Barbara J. McLaughlin

3.1k citations
73 papers · 2.6k · h-index 26

Impact in

Papers in

Barbara J. McLaughlin

73 papers receiving 2.5k citations

Peers

Barbara J. McLaughlin
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 161
  • Neurology 299
  • Ophthalmology 254
  • Cell Biology 384
Replace M. Tsacopoulos with:
M. Tsacopoulos Switzerland
Masasuke Araki Japan
Peter Mobbs United Kingdom
G. Pilar United States
John T. Schmidt United States
Ana Marı́a López-Colomé Mexico
Naomasa Miki Japan
Michael Rasminsky Canada
Ning Tian China
Nigel G. F. Cooper United States
Barbara J. McLaughlin relative to M. Tsacopoulos Switzerland M. Tsacopoulos's profile →
Citations per field
00.5×2.7×
M. Tsacopoulos · 1×
Citations per year

Countries citing papers authored by Barbara J. McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Barbara J. McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara J. McLaughlin. 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 Barbara J. McLaughlin. The network helps show where Barbara J. McLaughlin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978281
2 1974273
3 1975241
4 1972129
5 1975110
6 197789
7 197484
8 197278
9 199969
10 197262
11 197556
12 198051
13 198551
14 199351
15 199450
16 198046
17 200145
18 197643
19 197743
20 200342

About Barbara J. McLaughlin

Barbara J. McLaughlin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Retinal Development and Disorders (23 papers), Neuroscience and Neuropharmacology Research (18 papers), Cellular transport and secretion (14 papers), Retinal Diseases and Treatments (12 papers), Connexins and lens biology (9 papers), Lipid Membrane Structure and Behavior (9 papers), Corneal surgery and disorders (7 papers) and Corneal Surgery and Treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (161 citations), Neurology (299 citations), Ophthalmology (254 citations) and Cell Biology (384 citations). Barbara J. McLaughlin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John G. Wood, Robert P. Barber, Kihachi Saito, Eugene Roberts, Jang‐Yen Wu, James E. Vaughn, Ruth B. Caldwell, Thomas O. Wood, Nigel G. F. Cooper and Lou G. Boykins. Their work appears in journals such as Current Eye Research, The Journal of Comparative Neurology, Journal of Neurocytology, Experimental Eye Research and Brain Research.

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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