Nilpa Shah

403 citations
19 papers · 272 indexed · h-index 10

Nilpa Shah

18 papers receiving 270 citations

Peers

Nilpa Shah
Comparison fields: 5 of 36
  • Ophthalmology 202
  • Radiology, Nuclear Medicine and Imaging 168
  • Epidemiology 182
  • Cognitive Neuroscience 63
  • Neurology 4
Replace Candice E. Clifford-Donaldson with:
Candice E. Clifford-Donaldson United States
Avesh Raghunandan United States
J. F. Leone Australia
Chau-Yin Chen Taiwan
Ralph Becker Germany
Peter C. K. Pang Hong Kong
Asieh Ehsaei Iran
Alison Bruce United Kingdom
Bidan Zhu China
Kenneth Grice United States
Nilpa Shah relative to Candice E. Clifford-Donaldson United States Candice E. Clifford-Donaldson's profile →
Citations per field
00.5×1.5×2.3×
Candice E. Clifford-Donaldson · 1×
Citations per year

Countries citing papers authored by Nilpa Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nilpa Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Nilpa Shah, 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 Nilpa Shah Line = papers co-authored together Nilpa Shah links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20232
2 20222
3 20221
4 20216
5 20180
6 201624
7 201611
8
Repeatability and inter-observer variability of in vivo retinal cone imaging using a modified Heidelberg Retinal Angiography (HRA2) in normal subjects
20152
9 201517
10 20145
11 201421
12
Visual Acuity Loss In Patients With AMD, Measured Using A Vanishing Optotype Letter Chart
20133
13 201218
14
The Effect of Blur on Detection and Recognition Thresholds Using Vanishing Optotypes in Peripheral Vision
20111
15 201133
16 201120
17 201031
18 201015
19 200760

About Nilpa Shah

Nilpa Shah is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 19 papers that have together received 272 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (12 papers), Ophthalmology and Visual Impairment Studies (12 papers), Retinal Diseases and Treatments (9 papers), Visual perception and processing mechanisms (5 papers), Glaucoma and retinal disorders (4 papers), Retinal and Optic Conditions (3 papers), Retinal Development and Disorders (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Ophthalmology (202 citations), Radiology, Nuclear Medicine and Imaging (168 citations) and Epidemiology (182 citations). Nilpa Shah has collaborated with scholars based in United Kingdom, New Zealand and Germany. Frequent co-authors include D A H Laidlaw, Roger S. Anderson, Steven C. Dakin, Vijay Tailor, Tony Redmond, Pirro G. Hysi, Catherine Egan, Adnan Tufail, Catey Bunce and Shaheen P. Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Ophthalmology and Investigative Ophthalmology & Visual Science.

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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