Doyeon Ha

10 total papers · 427 total citations
5 papers, 293 citations indexed

About

Doyeon Ha is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Doyeon Ha has authored 5 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Doyeon Ha's work include Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Doyeon Ha is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Doyeon Ha collaborates with scholars based in South Korea and France. Doyeon Ha's co-authors include Sanguk Kim, Kunyoo Shin, Donghyo Kim, Seong Kyu Han, Heetak Lee, Juhun Lee and Sin‐Hyeog Im and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Science Advances.

In The Last Decade

Doyeon Ha

5 papers receiving 288 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) 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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Network-based machine learning approach to predict immunotherapy response in cancer patients

2022 121 citations Doyeon Ha, Juhun Lee et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Doyeon Ha	131	112	66	59	40	5	293
Robert Yang	92 0.7×	269 2.4×	156 2.4×	81 1.4×	20 0.5×	5	364
Jessica C. Walrath	86 0.7×	137 1.2×	67 1.0×	20 0.3×	51 1.3×	7	334
Amanda Kerr	101 0.8×	71 0.6×	96 1.5×	33 0.6×	63 1.6×	7	279
Vasilena Zheleva	152 1.2×	123 1.1×	112 1.7×	28 0.5×	66 1.6×	6	295
Angela Sandru	155 1.2×	154 1.4×	35 0.5×	18 0.3×	38 0.9×	11	294
L. Arriaga	108 0.8×	117 1.0×	92 1.4×	44 0.7×	54 1.4×	7	339
Steve Wagner	188 1.4×	158 1.4×	76 1.2×	72 1.2×	58 1.4×	8	338
Vidyalakshmi Sethunath	135 1.0×	103 0.9×	68 1.0×	25 0.4×	49 1.2×	8	249
Kent C. Osborne	180 1.4×	107 1.0×	84 1.3×	19 0.3×	60 1.5×	10	294
Sahar Pakneshan	98 0.7×	109 1.0×	56 0.8×	17 0.3×	24 0.6×	8	331

Countries citing papers authored by Doyeon Ha

Since Specialization

Citations

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

Fields of papers citing papers by Doyeon Ha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doyeon Ha

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact