Michael Song

1.4k total citations
35 papers, 670 citations indexed

About

Michael Song is a scholar working on Epidemiology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Song has authored 35 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 8 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Song's work include Liver Disease Diagnosis and Treatment (8 papers), Glaucoma and retinal disorders (4 papers) and Liver Disease and Transplantation (4 papers). Michael Song is often cited by papers focused on Liver Disease Diagnosis and Treatment (8 papers), Glaucoma and retinal disorders (4 papers) and Liver Disease and Transplantation (4 papers). Michael Song collaborates with scholars based in United States, Canada and Singapore. Michael Song's co-authors include Lawrence D. Dorr, Rafael Ortega, Anil S. Ranawat, Paul G. Barash, Vincent Chen, Esme Fuller‐Thomson, Edward J. McPherson, Paul Holtom, Michael J. Patzakis and Alice Tung Wan Song and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Michael Song

33 papers receiving 644 citations

Peers

Michael Song
Comparison fields: 5 of 99
  • Surgery 240
  • Epidemiology 133
  • Emergency Medical Services 87
  • Immunology 67
  • Molecular Biology 57
Replace Myung Kwan Lim with:
Myung Kwan Lim South Korea
Hayriye Sayarlıoğlu Türkiye
Anja Sander Germany
Giambattista Ravera Italy
Suzanne El‐Sayegh United States
Arun Gupta India
Marco Orlandi United Kingdom
Raja Sawaya Lebanon
Kazem Heidari Iran
Amir Ibrahim Lebanon
Myung Kwan Lim South Korea View profile →
Citations per field, relative to Michael Song
Michael Song · 1×
Citations per year, relative to Michael Song
Michael Song · 1×

Countries citing papers authored by Michael Song

Since Specialization
Citations

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

Fields of papers citing papers by Michael Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Song

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Song. A scholar is included among the top collaborators of Michael 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 Michael Song. Michael Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 9
5 2
6 37
7 15
8 8
9 8
10 10
11 41
12 6
13 3
14 65
15 31
16 18
17 39
18 41
19 59
20 61

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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