Jonathan Song

1.3k citations
41 papers · 948 · h-index 21

Impact in

Papers in

Jonathan Song

39 papers receiving 914 citations

Peers

Jonathan Song
Comparison fields: 5 of 90
  • Developmental Neuroscience 140
  • Ophthalmology 264
  • Radiology, Nuclear Medicine and Imaging 217
  • Biological Psychiatry 20
  • Cellular and Molecular Neuroscience 143
Replace Diana van Driel with:
Diana van Driel Australia
G. E. K. Novotny Germany
Siniša D. Grozdanić United States
Karen Chen United States
Eunha Park South Korea
Coca del Cerro United States
Hidetaka Maeda Japan
Erjun Ling United States
Eugene Drokhlyansky United States
Anuradha Dhingra United States
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Citations per field
00.5×2.9×
Diana van Driel · 1×
Citations per year

Countries citing papers authored by Jonathan Song

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200188
2 201359
3 201257
4 200653
5 200848
6 200947
7 200343
8 201042
9 200839
10 201037
11 200537
12 200934
13 199533
14 200631
15 201228
16 201028
17 200128
18 201526
19 201224
20 201423

About Jonathan Song

Jonathan Song is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Developmental Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 948 indexed citations. Recurring topics across this work include Corneal surgery and disorders (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Glaucoma and retinal disorders (5 papers), Microtubule and mitosis dynamics (3 papers), Intraocular Surgery and Lenses (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), Ocular Infections and Treatments (3 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (140 citations), Ophthalmology (264 citations), Radiology, Nuclear Medicine and Imaging (217 citations), Biological Psychiatry (20 citations) and Cellular and Molecular Neuroscience (143 citations). Jonathan Song has collaborated with scholars based in United States, Saudi Arabia and United Kingdom. Frequent co-authors include Ian D. Duncan, Brian D. Goetz, David Huang, Birgit Zipser, Peter W. Baas, Maolong Tang, Brandon W. Higgs, Kwang H. Choi, Maree J. Webster and Fangyuan Li. Their work appears in journals such as Cornea, Retina, Journal of Cataract & Refractive Surgery, BMC Psychiatry and Molecular and Cellular 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.

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