Mi‐Kyoung Song

19 total papers · 558 total citations
15 papers, 396 citations indexed

About

Mi‐Kyoung Song is a scholar working on Ophthalmology, Epidemiology and Virology. According to data from OpenAlex, Mi‐Kyoung Song has authored 15 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ophthalmology, 6 papers in Epidemiology and 4 papers in Virology. Recurrent topics in Mi‐Kyoung Song's work include Ocular Diseases and Behçet’s Syndrome (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and HIV Research and Treatment (4 papers). Mi‐Kyoung Song is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (6 papers), Cytomegalovirus and herpesvirus research (6 papers) and HIV Research and Treatment (4 papers). Mi‐Kyoung Song collaborates with scholars based in United States and South Korea. Mi‐Kyoung Song's co-authors include G M Lui, William R. Freeman, MARIETTA P. KARAVELLAS, Uğur Özerdem, Francesca J. Torriani, Jonathan Macdonald, Lingyun Cheng, William R. Freeman, Lingyun Cheng and Stanley P. Azen and has published in prestigious journals such as Brain Research, Ophthalmology and Journal of Cellular Physiology.

In The Last Decade

Mi‐Kyoung Song

13 papers receiving 376 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mi‐Kyoung Song 249 178 82 77 53 15 396
R C Humphry 247 1.0× 88 0.5× 43 0.5× 138 1.8× 11 0.2× 17 357
Isaac Gutman 226 0.9× 75 0.4× 58 0.7× 101 1.3× 12 0.2× 25 378
Jie Zhang 241 1.0× 68 0.4× 108 1.3× 61 0.8× 10 0.2× 18 368
G. J. van den Horn 137 0.6× 177 1.0× 111 1.4× 11 0.1× 41 0.8× 16 444
Carl L. Fetkenhour 249 1.0× 88 0.5× 65 0.8× 94 1.2× 28 0.5× 15 357
Roberta H. Meyers-Elliott 223 0.9× 176 1.0× 108 1.3× 47 0.6× 11 0.2× 18 399
D. H. Nicholson 209 0.8× 103 0.6× 37 0.5× 27 0.4× 13 0.2× 13 352
C. Schwartz 192 0.8× 105 0.6× 90 1.1× 134 1.7× 8 0.2× 17 378
Derek J. Royer 62 0.2× 192 1.1× 52 0.6× 61 0.8× 13 0.2× 21 388
S Ghose 200 0.8× 87 0.5× 55 0.7× 76 1.0× 4 0.1× 34 378

Countries citing papers authored by Mi‐Kyoung Song

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Kyoung Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mi‐Kyoung Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mi‐Kyoung Song. A scholar is included among the top collaborators of Mi‐Kyoung Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mi‐Kyoung Song. Mi‐Kyoung Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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