Matsuo So

518 citations
26 papers · 311 · h-index 10

Impact in

  • Neurology top 10%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antifungal resistance and susceptibility

Papers in

Matsuo So

22 papers receiving 303 citations

Peers

Matsuo So
Comparison fields: 5 of 49
  • Neurology 114
  • Infectious Diseases 130
  • Critical Care and Intensive Care Medicine 31
  • Internal Medicine 13
  • Pulmonary and Respiratory Medicine 58
Replace Philomène Lavis with:
Philomène Lavis Belgium
Laura Rodríguez‐Sotelo Spain
Kulachanya Suwanwongse United States
Erica Thwaite United Kingdom
Katherine Myall United Kingdom
Murat Seyit Türkiye
Martina Zappa Italy
С. А. Сапожников United States
Ludovic Gérard Belgium
Hanna Jerndal Sweden
Matsuo So relative to Philomène Lavis Belgium Philomène Lavis's profile →
Citations per field
00.5×4.3×
Philomène Lavis · 1×
Citations per year

Countries citing papers authored by Matsuo So

Since Specialization
Citations

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

Fields of papers citing papers by Matsuo So

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202279
2 202165
3 202223
4 201921
5 202115
6 202115
7 202113
8 202110
9 202110
10 20219
11 20218
12 20218
13 20237
14 20215
15 20234
16 20213
17 20213
18 20233
19 20193
20 20223

About Matsuo So

Matsuo So is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Neurology, Genetics and Surgery, having authored 26 papers that have together received 311 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), Long-Term Effects of COVID-19 (7 papers), Tracheal and airway disorders (4 papers), Respiratory Support and Mechanisms (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Antifungal resistance and susceptibility (2 papers), COVID-19 and healthcare impacts (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (114 citations), Infectious Diseases (130 citations), Critical Care and Intensive Care Medicine (31 citations), Internal Medicine (13 citations) and Pulmonary and Respiratory Medicine (58 citations). Matsuo So has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include Toshiki Kuno, Hisato Takagi, Hiroki Kabata, Koichi Fukunaga, Masao Iwagami, Natalia Egorova, Mai Takahashi, Atsuyuki Watanabe, David Steiger and Yoshihisa Miyamoto. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, Journal of Cardiology, Respiratory Medicine, Journal of Medical Virology and CHEST Journal.

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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