Mark Lee

1.7k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Mark Lee is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Physiology. According to data from OpenAlex, Mark Lee has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 7 papers in Physiology. Recurrent topics in Mark Lee's work include Voice and Speech Disorders (5 papers), Surgical Simulation and Training (5 papers) and Tracheal and airway disorders (4 papers). Mark Lee is often cited by papers focused on Voice and Speech Disorders (5 papers), Surgical Simulation and Training (5 papers) and Tracheal and airway disorders (4 papers). Mark Lee collaborates with scholars based in United States, Australia and Canada. Mark Lee's co-authors include Rick Abbott, Michael H. Handler, Tara Maddala, Dejan Knezevic, Cristina Magi‐Galluzzi, Eric A. Klein, Sara M. Falzarano, Diana B. Cherbavaz, Matthew R. Cooperberg and Athanasios C. Tsiatis and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Blood.

In The Last Decade

Mark Lee

36 papers receiving 1.1k citations

Hit Papers

A 17-gene Assay to Predict Prostate Cancer Aggressiveness... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Mark Lee
Comparison fields: 5 of 96
  • Pulmonary and Respiratory Medicine 559
  • Surgery 243
  • Cellular and Molecular Neuroscience 201
  • Cancer Research 196
  • Public Health, Environmental and Occupational Health 143
Replace I‐Wen Pan with:
I‐Wen Pan United States
Ivo S. Muskens United States
David J. McCarthy United States
Sameer Chopra United States
D.A. Piers Netherlands
Birgitte Grønkær Toft Denmark
Kiyohiko Sakamoto Japan
Vincenzo De Marco Italy
Joseph Anderson United States
Harry C. Miller United States
I‐Wen Pan United States View profile →
Citations per field, relative to Mark Lee
Mark Lee · 1×
Citations per year, relative to Mark Lee
Mark Lee · 1×

Countries citing papers authored by Mark Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Lee. A scholar is included among the top collaborators of Mark Lee 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 Mark Lee. Mark Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 7
3 0
4 2
5 1
6 3
7 4
8 20
9 12
10 17
11 7
12 17
13 17
14
A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling breakdown →
447
15 3
16 32
17 74
18 62
19 27
20 39

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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