Laszlo Stein

1.9k citations
26 papers · 1.2k · h-index 15

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics

Papers in

Laszlo Stein

26 papers receiving 1.2k citations

Peers

Laszlo Stein
Comparison fields: 5 of 95
  • Sensory Systems 369
  • Parasitology 471
  • Cognitive Neuroscience 451
  • Virology 89
  • Neurology 132
Replace Aileen Kenneson with:
Aileen Kenneson United States
Arthur J. Dahle United States
Danielle S. Ross United States
Luciana Macedo de Resende Brazil
Faye P. McCollister United States
Denise Utsch Gonçalves Brazil
Greg E. Davis United States
Anna M.H. Korver Netherlands
Christian Desloovere Belgium
Richard Lechtenberg United States
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Citations per field
00.5×3.9×
Aileen Kenneson · 1×
Citations per year

Countries citing papers authored by Laszlo Stein

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994259
2 1982163
3 1996151
4 1984138
5 199682
6 198370
7 198354
8 199748
9 200041
10 199240
11 198336
12 198431
13 198724
14
The child with congenital toxoplasmosis.
200020
15 198120
16
Psychosocial adaptation of children and their parents to hospital and home hemodialysis.
198414
17 198714
18 196010
19 19637
20 19846

About Laszlo Stein

Laszlo Stein is a scholar working on Cognitive Neuroscience, Sensory Systems, Parasitology, Speech and Hearing and Virology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (10 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers), Toxoplasma gondii Research Studies (5 papers), Rabies epidemiology and control (3 papers), Noise Effects and Management (3 papers), Herpesvirus Infections and Treatments (3 papers), Phonocardiography and Auscultation Techniques (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Sensory Systems (369 citations), Parasitology (471 citations), Cognitive Neuroscience (451 citations), Virology (89 citations) and Neurology (132 citations). Laszlo Stein has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Nina Kraus, Özcan Özdamar, Daniel B. Hier, Shawn Withers, Ellen Holfels, Nancy Roizen, Dushyant V. Patel, Rima McLeod, Charles N. Swisher and Douglas G. Mack. Their work appears in journals such as Ear and Hearing, The Laryngoscope, American Journal of Ophthalmology, Otolaryngology and Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section.

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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