Jake Lee

30 papers receiving 562 citations

Jake Lee's Hit Papers

Comprehensive multi-omic profiling of somatic mutations in malformations of cortical development 2023 · 77 citations
770+1+2Years since publication255075

Peers

Jake Lee
Comparison fields: 5 of 62
  • Nuclear and High Energy Physics 277
  • Developmental Neuroscience 15
  • Cancer Research 48
  • Psychiatry and Mental health 54
  • Genetics 49
Replace Axel Weber with:
Axel Weber Germany
Tiberiu Teşileanu United States
S. Kim United States
Masahiro Yokoyama Japan
Yiyang Wu United States
Sung won Lim South Korea
Namshik Kim South Korea
Nadine Zahn Germany
Daniel E. Russ United States
Jake Lee relative to Axel Weber Germany Axel Weber's profile →
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Citations per year

Countries citing papers authored by Jake Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jake Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comprehensive multi-omic profiling of somatic mutations in malformations of cortical development
Hit paper breakdown →
202377
2 200269
3 200654
4 200550
5 200638
6 202235
7 200532
8 202129
9 200725
10 200622
11 202320
12 199815
13 200114
14 202411
15 202411
16 202210
17 20079
18 19998
19 20207
20 20226

About Jake Lee

Jake Lee is a scholar working on Nuclear and High Energy Physics, Media Technology, Genetics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 571 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (13 papers), Remote-Sensing Image Classification (3 papers), Genomics and Rare Diseases (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Space Science and Extraterrestrial Life (2 papers), Anomaly Detection Techniques and Applications (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (277 citations), Developmental Neuroscience (15 citations), Cancer Research (48 citations), Psychiatry and Mental health (54 citations) and Genetics (49 citations). Jake Lee has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Choong Sun Kim, Sin Kyu Kang, Y. H. Ahn, H. Athar, Lisa M. Coussens, Kerstin Dehne, Léon C.L.T. van Kempen, Dylan R. Edwards, W. Namgung and Kingman Cheung. Their work appears in journals such as Physics Letters B, Frontiers in Microbiology, Data Mining and Knowledge Discovery, Nature Communications and IEEE Transactions on Geoscience and Remote Sensing.

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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