Ker‐Ai Lee

3.3k citations
54 papers · 2.4k · h-index 22

Impact in

  • Hematology top 2%
    • Autoimmune and Inflammatory Disorders Research
  • Oncology top 5%
    • Bone health and treatments
    • Cancer Diagnosis and Treatment

Papers in

    • Spondyloarthritis Studies and Treatments 13
    • Rheumatoid Arthritis Research and Therapies 5
    • Psoriasis: Treatment and Pathogenesis 12

Ker‐Ai Lee

54 papers receiving 2.3k citations

Peers

Ker‐Ai Lee
Comparison fields: 5 of 124
  • Hematology 450
  • Oncology 973
  • Rheumatology 515
  • Biochemistry 167
  • Immunology 483
Replace Monia Marchetti with:
Monia Marchetti Italy
Marco Vignetti Italy
Maureen McMahon United States
Andrew Webb United Kingdom
Sarah Brown United Kingdom
Stefania Galimberti Italy
Mark D. Danese United States
Campbell S.D. Roxburgh United Kingdom
Gary Richardson Australia
Gilles F.H. Diercks Netherlands
Ker‐Ai Lee relative to Monia Marchetti Italy Monia Marchetti's profile →
Citations per field
00.5×2.9×
Monia Marchetti · 1×
Citations per year

Countries citing papers authored by Ker‐Ai Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ker‐Ai Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005432
2 2005409
3 2015213
4 2010135
5 2008109
6 201099
7 200188
8 201872
9 201165
10 200564
11 200763
12 201053
13 200949
14 201348
15 200945
16 201337
17 200431
18 201729
19 201329
20 202026

About Ker‐Ai Lee

Ker‐Ai Lee is a scholar working on Rheumatology, Immunology, Hematology, Statistics and Probability and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (13 papers), Psoriasis: Treatment and Pathogenesis (12 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Statistical Methods and Inference (7 papers), Statistical Methods in Clinical Trials (6 papers), Bone health and treatments (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Blood transfusion and management (4 papers). The work is most often cited by research in Hematology (450 citations), Oncology (973 citations), Rheumatology (515 citations), Biochemistry (167 citations) and Immunology (483 citations). Ker‐Ai Lee has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Richard J. Cook, Allan Lipton, Robert E. Coleman, Pierre Major, Matthew Smith, Dafna D. Gladman, Ming Zheng, Vinod Chandran, Lihi Eder and Fred Saad. Their work appears in journals such as Statistics in Medicine, Arthritis & Rheumatology, Seminars in Arthritis and Rheumatism, Arthritis Care & Research and Journal of Clinical Oncology.

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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