Mayumi Horibe
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Bala G. NairShu-Fang NewmanDavid E. ListonTrevor AdamsMonica S. VavilalaMichael J. EissesJerry W. KimSu‐In Lee
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (12 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers)Anesthesia and Sedative Agents (6 papers)
- Journals
- CirculationPLoS ONEAnesthesiology
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Mayumi Horibe
35 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Cardiology and Cardiovascular Medicine 432
- Surgery 338
- Artificial Intelligence 328
- Pulmonary and Respiratory Medicine 298
- Molecular Biology 201
Countries citing papers authored by Mayumi Horibe
This map shows the geographic impact of Mayumi Horibe'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 Mayumi Horibe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayumi Horibe more than expected).
Fields of papers citing papers by Mayumi Horibe
This network shows the impact of papers produced by Mayumi Horibe. 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 Mayumi Horibe. The network helps show where Mayumi Horibe may publish in the future.
Co-authorship network of co-authors of Mayumi Horibe
This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Horibe. A scholar is included among the top collaborators of Mayumi Horibe 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 Mayumi Horibe. Mayumi Horibe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | Explainable machine-learning predictions for the prevention of hypoxaemia during surgerybreakdown → | 1226 |
| 3 | 22 | |
| 4 | 3 | |
| 5 | 25 | |
| 6 | 1 | |
| 7 | 49 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 49 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 170 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 6 | |
| 19 | [Clinical observation of hemodynamic changes during anaphylactic reaction]. | 2 |
| 20 | [Conversion to 2nd degree from 1st degree atrioventricular (AV) block by the reversal of neuromuscular blockade]. | 2 |
About Mayumi Horibe
Mayumi Horibe is a scholar working on Health Informatics, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (12 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers) and Anesthesia and Sedative Agents (6 papers). The work is most often cited by research in Health Informatics (151 citations), Health Information Management (98 citations) and Cardiology and Cardiovascular Medicine (432 citations). Mayumi Horibe has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Bala G. Nair, Shu-Fang Newman, David E. Liston, Trevor Adams, Monica S. Vavilala, Michael J. Eisses, Jerry W. Kim, Su‐In Lee, Scott Lundberg and Paul A. Murray. Their work appears in journals such as Circulation, PLoS ONE and Anesthesiology.
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.