Dae‐Hyun Cho

4.3k total citations · 1 hit paper
73 papers, 3.3k citations indexed

About

Dae‐Hyun Cho is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Oceanography. According to data from OpenAlex, Dae‐Hyun Cho has authored 73 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Renewable Energy, Sustainability and the Environment, 19 papers in Molecular Biology and 15 papers in Oceanography. Recurrent topics in Dae‐Hyun Cho's work include Algal biology and biofuel production (42 papers), Marine and coastal ecosystems (15 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (11 papers). Dae‐Hyun Cho is often cited by papers focused on Algal biology and biofuel production (42 papers), Marine and coastal ecosystems (15 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (11 papers). Dae‐Hyun Cho collaborates with scholars based in South Korea, India and United States. Dae‐Hyun Cho's co-authors include Hee‐Mock Oh, Rishiram Ramanan, Hee-Sik Kim, Byung‐Hyuk Kim, Hee-Sik Kim, Jina Heo, Jimin Lee, Zion Kang, Yong Jae Lee and Quynh‐Giao Tran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Dae‐Hyun Cho

72 papers receiving 3.2k citations

Hit Papers

Algae–bacteria interactions: Evolution, ecology and emerg... 2015 2026 2018 2022 2015 250 500 750
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.

  1. Algae–bacteria interactions: Evolution, ecology and emerging applications
    2015 931 citations Rishiram Ramanan, Dae‐Hyun Cho et al. Biotechnology Advances profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Hyun Cho South Korea 28 2.0k 668 641 591 557 73 3.3k
J. de la Noüe Canada 35 1.7k 0.9× 341 0.5× 316 0.5× 343 0.6× 736 1.3× 106 3.6k
Chengwu Zhang China 33 2.9k 1.5× 987 1.5× 225 0.4× 93 0.2× 631 1.1× 92 3.7k
Jianfeng Chen China 29 713 0.4× 419 0.6× 353 0.6× 263 0.4× 303 0.5× 89 2.2k
Nirupama Mallick India 40 2.9k 1.5× 1.5k 2.2× 187 0.3× 1.0k 1.7× 613 1.1× 117 5.8k
Jinghan Wang China 25 1.5k 0.8× 260 0.4× 127 0.2× 327 0.6× 406 0.7× 74 2.3k
Zhengyu Hu China 23 773 0.4× 579 0.9× 552 0.9× 108 0.2× 658 1.2× 177 2.4k
Shunshan Duan China 26 373 0.2× 316 0.5× 282 0.4× 548 0.9× 419 0.8× 114 2.3k
Laura Barsanti Spain 25 1.1k 0.6× 777 1.2× 183 0.3× 98 0.2× 283 0.5× 89 2.5k
M.C. Cerón-García Spain 31 2.2k 1.1× 602 0.9× 142 0.2× 73 0.1× 670 1.2× 89 3.1k

Countries citing papers authored by Dae‐Hyun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Hyun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Hyun Cho. 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 Dae‐Hyun Cho. The network helps show where Dae‐Hyun Cho may publish in the future.

