Daniel C. Koch

1.3k total citations
9 papers, 681 citations indexed

About

Daniel C. Koch is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel C. Koch has authored 9 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel C. Koch's work include Estrogen and related hormone effects (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Daniel C. Koch is often cited by papers focused on Estrogen and related hormone effects (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Daniel C. Koch collaborates with scholars based in United States, Switzerland and Germany. Daniel C. Koch's co-authors include Siva K. Kolluri, William H. Bisson, Edmond F. O’Donnell, Nancy I. Kerkvliet, David E. Williams, David J. Ehresman, Abby D. Benninghoff, Robert L. Tanguay, Hyo Sang Jang and Prasad Kopparapu and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

Daniel C. Koch

9 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Koch United States 8 298 205 186 86 79 9 681
Ivan Curran Canada 15 256 0.9× 149 0.7× 167 0.9× 92 1.1× 48 0.6× 27 661
Jessica LaRocca United States 12 279 0.9× 241 1.2× 37 0.2× 93 1.1× 107 1.4× 24 687
Stephen A. Benjamin United States 15 112 0.4× 124 0.6× 72 0.4× 80 0.9× 39 0.5× 29 495
Joseph Haseman United States 10 366 1.2× 285 1.4× 27 0.1× 152 1.8× 155 2.0× 14 797
Gregory S. Gorman United States 13 246 0.8× 191 0.9× 313 1.7× 25 0.3× 42 0.5× 36 706
Sandra R. Eldridge United States 15 367 1.2× 281 1.4× 325 1.7× 258 3.0× 60 0.8× 26 959
Yi-Ming Mu China 10 160 0.5× 319 1.6× 18 0.1× 96 1.1× 135 1.7× 22 768
Michael Wenz Germany 10 71 0.2× 238 1.2× 101 0.5× 24 0.3× 132 1.7× 16 607
Renee D. White United States 8 382 1.3× 103 0.5× 22 0.1× 84 1.0× 49 0.6× 11 568
Frederico M. Farin United States 16 101 0.3× 210 1.0× 26 0.1× 41 0.5× 176 2.2× 19 823

Countries citing papers authored by Daniel C. Koch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel C. Koch

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

All Works

9 of 9 papers shown
1.
Li, Wenli, et al.. (2019). Changes in meta-transcriptome of rumen epimural microbial community and liver transcriptome in young calves with feed induced acidosis. Scientific Reports. 9(1). 18967–18967. 7 indexed citations
3.
Koch, Daniel C., Hyo Sang Jang, Edmond F. O’Donnell, et al.. (2015). Anti-androgen flutamide suppresses hepatocellular carcinoma cell proliferation via the aryl hydrocarbon receptor mediated induction of transforming growth factor-β1. Oncogene. 34(50). 6092–6104. 41 indexed citations
4.
O’Donnell, Edmond F., Daniel C. Koch, William H. Bisson, Hyo Sang Jang, & Siva K. Kolluri. (2014). The aryl hydrocarbon receptor mediates raloxifene-induced apoptosis in estrogen receptor-negative hepatoma and breast cancer cells. Cell Death and Disease. 5(1). e1038–e1038. 91 indexed citations
5.
O’Donnell, Edmond F., Prasad Kopparapu, Daniel C. Koch, et al.. (2012). The Aryl Hydrocarbon Receptor Mediates Leflunomide-Induced Growth Inhibition of Melanoma Cells. PLoS ONE. 7(7). e40926–e40926. 66 indexed citations
6.
Benninghoff, Abby D., William H. Bisson, Daniel C. Koch, et al.. (2010). Estrogen-Like Activity of Perfluoroalkyl Acids In Vivo and Interaction with Human and Rainbow Trout Estrogen Receptors In Vitro. Toxicological Sciences. 120(1). 42–58. 207 indexed citations
7.
O’Donnell, Edmond F., Katerine S. Saili, Daniel C. Koch, et al.. (2010). The Anti-Inflammatory Drug Leflunomide Is an Agonist of the Aryl Hydrocarbon Receptor. PLoS ONE. 5(10). e13128–e13128. 101 indexed citations
8.
Smeets, Ralf, et al.. (2009). The impact of defined polyglycolide scaffold structure on the proliferation of gingival fibroblasts in vitro: a pilot study. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 108(4). 505–513. 8 indexed citations
9.
Bisson, William H., Daniel C. Koch, Edmond F. O’Donnell, et al.. (2009). Modeling of the Aryl Hydrocarbon Receptor (AhR) Ligand Binding Domain and Its Utility in Virtual Ligand Screening to Predict New AhR Ligands. Journal of Medicinal Chemistry. 52(18). 5635–5641. 121 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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