Michael T. Lee

26 papers receiving 1.3k citations

Peers

Michael T. Lee
Comparison fields: 5 of 128
  • Developmental Neuroscience 503
  • Critical Care and Intensive Care Medicine 427
  • Anesthesiology and Pain Medicine 349
  • Hematology 107
  • Marketing 72
Replace Patrick J. Lynch with:
Patrick J. Lynch United States
David M. Farrell United Kingdom
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Minoru Asahi Japan
Chen‐Ju Lin Taiwan
B. Mak Arvin United Kingdom
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Michael T. Lee relative to Patrick J. Lynch United States Patrick J. Lynch's profile →
Citations per field
00.5×10×20×32.8×
Patrick J. Lynch · 1×
Citations per year

Countries citing papers authored by Michael T. Lee

Since Specialization
Citations

This map shows the geographic impact of Michael T. Lee'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 T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lee more than expected).

Fields of papers citing papers by Michael T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael T. Lee, 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 Michael T. Lee Line = papers co-authored together Michael T. Lee 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 2009286
2 2009222
3 2020163
4 2016132
5 2009123
6 201694
7 201065
8 201064
9 202049
10 201635
11 201532
12 199020
13 201816
14 201510
15 20129
16
Culture and Management Control Systems in Today’s High-Performing Firms
20139
17 19909
18 20089
19 20178
20 20157

About Michael T. Lee

Michael T. Lee is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Strategy and Management, Sociology and Political Science and Developmental Neuroscience, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Bioinformatics and Genomic Networks (4 papers), Qualitative Comparative Analysis Research (3 papers), Management and Organizational Studies (3 papers), Business Strategy and Innovation (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Developmental Neuroscience (503 citations), Critical Care and Intensive Care Medicine (427 citations), Anesthesiology and Pain Medicine (349 citations), Hematology (107 citations) and Marketing (72 citations). Michael T. Lee has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Robyn L. Raschke, Jeffrey W. Sall, Greg Stratmann, Joseph S. Bell, Rehan S. Alvi, Jung-Hsien Chiang, Vinuta Rau, Kavel Visrodia, Kathy R. Magnusson and Leroy Hood. Their work appears in journals such as Anesthesiology, Journal of Business Research, Journal of Proteome Research, Pacing and Clinical Electrophysiology and Anesthesia & Analgesia.

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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