Lisa Ebihara

3.9k citations
45 papers · 3.1k indexed · h-index 29

Lisa Ebihara

45 papers receiving 3.0k citations

Peers

Lisa Ebihara
Comparison fields: 5 of 104
  • Molecular Biology 2.7k
  • Endocrine and Autonomic Systems 194
  • Cardiology and Cardiovascular Medicine 579
  • Genetics 651
  • Cellular and Molecular Neuroscience 398
Replace Alonso P. Moreno with:
Alonso P. Moreno United States
Richard D. Veenstra United States
Elizabeth M. Sharp Ireland
Carlos G. Vanoye United States
Joel A. Hirsch Israel
Michael Kreman United States
Martin B. Rook Netherlands
Jean‐Marc Dubois France
Margaret H. Butler United States
Mark P. Gray-Keller United States
Lisa Ebihara relative to Alonso P. Moreno United States Alonso P. Moreno's profile →
Citations per field
00.5×1.5×2.1×
Alonso P. Moreno · 1×
Citations per year

Countries citing papers authored by Lisa Ebihara

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Ebihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20219
3 201412
4 201386
5
The GJA8 allele encoding CX50I247M is a rare polymorphism, not a cataract-causing mutation.
200912
6 200763
7 200639
8 2006380
9 200645
10 200555
11 200433
12 200378
13 200314
14 200375
15 200244
16 200155
17
Characterization of a mouse Cx50 mutation associated with the No2 mouse cataract.
199941
18 1996126
19 199599
20 198097

About Lisa Ebihara

Lisa Ebihara is a scholar working on Sensory Systems, Molecular Biology and Genetics, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Connexins and lens biology (37 papers), Nicotinic Acetylcholine Receptors Study (18 papers), Yersinia bacterium, plague, ectoparasites research (14 papers), Ion channel regulation and function (13 papers), Heat shock proteins research (11 papers), Neuroscience and Neural Engineering (7 papers), Biochemical effects in animals (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Endocrine and Autonomic Systems (194 citations) and Cardiology and Cardiovascular Medicine (579 citations). Lisa Ebihara has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Eric C. Beyer, Viviana M. Berthoud, Edward A. Johnson, Katherine I. Swenson, L. Takemoto, David L. Paul, Daniel A. Goodenough, Xiaoqin Liu, Junjie Tong and Jay D. Pal. Their work appears in journals such as Biophysical Journal, American Journal of Physiology-Cell Physiology, The Journal of Membrane Biology, Investigative Ophthalmology & Visual Science 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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