Richard Binari

6.7k citations
40 papers · 4.5k indexed · 1 hit paper · h-index 29

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 6
    • CRISPR and Genetic Engineering 7
    • RNA Research and Splicing 5
    • Developmental Biology and Gene Regulation 5

Richard Binari

40 papers receiving 4.4k citations

Hit Papers

A genome-scale shRNA resource for transgenic RNAi in Drosophila 2011 · 605 citations
6052011202620162021200400600

Peers

Richard Binari
Comparison fields: 5 of 116
  • Aging 305
  • Cellular and Molecular Neuroscience 1.1k
  • Immunology 1.1k
  • Molecular Biology 3.0k
  • Cell Biology 691
Replace Masamitsu Yamaguchi with:
Masamitsu Yamaguchi Japan
Kristin White United States
Ross Cagan United States
David A. Wassarman United States
Hyung Don Ryoo United States
Ming Guo United States
Joshua S. Kaminker United States
Tso-Pang Yao United States
Stephanie E. Mohr United States
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Richard Binari relative to Masamitsu Yamaguchi Japan Masamitsu Yamaguchi's profile →
Citations per field
00.5×3.5×
Masamitsu Yamaguchi · 1×
Citations per year

Countries citing papers authored by Richard Binari

Since Specialization
Citations

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

Fields of papers citing papers by Richard Binari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 202225
3 20229
4 20217
5 202153
6 202034
7 201951
8 201957
9 201616
10 201558
11 201450
12 2014104
13
A genome-scale shRNA resource for transgenic RNAi in Drosophila
Hit paper breakdown →
2011605
14 201171
15 2009205
16 200948
17 200855
18 2007219
19 2005473
20 200278

About Richard Binari

Richard Binari is a scholar working on Aging, Molecular Biology, Cellular and Molecular Neuroscience, Immunology and Cell Biology, having authored 40 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), CRISPR and Genetic Engineering (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), RNA Research and Splicing (5 papers), Developmental Biology and Gene Regulation (5 papers), Invertebrate Immune Response Mechanisms (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Aging (305 citations), Cellular and Molecular Neuroscience (1.1k citations), Immunology (1.1k citations), Molecular Biology (3.0k citations) and Cell Biology (691 citations). Richard Binari has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Norbert Perrimon, Douglas A. Harrison, Michael Gilman, Lizabeth A. Perkins, Armen S. Manoukian, Rui Zhou, Matthew A. Booker, Theresa Stines Nahreini, Christians Villalta and Jian-Quan Ni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Developmental Cell, Nature Methods, Genes & Development and eLife.

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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