Murray Hong

1.7k citations
56 papers · 1.4k · h-index 21

Impact in

Papers in

Murray Hong

54 papers receiving 1.3k citations

Peers

Murray Hong
Comparison fields: 5 of 109
  • Developmental Neuroscience 339
  • Cellular and Molecular Neuroscience 796
  • Neurology 318
  • Anesthesiology and Pain Medicine 99
  • Genetics 97
Replace Kathia M. Johnson with:
Kathia M. Johnson United States
Andrew M. Tan United States
Manel M. Santafé Spain
Jérôme Bonnefont France
Meirion Davies United Kingdom
Neus García Spain
Seungsoo Chung South Korea
W. E. Watson United Kingdom
Sebastiaan van Gorp Netherlands
G. Ochs Germany
Murray Hong relative to Kathia M. Johnson United States Kathia M. Johnson's profile →
Citations per field
00.5×2.6×
Kathia M. Johnson · 1×
Citations per year

Countries citing papers authored by Murray Hong

Since Specialization
Citations

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

Fields of papers citing papers by Murray Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002126
2 200091
3 200390
4 199879
5 200373
6 199672
7 200059
8 200756
9 200851
10 199845
11 200644
12 200041
13 200838
14 199335
15 200932
16 200428
17 200326
18 200023
19 199222
20 199722

About Murray Hong

Murray Hong is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, Molecular Biology and Physiology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (23 papers), Neurogenesis and neuroplasticity mechanisms (17 papers), Neurological disorders and treatments (12 papers), Pluripotent Stem Cells Research (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (6 papers), Neuroscience and Neural Engineering (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Developmental Neuroscience (339 citations), Cellular and Molecular Neuroscience (796 citations), Neurology (318 citations), Anesthesiology and Pain Medicine (99 citations) and Genetics (97 citations). Murray Hong has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ivar Mendez, Brian Milne, I. Méndez, Karim Mukhida, Ian Gilron, Khem Jhamandas, H.A. Robertson, Damaso Sadi, Leo A. Behie and K. Adam Baker. Their work appears in journals such as Brain Research, Journal of neurosurgery, Neurosurgical FOCUS, Experimental Neurology and European Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact