Ralph Garippa

2.5k citations
42 papers · 1.3k · h-index 21

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • Receptor Mechanisms and Signaling 7
    • Pluripotent Stem Cells Research 5
    • Protein Hydrolysis and Bioactive Peptides 4
    • Chemical Synthesis and Analysis 4
    • Ion channel regulation and function 4
    • Neuropeptides and Animal Physiology 8

Ralph Garippa

41 papers receiving 1.3k citations

Peers

Ralph Garippa
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 277
  • Molecular Biology 901
  • Oncology 277
  • Aging 16
  • Cell Biology 136
Replace Anna M. Aragay with:
Anna M. Aragay Spain
Oliver Rausch United Kingdom
Christopher G. Armstrong United Kingdom
Myles Fennell United States
Jennifer J. Carlisle Michel United States
Michael F. Crouch Australia
Robert A. Horlick United States
Mohamed Abdouh Canada
Micah A. Chrenek United States
Charles L. Farnsworth United States
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Citations per field
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Anna M. Aragay · 1×
Citations per year

Countries citing papers authored by Ralph Garippa

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Garippa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013250
2 2016128
3 2017105
4 201796
5 199169
6 199458
7 199654
8 201654
9 199446
10 198542
11 202439
12 200336
13 201735
14 199634
15 200629
16 200526
17 201625
18 201824
19 202224
20 200622

About Ralph Garippa

Ralph Garippa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Organic Chemistry, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), CRISPR and Genetic Engineering (7 papers), Receptor Mechanisms and Signaling (7 papers), Pluripotent Stem Cells Research (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Chemical Synthesis and Analysis (4 papers), Ion channel regulation and function (4 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (277 citations), Molecular Biology (901 citations), Oncology (277 citations), Aging (16 citations) and Cell Biology (136 citations). Ralph Garippa has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include David Bolin, Mike O’Donnell, Ann F. Welton, Tamar Golan‐Lev, Martin Graf, Markus Boehringer, Alicia Leikin‐Frenkel, Uri Ben‐David, Payal Arora and Nissim Benvenisty. Their work appears in journals such as Blood, Nature Communications, FEBS Journal, Nature Biotechnology and Journal of Biological Chemistry.

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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