Hansol Bae

821 citations
25 papers · 645 · h-index 17

Impact in

Papers in

    • Signaling Pathways in Disease 5
    • Photosynthetic Processes and Mechanisms 5
    • Ubiquitin and proteasome pathways 5
    • CRISPR and Genetic Engineering 3
    • Cancer-related gene regulation 3
    • Plant Molecular Biology Research 3
    • Plant nutrient uptake and metabolism 2

Hansol Bae

25 papers receiving 640 citations

Peers

Hansol Bae
Comparison fields: 5 of 79
  • Plant Science 275
  • Drug Discovery 1
  • Molecular Biology 407
  • Horticulture 5
  • Ecology, Evolution, Behavior and Systematics 83
Replace Sang Sook Lee with:
Sang Sook Lee South Korea
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Norio Kondo Japan
Ze Wu China
Hongping Liang China
Rubin Cheng China
Ranjit Kaur Gill India
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Zhenning Liu China
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Hansol Bae relative to Sang Sook Lee South Korea Sang Sook Lee's profile →
Citations per field
00.5×2.9×
Sang Sook Lee · 1×
Citations per year

Countries citing papers authored by Hansol Bae

Since Specialization
Citations

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

Fields of papers citing papers by Hansol Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 201853
3 201652
4 201650
5 201444
6 201437
7 202132
8 201432
9 201523
10 200823
11 201623
12 201623
13 200923
14 201522
15 201519
16 201819
17 201717
18 201815
19 201314
20 201714

About Hansol Bae

Hansol Bae is a scholar working on Molecular Biology, Plant Science, Oncology, Genetics and Cell Biology, having authored 25 papers that have together received 645 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (4 papers), Plant Molecular Biology Research (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer-related gene regulation (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Plant Science (275 citations), Drug Discovery (1 citation), Molecular Biology (407 citations), Horticulture (5 citations) and Ecology, Evolution, Behavior and Systematics (83 citations). Hansol Bae has collaborated with scholars based in South Korea, Denmark and Armenia. Frequent co-authors include Woo Taek Kim, Henrik Toft Simonsen, Hyun‐Mo Ryoo, Seok Keun Cho, Ralf Reski, Jeong‐Hwa Baek, Kyung Mi Woo, Won‐Joon Yoon, Rabia Islam and Seong Wook Yang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Cellular Physiology, Journal of Cellular Biochemistry, Scientific Reports and Journal of Biological Chemistry.

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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