Lalit P. Singh

4.7k citations
43 papers · 1.7k · h-index 24

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 6
    • Redox biology and oxidative stress 4
    • Metabolism, Diabetes, and Cancer 3
    • Retinal Diseases and Treatments 12

Lalit P. Singh

42 papers receiving 1.7k citations

Peers

Lalit P. Singh
Comparison fields: 5 of 86
  • Ophthalmology 401
  • Clinical Biochemistry 263
  • Molecular Biology 986
  • Neurology 109
  • Physiology 64
Replace Amany Tawfik with:
Amany Tawfik United States
Takhellambam S. Devi United States
Kuo‐Chu Chang Taiwan
Qinghua Qiu China
Masakazu Mizutani Japan
C. Miller United States
Elena Beltramo Italy
Sampathkumar Rangasamy United States
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Citations per field
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Citations per year

Countries citing papers authored by Lalit P. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Lalit P. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lalit P. Singh. 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 Lalit P. Singh. The network helps show where Lalit P. Singh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009212
2 2012185
3 2010125
4 2013105
5 2017104
6 201396
7 201082
8 200669
9 202066
10 200157
11 201749
12 201949
13 200637
14 201435
15 200032
16 200431
17 202131
18
Mitophagy, Ferritinophagy and Ferroptosis in Retinal Pigment Epithelial Cells Under High Glucose Conditions: Implications for Diabetic Retinopathy and Age-Related Retinal Diseases.
202129
19 199627
20 199426

About Lalit P. Singh

Lalit P. Singh is a scholar working on Molecular Biology, Ophthalmology, Surgery, Clinical Biochemistry and Cell Biology, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (12 papers), Pancreatic function and diabetes (8 papers), Advanced Glycation End Products research (7 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Autophagy in Disease and Therapy (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Redox biology and oxidative stress (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Ophthalmology (401 citations), Clinical Biochemistry (263 citations), Molecular Biology (986 citations), Neurology (109 citations) and Physiology (64 citations). Lalit P. Singh has collaborated with scholars based in United States, Japan and Egypt. Frequent co-authors include Takhellambam S. Devi, Tetsuya Terasaki, Lorena Perrone, Ken‐ichi Hosoya, Errol D. Crook, Thangal Yumnamcha, Kwaku D. Nantwi, Renu A. Kowluru, Mallika Somayajulu and Maik Hüttemann. Their work appears in journals such as Journal of Investigative Medicine, Biochemical and Biophysical Research Communications, Biochemistry, Investigative Ophthalmology & Visual Science and American Journal of Physiology-Renal Physiology.

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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