Co-authorship network of co-authors of Dae‐Hyun Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Hyun Cho. A scholar is included among the top collaborators of Dae‐Hyun Cho 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 Dae‐Hyun Cho. Dae‐Hyun Cho 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
1.
Tran, Quynh‐Giao, et al.. (2025). Progress and challenges in CRISPR/Cas applications in microalgae. The Journal of Microbiology. 63(3). e2501028–e2501028. 7 indexed citations
2.
3.
Park, Subin, Jin‐Ho Yun, Hong Il Choi, et al.. (2024). High-throughput optimization of organic carbon provision strategies enables enhanced arachidonic acid production in novel microalgae. Microbial Cell Factories. 23(1). 290–290.
4.
Cho, Dae‐Hyun, Jin‐Ho Yun, Jina Heo, et al.. (2024). Long-term acclimation to organic carbon enhances the production of loliolide from Scenedesmus deserticola. Bioresource Technology. 412. 131408–131408. 3 indexed citations
5.
Kim, Minsik, Sang‐Ah Lee, Jin‐Ho Yun, et al.. (2023). Cultivation of Chlorella sp. HS2 using wastewater from soy sauce factory. Chemosphere. 342. 140162–140162. 7 indexed citations
6.
7.
Yun, Jin‐Ho, Dae‐Hyun Cho, Jina Heo, et al.. (2020). Transcriptomic analysis of Chlorella sp. HS2 suggests the overflow of acetyl‐CoA and NADPH cofactor induces high lipid accumulation and halotolerance. Food and Energy Security. 10(1). 12 indexed citations
8.
Kim, Ji Won, et al.. (2020). Functional expression of polyethylene terephthalate-degrading enzyme (PETase) in green microalgae. Microbial Cell Factories. 19(1). 97–97. 149 indexed citations
9.
Lee, Yu Rim, Seunghee Bae, Junwoo Lee, et al.. (2019). Monoterpenoid Loliolide Regulates Hair Follicle Inductivity of Human Dermal Papilla Cells by Activating the Akt/ ¥-Catenin Signaling Pathway. Journal of Microbiology and Biotechnology. 29(11). 1830–1840. 29 indexed citations
10.
11.
Tran, Quynh‐Giao, Kichul Cho, Jin‐Ho Yun, et al.. (2019). Enhancement of β-carotene production by regulating the autophagy-carotenoid biosynthesis seesaw in Chlamydomonas reinhardtii. Bioresource Technology. 292. 121937–121937. 24 indexed citations
12.
Yoo, Chan Yul, Ankita Srivastava, Chi‐Yong Ahn, et al.. (2017). Light intensity as major factor to maximize biomass and lipid productivity of Ettlia sp. in CO2-controlled photoautotrophic chemostat. Bioresource Technology. 244(Pt 1). 621–628. 53 indexed citations
13.
Lee, Jeong-Ju, Sungkwan An, Jina Heo, et al.. (2016). Extract of Ettlia sp. YC001 Exerts Photoprotective Effects against UVB Irradiation in Normal Human Dermal Fibroblasts. Journal of Microbiology and Biotechnology. 26(4). 775–783. 14 indexed citations
14.
Cho, Dae‐Hyun, Rishiram Ramanan, Jina Heo, et al.. (2015). Organic carbon, influent microbial diversity and temperature strongly influence algal diversity and biomass in raceway ponds treating raw municipal wastewater. Bioresource Technology. 191. 481–487. 70 indexed citations
15.
Ramanan, Rishiram, et al.. (2015). Algae–bacteria interactions: Evolution, ecology and emerging applications. Biotechnology Advances. 34(1). 14–29. 931 indexed citations breakdown →
16.
Kim, Byung‐Hyuk, Zion Kang, Rishiram Ramanan, et al.. (2014). Nutrient Removal and Biofuel Production in High Rate Algal Pond Using Real Municipal Wastewater. Journal of Microbiology and Biotechnology. 24(8). 1123–1132. 71 indexed citations
17.
Kim, Byung‐Hyuk, Dae‐Hyun Cho, Youlboong Sung, et al.. (2010). Analysis of microbial community during the anaerobic dechlorination of PCE/TCE by DGGE. KRIBB Repository. 38(4). 448–454. 1 indexed citations
18.
Cho, Dae‐Hyun, et al.. (2005). The Recommended Approaches and Recent Trends in Reproductive and Developmental Toxicology. Toxicological Research. 21(4). 271–278. 1 indexed citations
19.
Kim, Hack-Seang, et al.. (1998). Inhibition by Ginsenosides Rb1 and Rg1 of Methamphetamine-Induced Hyperactivity, Conditioned Place Preference and Postsynaptic Dopamine Receptor Supersensitivity in Mice. General Pharmacology The Vascular System. 30(5). 783–789. 31 indexed citations
20.

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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