G. Ralph

3.3k citations
28 papers · 2.2k · h-index 19

Impact in

Papers in

G. Ralph

26 papers receiving 2.2k citations

Peers

G. Ralph
Comparison fields: 5 of 100
  • Genetics 461
  • Cellular and Molecular Neuroscience 807
  • Neurology 576
  • Developmental Neuroscience 97
  • Neurology 187
Replace Christopher Grunseich with:
Christopher Grunseich United States
Liang‐Fong Wong United Kingdom
Gist F. Croft United States
Klaus Wagner Austria
Corinna Schneider Switzerland
Martine Barkats France
Carmen Cifuentes-Díaz France
Dong‐Youn Hwang South Korea
Peter K. Todd United States
Mark E. Hester United States
G. Ralph relative to Christopher Grunseich United States Christopher Grunseich's profile →
Citations per field
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Christopher Grunseich · 1×
Citations per year

Countries citing papers authored by G. Ralph

Since Specialization
Citations

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

Fields of papers citing papers by G. Ralph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004467
2 2005375
3 1999255
4 2004183
5 2004158
6 2009133
7 2018107
8 201788
9 200372
10 200451
11 200148
12 200041
13 200439
14 201031
15 200128
16 200527
17 201624
18 200522
19 201919
20 200116

About G. Ralph

G. Ralph is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Cognitive Neuroscience, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Virus-based gene therapy research (5 papers), Neuroscience and Neuropharmacology Research (4 papers), RNA Interference and Gene Delivery (4 papers), Nerve injury and regeneration (4 papers), Autism Spectrum Disorder Research (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Genetics (461 citations), Cellular and Molecular Neuroscience (807 citations), Neurology (576 citations), Developmental Neuroscience (97 citations) and Neurology (187 citations). G. Ralph has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Kyriacos Mitrophanous, Nicholas D. Mazarakis, Mimoun Azzouz, Susan M. Kingsman, James B. Uney, Lucy E. Walmsley, Jeremy M. Henley, Graham L. Collingridge, Peter Carmeliet and Erik Storkebaum. Their work appears in journals such as Molecular and Cellular Neuroscience, Neuroreport, Human Gene Therapy, Neurotherapeutics and Life Sciences.

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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