Luv Patel

1.1k citations
30 papers · 880 · h-index 11

Impact in

    • Retinal Diseases and Treatments
    • Intraocular Surgery and Lenses
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Luv Patel

30 papers receiving 860 citations

Peers

Luv Patel
Comparison fields: 5 of 52
  • Ophthalmology 90
  • Genetics 66
  • Radiology, Nuclear Medicine and Imaging 132
  • Molecular Biology 240
  • Oncology 39
Replace Michael H. Neale with:
Michael H. Neale United Kingdom
Kimberly W. McCrudden United States
Heike Zieher Germany
Erica Lorenzon Italy
Kunzang Chosdol India
Derek P. Logsdon United States
Judy Sing-Zan Wang United States
Salma Kaochar United States
Alexander P. Adler United States
Ruban Mangadu United States
Luv Patel relative to Michael H. Neale United Kingdom Michael H. Neale's profile →
Citations per field
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Michael H. Neale · 1×
Citations per year

Countries citing papers authored by Luv Patel

Since Specialization
Citations

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

Fields of papers citing papers by Luv Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013291
2 2013205
3 201588
4 202052
5 202035
6 202135
7 202023
8 202017
9 202217
10 202013
11 202113
12 202111
13 202110
14 20219
15 20228
16 20206
17 20216
18 20216
19 20226
20 20185

About Luv Patel

Luv Patel is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Public Health, Environmental and Occupational Health, Molecular Biology and Pathology and Forensic Medicine, having authored 30 papers that have together received 880 indexed citations. Recurring topics across this work include Retinal and Macular Surgery (18 papers), Cell death mechanisms and regulation (2 papers), Retinal Diseases and Treatments (2 papers), Telemedicine and Telehealth Implementation (1 paper), Ocular Oncology and Treatments (1 paper), FOXO transcription factor regulation (1 paper), COVID-19 and healthcare impacts (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Ophthalmology (90 citations), Genetics (66 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Molecular Biology (240 citations) and Oncology (39 citations). Luv Patel has collaborated with scholars based in United States and Canada. Frequent co-authors include David T. Dicker, Gen Sheng Wu, Patrick A. Mayes, Joshua E. Allen, Wafik S. El‐Deiry, Gabriel S. Krigsfeld, Matthew R. Starr, Michael J. Ammar, Jun-Ying Zhou and Akshal S. Patel. Their work appears in journals such as Retina, Ophthalmic surgery, lasers & imaging retina, Ophthalmology, Current Eye Research and Acta Ophthalmologica.

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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