Hyeseung Lee

18.2k citations
58 papers · 12.3k indexed · 5 hit papers · h-index 31
Topics
Plant-Microbe Interactions and Immunity (10 papers)Fungal Infections and Studies (8 papers)Photoreceptor and optogenetics research (7 papers)

In The Last Decade

Hyeseung Lee

55 papers receiving 12.2k citations

Hit Papers

NCBI GEO: archive for functional genomics data sets—update2012202620162021201220152015202220232.0k4.0k6.0k

Peers

Hyeseung Lee
Comparison fields: 5 of 170
  • Molecular Biology 8.7k
  • Cancer Research 3.3k
  • Plant Science 1.4k
  • Pulmonary and Respiratory Medicine 1.3k
  • Immunology 1.1k
Replace Andrea Franceschini with:
Andrea Franceschini Switzerland
Alberto Santos Denmark
Alexander Junge Denmark
Tanya Barrett United States
Ron Edgar Israel
Irene F. Kim United States
Pierre Ledoux United States
Benjamin M. Bolstad United States
Robert M. Stephens United States
Peter J. van der Spek Netherlands
Hyeseung Lee relative to Andrea Franceschini Switzerland Andrea Franceschini's profile →
Citations per field
00.5×
Andrea Franceschini · 1×
Citations per year

Countries citing papers authored by Hyeseung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyeseung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeseung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeseung Lee. A scholar is included among the top collaborators of Hyeseung 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 Hyeseung Lee. Hyeseung 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
#WorkIndexed citations
1 10
2 0
3 5
4 30
5 5
6 16
7
Single-cell dissection of the human brain vasculaturebreakdown →
173
8 37
9 30
10 145
11 55
12 63
13
HNRNPA2B1 Is a Mediator of m6A-Dependent Nuclear RNA Processing Eventsbreakdown →
1188
14 35
15 15
16 65
17 37
18 51
19 81
20 105

About Hyeseung Lee

Hyeseung Lee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science, having authored 58 papers that have together received 12.3k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (10 papers), Fungal Infections and Studies (8 papers) and Photoreceptor and optogenetics research (7 papers). The work is most often cited by research in Cancer Research (3.3k citations), Molecular Biology (8.7k citations) and Immunology (1.1k citations). Hyeseung Lee has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Tanya Barrett, Carlos Evangelista, Katherine Phillippy, Pierre Ledoux, Kimberly A. Marshall, Irene F. Kim, Naigong Zhang, Sean Davis, Michelle Holko and Sohail F. Tavazoie. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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