Daniel P. Joseph

2.5k citations
35 papers · 863 · h-index 15

Impact in

Papers in

Daniel P. Joseph

33 papers receiving 827 citations

Peers

Daniel P. Joseph
Comparison fields: 5 of 60
  • Ophthalmology 297
  • Radiology, Nuclear Medicine and Imaging 390
  • Cellular and Molecular Neuroscience 166
  • Molecular Biology 236
  • Physiology 12
Replace Margarita G. Todorova with:
Margarita G. Todorova Switzerland
Giancarlo Iarossi Italy
Shota Kojima Japan
Diya Yang China
G Ferrari-Dileo United States
Rand Spencer United States
Michele L. Archibald Canada
Anna Polosa Canada
Moshe Lusky Israel
Alessandro Galan Italy
Daniel P. Joseph relative to Margarita G. Todorova Switzerland Margarita G. Todorova's profile →
Citations per field
00.5×
Margarita G. Todorova · 1×
Citations per year

Countries citing papers authored by Daniel P. Joseph

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Joseph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991123
2 2003120
3 202072
4 200058
5 199256
6 202045
7 198844
8 200843
9 199738
10 202037
11 200330
12 199530
13 201525
14 201925
15 202024
16 202112
17 202011
18 20219
19 20048
20 20038

About Daniel P. Joseph

Daniel P. Joseph is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 35 papers that have together received 863 indexed citations. Recurring topics across this work include Retinal and Macular Surgery (18 papers), Retinal Diseases and Treatments (7 papers), Intraocular Surgery and Lenses (5 papers), Retinal Development and Disorders (4 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (3 papers), Retinal and Optic Conditions (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Ophthalmology (297 citations), Radiology, Nuclear Medicine and Imaging (390 citations), Cellular and Molecular Neuroscience (166 citations), Molecular Biology (236 citations) and Physiology (12 citations). Daniel P. Joseph has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Sheldon S. Miller, Kevin J. Blinder, Gaurav K. Shah, M. Gilbert Grand, Nancy M. Holekamp, Dante J. Pieramici, Norman J. Beauchamp, Dean Eliott, Sanjay Sharma and Jeffrey A. Bakal. Their work appears in journals such as Ophthalmic surgery, lasers & imaging retina, Retina, Ophthalmology, Current Opinion in Ophthalmology and The Journal of 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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