Donghyo Kim

1.9k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Donghyo Kim is a scholar working on Molecular Biology, Oncology and Environmental Chemistry. According to data from OpenAlex, Donghyo Kim has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Environmental Chemistry. Recurrent topics in Donghyo Kim's work include Bioinformatics and Genomic Networks (5 papers), Arsenic contamination and mitigation (5 papers) and Advanced Photocatalysis Techniques (4 papers). Donghyo Kim is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Arsenic contamination and mitigation (5 papers) and Advanced Photocatalysis Techniques (4 papers). Donghyo Kim collaborates with scholars based in South Korea, Spain and United States. Donghyo Kim's co-authors include Wonyong Choi, Alok D. Bokare, Sanguk Kim, Seong Kyu Han, Heetak Lee, Heehwa G. Son, Seung‐Jae Lee, Jae‐Seong Yang, Dong-Yeop Lee and Min Seok Koo and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Donghyo Kim

26 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research

2016 315 citations Seong Kyu Han, Heetak Lee et al. profile →

Peers

Donghyo Kim

RESE

MB

MC

WST

BE

Minghui Xiang China

Jeong‐Yun Choi South Korea

Min Shen China

Xiaonan Wei China

Brian Hyun Choi South Korea

Shengjian Li China

Jiayu Yu China

Cong Lv China

Haiyan Lu China

Giselle Cerchiaro Brazil

Minghui Xiang China

Donghyo Kim

230 ×0.5

RESE

381 ×1.2

MB

211 ×0.7

MC

282 ×1.1

WST

246 ×1.1

BE

Citations per year, relative to Donghyo Kim Donghyo Kim (= 1×) peers Minghui Xiang

Countries citing papers authored by Donghyo Kim

Since Specialization

Citations

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

Fields of papers citing papers by Donghyo Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyo Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kim, Donghyo, Woody Ahern, Doug Tischer, et al.. (2025). Computational design of metallohydrolases. Nature. 649(8095). 246–253. 1 indexed citations

2.

Kim, Donghyo, et al.. (2025). Genetic analysis of non-syndromic peg lateralis using whole-exome sequencing. Frontiers in Genetics. 16. 1572966–1572966.

3.

Ahern, Woody, Jason Yim, Doug Tischer, et al.. (2025). Atom-level enzyme active site scaffolding using RFdiffusion2. Nature Methods. 23(1). 96–105. 2 indexed citations

4.

Lee, Juhun, Donghyo Kim, JungHo Kong, et al.. (2024). Cell-cell communication network-based interpretable machine learning predicts cancer patient response to immune checkpoint inhibitors. Science Advances. 10(5). eadj0785–eadj0785. 12 indexed citations

5.

Kang, Hyun Ju, Donghyo Kim, Stephanie Kim, et al.. (2024). expHRD: an individualized, transcriptome-based prediction model for homologous recombination deficiency assessment in cancer. BMC Bioinformatics. 25(1). 236–236. 2 indexed citations

6.

Kong, JungHo, Jin-Ho Kim, Donghyo Kim, et al.. (2023). Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer. Patterns. 4(6). 100736–100736.

7.

Kim, Donghyo, et al.. (2023). Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans. EBioMedicine. 94. 104705–104705. 6 indexed citations

8.

Kim, Donghyo, et al.. (2022). Enzyme activity engineering based on sequence co-evolution analysis. Metabolic Engineering. 74. 49–60. 18 indexed citations

9.

Kim, Donghyo, et al.. (2022). The implication of holocytochrome c synthase mutation in Korean familial hypoplastic amelogenesis imperfecta. Clinical Oral Investigations. 26(6). 4487–4498. 1 indexed citations

10.

Ha, Doyeon, et al.. (2022). Development of bioinformatics and multi-omics analyses in organoids. BMB Reports. 56(1). 43–48. 14 indexed citations

11.

Kim, Donghyo, et al.. (2020). Design and Implementation of a Digital Evidence Management Model Based on Hyperledger Fabric. Journal of Information Processing Systems. 16(4). 760–773. 3 indexed citations

12.

Lee, Heetak, Donghyo Kim, Seong Kyu Han, et al.. (2020). Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients. Nature Communications. 11(1). 5485–5485. 148 indexed citations

13.

Kim, Eunjeong, Donghyo Kim, Chang‐Jin Kim, et al.. (2020). Capicua suppresses colorectal cancer progression via repression of ETV4 expression. Cancer Cell International. 20(1). 42–42. 19 indexed citations

14.

Kim, Inhae, et al.. (2019). Link clustering explains non-central and contextually essential genes in protein interaction networks. Scientific Reports. 9(1). 11672–11672. 2 indexed citations

15.

Kim, Donghyo, Dongwoo Lee, Damián Monllor‐Satoca, et al.. (2018). Homogeneous photocatalytic Fe3+/Fe2+ redox cycle for simultaneous Cr(VI) reduction and organic pollutant oxidation: Roles of hydroxyl radical and degradation intermediates. Journal of Hazardous Materials. 372. 121–128. 95 indexed citations

16.

Han, Seong Kyu, Donghyo Kim, Heetak Lee, Inhae Kim, & Sanguk Kim. (2018). Divergence of Noncoding Regulatory Elements Explains Gene–Phenotype Differences between Human and Mouse Orthologous Genes. Molecular Biology and Evolution. 35(7). 1653–1667. 15 indexed citations

17.

Moon, Gun‐hee, Sujeong Kim, Youngjin Cho, et al.. (2017). Synergistic combination of bandgap-modified carbon nitride and WO3 for visible light-induced oxidation of arsenite accelerated by in-situ Fenton reaction. Applied Catalysis B: Environmental. 218. 819–824. 62 indexed citations

18.

Koo, Min Seok, et al.. (2017). Sequential Process Combination of Photocatalytic Oxidation and Dark Reduction for the Removal of Organic Pollutants and Cr(VI) using Ag/TiO₂. Environmental Science & Technology. 51(7). 3973–3981. 198 indexed citations

19.

Kim, Donghyo, et al.. (2015). Heterogeneous Catalytic Oxidation of As(III) on Nonferrous Metal Oxides in the Presence of H₂O₂. Environmental Science & Technology. 49(6). 3506–3513. 128 indexed citations

20.

Kim, Donghyo, Jungwon Kim, & Wonyong Choi. (2011). Effect of magnetic field on the zero valent iron induced oxidation reaction. Journal of Hazardous Materials. 192(2). 928–931. 55 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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