Daniel Korn

625 total citations · 1 hit paper
26 papers, 370 citations indexed

About

Daniel Korn is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Daniel Korn has authored 26 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 4 papers in Infectious Diseases. Recurrent topics in Daniel Korn's work include Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Daniel Korn is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Bioinformatics and Genomic Networks (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Daniel Korn collaborates with scholars based in United States, Brazil and Canada. Daniel Korn's co-authors include Alexander Tropsha, Eugene Muratov, Vinícius M. Alves, Tesia Bobrowski, Carolina Horta Andrade, Rodolpho C. Braga, Cleber C. Melo‐Filho, Scott S. Auerbach, Charles Schmitt and Joyce Villa Verde Bastos Borba and has published in prestigious journals such as Blood, Bioinformatics and Environmental Health Perspectives.

In The Last Decade

Daniel Korn

20 papers receiving 365 citations

Hit Papers

STopTox: An in Silico Alternative to Animal Testing for A... 2022 2026 2023 2024 2022 40 80 120
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. STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity
    2022 122 citations Joyce Villa Verde Bastos Borba, Vinícius M. Alves et al. Environmental Health Perspectives profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Korn United States 8 200 161 68 50 27 26 370
Sankalp Jain United States 12 185 0.9× 161 1.0× 68 1.0× 21 0.4× 35 1.3× 52 473
Ji-Xia Ren China 10 192 1.0× 235 1.5× 35 0.5× 136 2.7× 24 0.9× 21 451
Francis E. Agamah South Africa 6 126 0.6× 175 1.1× 27 0.4× 41 0.8× 18 0.7× 12 340
Sebastian Schneckener Germany 13 198 1.0× 223 1.4× 28 0.4× 28 0.6× 76 2.8× 18 540
Shuaishi Gao China 5 296 1.5× 334 2.1× 28 0.4× 46 0.9× 74 2.7× 5 574
Raphael Taiwo Aruleba South Africa 15 71 0.4× 172 1.1× 27 0.4× 30 0.6× 14 0.5× 27 505
Tyler Peryea United States 9 108 0.5× 218 1.4× 22 0.3× 37 0.7× 40 1.5× 13 428
Deborah Giordano Italy 10 114 0.6× 154 1.0× 35 0.5× 64 1.3× 14 0.5× 26 634
Tayo Alex Adekiya South Africa 14 59 0.3× 161 1.0× 20 0.3× 24 0.5× 19 0.7× 29 498

Countries citing papers authored by Daniel Korn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Korn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Korn

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Korn. A scholar is included among the top collaborators of Daniel Korn 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 Daniel Korn. Daniel Korn 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.
Souza, Vinícius de, Melissa Haendel, Nomi L. Harris, et al.. (2025). Towards a standard benchmark for phenotype-driven variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework. BMC Bioinformatics. 26(1). 87–87. 1 indexed citations
2.
O’Neil, Shawn T., Brian M. Schilder, Kevin Schaper, et al.. (2025). monarchr: an R package for querying biomedical knowledge graphs. Bioinformatics. 41(10).
3.
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5.
Hickey, Anthony J., Alexander Tropsha, Eugene Muratov, et al.. (2024). Knowledge-based approaches to drug discovery for rare diseases. UNC Libraries.
6.
Melo‐Filho, Cleber C., Daniel Korn, Richard T. Eastman, et al.. (2023). Small molecule antiviral compound collection (SMACC): A comprehensive, highly curated database to support the discovery of broad-spectrum antiviral drug molecules. Antiviral Research. 217. 105620–105620. 7 indexed citations
7.
Alves, Vinícius M., Joyce Villa Verde Bastos Borba, Rodolpho C. Braga, et al.. (2022). PreS/MD: Predictor of Sensitization Hazard for Chemical Substances Released From Medical Devices. Toxicological Sciences. 189(2). 250–259. 6 indexed citations
8.
Korn, Daniel, Vinícius M. Alves, Joyce Villa Verde Bastos Borba, et al.. (2022). Defining clinical outcome pathways. Drug Discovery Today. 27(6). 1671–1678. 9 indexed citations
9.
Borba, Joyce Villa Verde Bastos, Vinícius M. Alves, Rodolpho C. Braga, et al.. (2022). STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity. Environmental Health Perspectives. 130(2). 27012–27012. 122 indexed citations breakdown →
10.
Hou, Peiyu, Daniel Korn, Cleber C. Melo‐Filho, et al.. (2022). Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways. Proceedings of the 2022 International Conference on Management of Data. 55. 458–469. 3 indexed citations
11.
Korn, Daniel, et al.. (2022). Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG. 2022 IEEE International Conference on Big Data (Big Data). 3692–3701.
12.
Korn, Daniel, Konstantin Popov, Vinícius M. Alves, et al.. (2022). Integrated approach to elucidate metal-implant related adverse outcome pathways. Regulatory Toxicology and Pharmacology. 136. 105277–105277. 3 indexed citations
13.
Alves, Vinícius M., Daniel Korn, Stephen J. Capuzzi, et al.. (2021). Knowledge-based approaches to drug discovery for rare diseases. Drug Discovery Today. 27(2). 490–502. 26 indexed citations
14.
Bobrowski, Tesia, Daniel Korn, Eugene Muratov, & Alexander Tropsha. (2021). ZINC Express: A Virtual Assistant for Purchasing Compounds Annotated in the ZINC Database. Journal of Chemical Information and Modeling. 61(3). 1033–1036. 6 indexed citations
15.
Korn, Daniel, Tesia Bobrowski, Patrick Wang, et al.. (2020). COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database. Bioinformatics. 37(4). 586–587. 15 indexed citations
16.
Bobrowski, Tesia, Cleber C. Melo‐Filho, Daniel Korn, et al.. (2020). Learning from history: do not flatten the curve of antiviral research!. Drug Discovery Today. 25(9). 1604–1613. 27 indexed citations
17.
Alves, Vinícius M., Tesia Bobrowski, Cleber C. Melo‐Filho, et al.. (2020). QSAR Modeling of SARS‐CoV M pro Inhibitors Identifies Sufugolix, Cenicriviroc, Proglumetacin, and other Drugs as Candidates for Repurposing against SARS‐CoV‐2. Molecular Informatics. 40(1). e2000113–e2000113. 63 indexed citations
18.
Alves, Vinícius M., Stephen J. Capuzzi, Rodolpho C. Braga, et al.. (2020). SCAM Detective: Accurate Predictor of Small, Colloidally Aggregating Molecules. Journal of Chemical Information and Modeling. 60(8). 4056–4063. 25 indexed citations
19.
Alves, Vinícius M., Alexander Golbraikh, Stephen J. Capuzzi, et al.. (2018). Multi-Descriptor Read Across (MuDRA): A Simple and Transparent Approach for Developing Accurate Quantitative Structure–Activity Relationship Models. Journal of Chemical Information and Modeling. 58(6). 1214–1223. 40 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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