Steven E. Kornguth

2.7k citations
101 papers · 2.3k · h-index 27

Impact in

Papers in

Steven E. Kornguth

100 papers receiving 2.1k citations

Peers

Steven E. Kornguth
Comparison fields: 5 of 135
  • Developmental Neuroscience 118
  • Neurology 392
  • Ophthalmology 180
  • Cellular and Molecular Neuroscience 361
  • Neurology 142
Replace Yoko Ishii with:
Yoko Ishii Japan
M. B. Segal United Kingdom
Pieter J. Gaillard Netherlands
Joachim Kappler Germany
Robert McFarland United Kingdom
Jane E. Preston United Kingdom
Christopher Thrasivoulou United Kingdom
Sung Hyun Kim South Korea
Yoshito Kinoshita United States
Altan Rentsendorj United States
Steven E. Kornguth relative to Yoko Ishii Japan Yoko Ishii's profile →
Citations per field
00.5×3.8×
Yoko Ishii · 1×
Citations per year

Countries citing papers authored by Steven E. Kornguth

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Kornguth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Kornguth. 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 Steven E. Kornguth. The network helps show where Steven E. Kornguth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994152
2 1995120
3 1991102
4 197298
5 198296
6 197994
7 199886
8 199484
9 198784
10 198767
11 198866
12 196856
13 197549
14 199945
15 198045
16 196742
17 196542
18 196638
19 196138
20 196936

About Steven E. Kornguth

Steven E. Kornguth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Pediatrics, Perinatology and Child Health, having authored 101 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Retinal Development and Disorders (11 papers), Glycosylation and Glycoproteins Research (8 papers), Glutathione Transferases and Polymorphisms (8 papers), Biochemical effects in animals (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Autoimmune Neurological Disorders and Treatments (5 papers). The work is most often cited by research in Developmental Neuroscience (118 citations), Neurology (392 citations), Ophthalmology (180 citations), Cellular and Molecular Neuroscience (361 citations) and Neurology (142 citations). Steven E. Kornguth has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Grayson Scott, John W. Anderson, Brian L. Frey, Robert M. Corn, Frank L. Siegel, Lawrence G. Tomasi, Mark A. Stahmann, Patrick A. Turski, Claire E. Jordan and Lynda S. Wright. Their work appears in journals such as Brain Research, Neurology, Electrophoresis, The Journal of Comparative Neurology and Journal of Neurochemistry.

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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