Matthew Lee

7.0k citations
73 papers · 5.4k indexed · 1 hit paper · h-index 19

Matthew Lee

65 papers receiving 5.4k citations

Hit Papers

Calculating Structures and Free Energies of Complex Molec...4.0k200020262008201710002.0k3.0k4.0k

Peers

Matthew Lee
Comparison fields: 5 of 168
  • Health Informatics 108
  • Computational Theory and Mathematics 939
  • Molecular Biology 3.3k
  • Virology 152
  • Toxicology 92
Replace Chiranjib Chakraborty with:
Chiranjib Chakraborty India
Tim Guilliams United Kingdom
Hao Zhang China
Peter Kirkpatrick United States
Ritu Aneja United States
Punit Kaur India
Marián Hajdúch Czechia
Mostafa Rezaei–Tavirani Iran
Emily Crawford United States
Weiwei Xue China
Matthew Lee relative to Chiranjib Chakraborty India Chiranjib Chakraborty's profile →
Citations per field
00.5×3.2×
Chiranjib Chakraborty · 1×
Citations per year

Countries citing papers authored by Matthew Lee

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20240
4 20231
5 20230
6 20224
7 20221
8 20211
9 20212
10 202020
11
Cold Hands Warm Heart: Does Hand Rubbing Really Make A Difference?
20191
12 2018267
13 20176
14 201622
15 201510
16 201525
17 201426
18 2003147
19 20027
20 20027

About Matthew Lee

Matthew Lee is a scholar working on Health Informatics, Otorhinolaryngology and Urology, having authored 73 papers that have together received 5.4k indexed citations. Recurring topics across this work include Nasal Surgery and Airway Studies (8 papers), Reconstructive Surgery and Microvascular Techniques (6 papers), Cleft Lip and Palate Research (5 papers), Periodontal Regeneration and Treatments (5 papers), Head and Neck Surgical Oncology (4 papers), Patient-Provider Communication in Healthcare (4 papers), Craniofacial Disorders and Treatments (4 papers) and Sinusitis and nasal conditions (4 papers). The work is most often cited by research in Health Informatics (108 citations), Computational Theory and Mathematics (939 citations) and Molecular Biology (3.3k citations). Matthew Lee has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Shuanghong Huo, Lillian T. Chong, Wei Wang, Carolina Reyes, Tai‐Sung Lee, Piotr Cieplak, Irina Massova, Bernd Kuhn, Thomas E. Cheatham and Peter A. Kollman. Their work appears in journals such as American Journal of Otolaryngology, Otolaryngology, Annals of Otology Rhinology & Laryngology, British Journal of Haematology and Injury.

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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