J Lee

969 citations
8 papers · 498 · 1 hit paper · h-index 5

Impact in

Papers in

    • Aquaculture disease management and microbiota 3
    • interferon and immune responses 1
    • Invertebrate Immune Response Mechanisms 1

J Lee

7 papers receiving 496 citations

J Lee's Hit Papers

Massive mining of publicly available RNA-seq data from human and mouse 2018 · 411 citations
4110+2+5Years since publication100200300400

Peers

J Lee
Comparison fields: 5 of 78
  • Immunology 114
  • Cancer Research 80
  • Microbiology 31
  • Molecular Biology 332
  • Biophysics 17
Replace Justine Marsolier with:
Justine Marsolier France
Stuart D Pepper United Kingdom
Stefano Mangiola Australia
Sabine Suppmann Germany
Lisa Murphy Ireland
Aymeric Fouquier d’Hérouël Luxembourg
Shane Marine United States
Mikael Sjölinder Sweden
Stacey B. Andersen Australia
Dace Pjanova Latvia
J Lee relative to Justine Marsolier France Justine Marsolier's profile →
Citations per field
00.5×3.4×
Justine Marsolier · 1×
Citations per year

Countries citing papers authored by J Lee

Since Specialization
Citations

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

Fields of papers citing papers by J Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Massive mining of publicly available RNA-seq data from human and mouse
Hit paper breakdown →
2018411
2 201431
3 201630
4 201615
5 20187
6 20232
7 20242
8 20230

About J Lee

J Lee is a scholar working on Immunology, Molecular Biology, Genetics, Surgery and Ecology, having authored 8 papers that have together received 498 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (3 papers), Glioma Diagnosis and Treatment (2 papers), interferon and immune responses (1 paper), Invertebrate Immune Response Mechanisms (1 paper), Advanced Radiotherapy Techniques (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Immunology (114 citations), Cancer Research (80 citations), Microbiology (31 citations), Molecular Biology (332 citations) and Biophysics (17 citations). J Lee has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include Kathleen M. Jagodnik, Lily Wang, Moshe C. Silverstein, Avi Ma’ayan, Alexander Lachmann, Alexandra Keenan, Denis Torre, S.H.S. Dananjaya, Mahanama De Zoysa and Maheswaran Easwaran. Their work appears in journals such as Journal of Fish Diseases, Journal of Neuro-Oncology, Biochemistry, Nature Communications and Advances in Radiation 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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