Ronald E. Haskell

518 citations
10 papers · 407 · h-index 9

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Cellular transport and secretion

Papers in

    • Virus-based gene therapy research 3
    • Animal Genetics and Reproduction 1
    • CRISPR and Genetic Engineering 2

Ronald E. Haskell

10 papers receiving 392 citations

Peers

Ronald E. Haskell
Comparison fields: 5 of 65
  • Physiology 32
  • Cell Biology 93
  • Physiology 142
  • Genetics 106
  • Cellular and Molecular Neuroscience 55
Replace Vitaliy V. Bondar with:
Vitaliy V. Bondar United States
Akbar Zeb Estonia
Ewa Liszewska Poland
Soledad Matus Chile
Sofia Hassiotis Australia
Henriette Skala France
Ok‐Ho Shin United States
Yujuan Hong China
Hiromichi Kondo Japan
Jay P. Ross Canada
Ronald E. Haskell relative to Vitaliy V. Bondar United States Vitaliy V. Bondar's profile →
Citations per field
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Vitaliy V. Bondar · 1×
Citations per year

Countries citing papers authored by Ronald E. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Ronald E. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald E. Haskell. 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 Ronald E. Haskell. The network helps show where Ronald E. Haskell may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200081
2 199974
3 201263
4 200350
5 199536
6 201436
7 199921
8 201220
9 199819
10 20017

About Ronald E. Haskell

Ronald E. Haskell is a scholar working on Genetics, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Epidemiology, having authored 10 papers that have together received 407 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (3 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers), Cellular transport and secretion (2 papers), Trypanosoma species research and implications (2 papers), Animal Genetics and Reproduction (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Physiology (32 citations), Cell Biology (93 citations), Physiology (142 citations), Genetics (106 citations) and Cellular and Molecular Neuroscience (55 citations). Ronald E. Haskell has collaborated with scholars based in United States. Frequent co-authors include Beverly L. Davidson, Richard A. Bowen, David E. Stec, Curt D. Sigmund, Robin L. Davisson, Joseph Martín Alisky, Stephanie M. Hughes, John A. Chiorini, Lu E. Jin and Thomas C. Foster. Their work appears in journals such as Experimental Neurology, Journal of Biological Chemistry, Human Molecular Genetics, Behavioural Brain Research and OncoImmunology.

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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