Ian Lee

4.3k citations
81 papers · 1.6k · h-index 21

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Glioma Diagnosis and Treatment 19
    • Management of metastatic bone disease 7
    • Head and Neck Surgical Oncology 4

Ian Lee

74 papers receiving 1.6k citations

Peers

Ian Lee
Comparison fields: 5 of 126
  • Genetics 268
  • Cell Biology 373
  • Statistical and Nonlinear Physics 90
  • Molecular Medicine 33
  • Health Informatics 9
Replace Yoram Wasserman with:
Yoram Wasserman Israel
Patrizia Camelliti United Kingdom
Evren U. Azeloglu United States
Jennifer M. Munson United States
Dorit Goldsher Israel
Andrew M. Stein United States
Han Young Kim South Korea
Jody V. Vykoukal United States
Robert K. Doot United States
Rhima M. Coleman United States
Ian Lee relative to Yoram Wasserman Israel Yoram Wasserman's profile →
Citations per field
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Yoram Wasserman · 1×
Citations per year

Countries citing papers authored by Ian Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ian Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008404
2 201173
3 202172
4 201072
5 201564
6 201660
7 200656
8 200351
9 201751
10 201636
11 202135
12 201735
13 201830
14 201826
15 202225
16 201625
17 201824
18 202024
19 201822
20 201721

About Ian Lee

Ian Lee is a scholar working on Genetics, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Meningioma and schwannoma management (9 papers), Management of metastatic bone disease (7 papers), Brain Metastases and Treatment (6 papers), MRI in cancer diagnosis (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Head and Neck Surgical Oncology (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Genetics (268 citations), Cell Biology (373 citations), Statistical and Nonlinear Physics (90 citations), Molecular Medicine (33 citations) and Health Informatics (9 citations). Ian Lee has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Wanjin Hong, Ke Guo, Steven N. Kalkanis, Chee Peng Ng, Chun Jye Lim, Siew Wee Chan, Walter Hunziker, Qi Zeng, Adam Robin and Bart Kosko. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, Neurosurgery, Journal of neurosurgery and Frontiers in Neurology.

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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