John M. Lee

208 papers receiving 9.7k citations

John M. Lee's Hit Papers

Introduction to Riemannian Manifolds 2018 · 268 citations
2680+13+26Years since publication2505007501000

Peers

John M. Lee
Comparison fields: 5 of 199
  • Applied Mathematics 2.4k
  • Geometry and Topology 1.6k
  • Mathematical Physics 1.2k
  • Otorhinolaryngology 361
  • Computational Mathematics 51
Replace Róbert Hermann with:
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Citations per field
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Citations per year

Countries citing papers authored by John M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by John M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Introduction to Smooth Manifolds
Hit paper breakdown →
20121010
2
The Yamabe problem
Hit paper breakdown →
1987614
3
Introduction to Smooth Manifolds
Hit paper breakdown →
2003572
4 2000397
5
Riemannian Manifolds: An Introduction to Curvature
Hit paper breakdown →
1997378
6 2006277
7
Introduction to Riemannian Manifolds
Hit paper breakdown →
2018268
8 2004230
9 1989230
10 1991223
11 1997222
12 2001221
13 1993208
14 2000201
15 1987199
16 2010197
17 1988176
18 2001171
19 1995161
20 1998125

About John M. Lee

John M. Lee is a scholar working on Otorhinolaryngology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Surgery, having authored 214 papers that have together received 10.3k indexed citations. Recurring topics across this work include Sinusitis and nasal conditions (36 papers), Alzheimer's disease research and treatments (15 papers), Head and Neck Surgical Oncology (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Geometric Analysis and Curvature Flows (11 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Receptor Mechanisms and Signaling (9 papers) and Holomorphic and Operator Theory (9 papers). The work is most often cited by research in Applied Mathematics (2.4k citations), Geometry and Topology (1.6k citations), Mathematical Physics (1.2k citations), Otorhinolaryngology (361 citations) and Computational Mathematics (51 citations). John M. Lee has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Thomas H. Parker, David Jerison, C. Robin Graham, Christopher J. Ladner, Günther Uhlmann, Nancy A. Muma, Benjamin Wolozin, Carol J. Soroka, Leonard Petrucelli and Neelima B. Chauhan. Their work appears in journals such as International Forum of Allergy & Rhinology, Journal of Otolaryngology - Head and Neck Surgery, Journal of Neuropathology & Experimental Neurology, The Laryngoscope and American Journal of Rhinology and Allergy.

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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