Hansol Lee

539 total citations · 1 hit paper
7 papers, 357 citations indexed

About

Hansol Lee is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Structural Biology. According to data from OpenAlex, Hansol Lee has authored 7 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Structural Biology. Recurrent topics in Hansol Lee's work include RNA modifications and cancer (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and Protein Structure and Dynamics (1 paper). Hansol Lee is often cited by papers focused on RNA modifications and cancer (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and Protein Structure and Dynamics (1 paper). Hansol Lee collaborates with scholars based in South Korea, United States and Armenia. Hansol Lee's co-authors include Byung‐Ha Oh, Soung‐Hun Roh, Haedong Kim, Young-Yoon Lee, V. Narry Kim, Byung Ouk Park, Hyunjin Jung, YoungJu Jo, Won Do Heo and Longxing Cao and has published in prestigious journals such as Nature, Nature Communications and Nature Methods.

In The Last Decade

Hansol Lee

7 papers receiving 355 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

De novo design of modular and tunable protein biosensors

2021 170 citations Alfredo Quijano‐Rubio, Hsien‐Wei Yeh et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hansol Lee South Korea	4	270	70	54	46	38	7	357
Nicole Taylor United States	7	789 2.9×	72 1.0×	27 0.5×	18 0.4×	22 0.6×	8	987
Ana‐Paula Tairi Switzerland	8	291 1.1×	50 0.7×	23 0.4×	40 0.9×	23 0.6×	8	368
Joaquim Torra Spain	11	294 1.1×	124 1.8×	16 0.3×	77 1.7×	19 0.5×	17	480
Fahad Rashid Saudi Arabia	10	382 1.4×	35 0.5×	16 0.3×	14 0.3×	30 0.8×	14	428
Yuki Ohmuro‐Matsuyama Japan	13	464 1.7×	177 2.5×	125 2.3×	45 1.0×	12 0.3×	38	661
Naomi L. Pollock United Kingdom	13	408 1.5×	52 0.7×	34 0.6×	34 0.7×	5 0.1×	21	520
L. James Maher United States	17	899 3.3×	41 0.6×	24 0.4×	12 0.3×	58 1.5×	50	1.0k
Peter Stenlund Sweden	9	309 1.1×	26 0.4×	65 1.2×	15 0.3×	26 0.7×	9	412
Klaus Yserentant Germany	11	422 1.6×	59 0.8×	42 0.8×	20 0.4×	6 0.2×	18	589
Karen S. Sarkisyan Russia	13	393 1.5×	101 1.4×	16 0.3×	102 2.2×	13 0.3×	28	565

Countries citing papers authored by Hansol Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hansol Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hansol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hansol Lee. A scholar is included among the top collaborators of Hansol 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 Hansol Lee. Hansol Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Lee, Jin Woo, Kyung-Ah Lee, In-Hwan Jang, et al.. (2025). Microbiome-emitted scents activate olfactory neuron-independent airway-gut-brain axis to promote host growth in Drosophila. Nature Communications. 16(1). 2199–2199. 1 indexed citations

2.

Lee, Hansol & Soung‐Hun Roh. (2023). Cryo‐EM structures of human DICER dicing a pre‐miRNA substrate. FEBS Journal. 291(14). 3072–3079. 2 indexed citations

3.

Lee, Hansol, et al.. (2023). Copper Oxide Spike Grids for Enhanced Solution Transfer in Cryogenic Electron Microscopy. Molecules and Cells. 46(9). 538–544. 1 indexed citations

4.

Lee, Young-Yoon, Hansol Lee, Haedong Kim, V. Narry Kim, & Soung‐Hun Roh. (2023). Structure of the human DICER–pre-miRNA complex in a dicing state. Nature. 615(7951). 331–338. 69 indexed citations

5.

Kang, Hyunook, Ben P. Phillips, Soohyung Park, et al.. (2022). Evolutionary balance between foldability and functionality of a glucose transporter. Nature Chemical Biology. 18(7). 713–723. 14 indexed citations

6.

Quijano‐Rubio, Alfredo, Hsien‐Wei Yeh, Hansol Lee, et al.. (2021). De novo design of modular and tunable protein biosensors. Nature. 591(7850). 482–487. 170 indexed citations breakdown →

7.

Lee, Hansol, Hyunjin Jung, YoungJu Jo, et al.. (2019). Optogenetic activation of intracellular antibodies for direct modulation of endogenous proteins. Nature Methods. 16(11). 1095–1100. 100 indexed citations

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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