Ajit Sinha

972 citations
26 papers · 624 indexed · h-index 15

Impact in

Papers in

Ajit Sinha

26 papers receiving 602 citations

Peers

Ajit Sinha
Comparison fields: 5 of 55
  • Ophthalmology 535
  • Radiology, Nuclear Medicine and Imaging 459
  • Epidemiology 269
  • Pathology and Forensic Medicine 38
  • Public Health, Environmental and Occupational Health 59
Replace Li-Quan Zhao with:
Li-Quan Zhao China
Arshia Matin Germany
Giovanni Cillino Italy
R Krishnadas India
Gabriele C. Gusek-Schneider Germany
Seung-Young Yu South Korea
Andrew Braganza India
Joe G. Devereux United Kingdom
Simonetta Morselli Italy
J. Deneen United States
Ajit Sinha relative to Li-Quan Zhao China Li-Quan Zhao's profile →
Citations per field
00.5×1.6×
Li-Quan Zhao · 1×
Citations per year

Countries citing papers authored by Ajit Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20165
2 201628
3 201344
4 201342
5 20139
6 201315
7 201223
8 201229
9 201214
10 201110
11 201136
12 201112
13 201116
14 201136
15 201114
16 201111
17 201090
18 201035
19 201089
20
Combined trabeculectomy and cataract extraction
19831

About Ajit Sinha

Ajit Sinha is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Developmental Biology, Epidemiology and Biochemistry, having authored 26 papers that have together received 624 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (18 papers), Ophthalmology and Visual Impairment Studies (14 papers), Corneal surgery and disorders (12 papers), Retinal Diseases and Treatments (11 papers), Retinal Imaging and Analysis (5 papers), Cerebral Venous Sinus Thrombosis (2 papers), Retinal and Optic Conditions (1 paper) and Congenital limb and hand anomalies (1 paper). The work is most often cited by research in Ophthalmology (535 citations), Radiology, Nuclear Medicine and Imaging (459 citations), Epidemiology (269 citations), Pathology and Forensic Medicine (38 citations) and Public Health, Environmental and Occupational Health (59 citations). Ajit Sinha has collaborated with scholars based in Germany, India and China. Frequent co-authors include Jost B. Jonas, Vinay Nangia, Arshia Matin, Maithili Kulkarni, Anshu Khare, Vinay Nangia, Rajesh Gupta, Songhomitra Panda‐Jonas, Shubhra Agarwal and Krishna Bhojwani. Their work appears in journals such as PLoS ONE, Ophthalmology, Acta Ophthalmologica, Investigative Ophthalmology & Visual Science and Clinical and Experimental Ophthalmology.

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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