David I. Kaufman

5.0k total citations · 1 hit paper
61 papers, 2.9k citations indexed

About

David I. Kaufman is a scholar working on Ophthalmology, Molecular Biology and Neurology. According to data from OpenAlex, David I. Kaufman has authored 61 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ophthalmology, 15 papers in Molecular Biology and 14 papers in Neurology. Recurrent topics in David I. Kaufman's work include Retinal and Optic Conditions (16 papers), Retinal Development and Disorders (11 papers) and Multiple Sclerosis Research Studies (8 papers). David I. Kaufman is often cited by papers focused on Retinal and Optic Conditions (16 papers), Retinal Development and Disorders (11 papers) and Multiple Sclerosis Research Studies (8 papers). David I. Kaufman collaborates with scholars based in United States, Canada and Finland. David I. Kaufman's co-authors include Roy W. Beck, Gastone G. Celesia, Mark J. Kupersmith, Patricia A. Cleary, Jonathan D. Trobe, Eric Eggenberger, C. Hendricks Brown, Donald W. Paty, John L. Keltner and William T. Shults and has published in prestigious journals such as New England Journal of Medicine, NeuroImage and Neurology.

In The Last Decade

David I. Kaufman

58 papers receiving 2.8k citations

Hit Papers

A Randomized, Controlled Trial of Corticosteroids in the ... 1992 2026 2003 2014 1992 250 500 750

Peers

David I. Kaufman
Comparison fields: 5 of 124
  • Pathology and Forensic Medicine 1.2k
  • Ophthalmology 988
  • Neurology 976
  • Molecular Biology 473
  • Cognitive Neuroscience 402
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Citations per field, relative to David I. Kaufman
David I. Kaufman · 1×
Citations per year, relative to David I. Kaufman
David I. Kaufman · 1×

Countries citing papers authored by David I. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by David I. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David I. Kaufman. 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 David I. Kaufman. The network helps show where David I. Kaufman may publish in the future.

Co-authorship network of co-authors of David I. Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of David I. Kaufman. A scholar is included among the top collaborators of David I. Kaufman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David I. Kaufman. David I. Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 2
3 46
4 42
5 9
6 76
7 1
8 10
9 79
10 109
11 39
12 0
13 29
14
The pattern visual evoked potential. A multicenter study using standardized techniques
3
15 16
16 20
17 16
18 387
19 5
20 28

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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