Retinal Diseases and Treatments (5 papers), Corneal Surgery and Treatments (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (957 citations), Developmental Neuroscience (170 citations), Ophthalmology (308 citations), Molecular Biology (2.4k citations) and Aging (27 citations). Deepak A. Lamba has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Thomas A. Reh, Michael Karl, Juliane Gust, Carol B. Ware, Roli K. Hirata, David W. Russell, Pei-Rong Wang, Shereen Chew, Joseph C. Reynolds and Jie Zhu. Their work appears in journals such as Cell stem cell, Investigative Ophthalmology & Visual Science, PLoS ONE, Translational Vision Science & Technology and Developmental 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.

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