Lwaki Ebarasi

2.0k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 10
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies 9
    • Chronic Kidney Disease and Diabetes 3
    • Zebrafish Biomedical Research Applications 3
    • Renal and related cancers 7
    • Angiogenesis and VEGF in Cancer 2
    • Pluripotent Stem Cells Research 1
  • Genetics top 10%
    • Genetic and Kidney Cyst Diseases 6
    • Barrier Structure and Function Studies 1

Lwaki Ebarasi

13 papers receiving 1.1k citations

Hit Papers

Reverse Genetic Screening Reveals Poor Correlation betwee...5582014202620182022100200300400500

Peers

Lwaki Ebarasi
Comparison fields: 5 of 94
  • Nephrology 198
  • Cell Biology 366
  • Molecular Biology 789
  • Genetics 195
  • Aging 12
Replace Meei‐Hua Lin with:
Meei‐Hua Lin United States
Juliette Hadchouel France
Tamás Arányi Hungary
Mirella Bruttini Italy
Steve Mangos United States
Shin‐ichiro Nishimatsu Japan
Rannar Airik United States
Robert J. Kolb United States
Joachim Gloy Germany
Jacinthe Sirois Canada
Lwaki Ebarasi relative to Meei‐Hua Lin United States Meei‐Hua Lin's profile →
Citations per field
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Meei‐Hua Lin · 1×
Citations per year

Countries citing papers authored by Lwaki Ebarasi

Since Specialization
Citations

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

Fields of papers citing papers by Lwaki Ebarasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202122
2 20202
3 20197
4 2017142
5 20154
6 201481
7 201424
8
Reverse Genetic Screening Reveals Poor Correlation between Morpholino-Induced and Mutant Phenotypes in Zebrafishbreakdown →
2014558
9 201134
10 201130
11 201154
12 200958
13 2007122

About Lwaki Ebarasi

Lwaki Ebarasi is a scholar working on Nephrology, Genetics and Cell Biology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Renal and related cancers (7 papers), Genetic and Kidney Cyst Diseases (6 papers), Zebrafish Biomedical Research Applications (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Barrier Structure and Function Studies (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Nephrology (198 citations), Cell Biology (366 citations) and Molecular Biology (789 citations). Lwaki Ebarasi has collaborated with scholars based in Sweden, United States and Singapore. Frequent co-authors include Christer Betsholtz, Nathan D. Lawson, Ann S. Grosse, Fatma O. Kok, Chih‐Wen Ni, Dana F. DeSantis, Josi Peterson-Maduro, Ira Male, Bettina C. Kirchmaier and Masahiro Shin. Their work appears in journals such as Genes & Development, Cell Metabolism and Scientific Reports.

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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