Karl Kornacker

4.6k total citations · 1 hit paper
26 papers, 2.9k citations indexed

About

Karl Kornacker is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Karl Kornacker has authored 26 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in Karl Kornacker's work include Epigenetics and DNA Methylation (4 papers), Molecular Biology Techniques and Applications (4 papers) and Photoreceptor and optogenetics research (2 papers). Karl Kornacker is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Molecular Biology Techniques and Applications (4 papers) and Photoreceptor and optogenetics research (2 papers). Karl Kornacker collaborates with scholars based in United States, Spain and Portugal. Karl Kornacker's co-authors include Michael E. Hughes, John B. Hogenesch, Constance L. Cepko, Claudio Punzo, Ron C. Anafi, Gang Wu, Cassandra Denefrio, Bernardo L. Sabatini, Jessica L. Saulnier and Caroline A. Johnson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Karl Kornacker

23 papers receiving 2.8k citations

Hit Papers

JTK_CYCLE: An Efficient Nonparametric Algorithm for Detec... 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Kornacker United States 17 1.5k 850 509 445 328 26 2.9k
Mathew T. Pletcher United States 27 1.7k 1.1× 520 0.6× 348 0.7× 641 1.4× 198 0.6× 44 3.2k
Michael Becker-André Switzerland 25 1.9k 1.3× 661 0.8× 272 0.5× 665 1.5× 397 1.2× 27 3.2k
Takahiro Nagase Japan 42 4.4k 3.0× 678 0.8× 502 1.0× 519 1.2× 526 1.6× 105 6.2k
Bruce A. Hamilton United States 29 2.0k 1.4× 212 0.2× 327 0.6× 622 1.4× 204 0.6× 69 3.5k
Bogi Andersen United States 43 3.7k 2.5× 581 0.7× 486 1.0× 450 1.0× 233 0.7× 95 6.3k
Michael D. Uhler United States 35 3.2k 2.2× 219 0.3× 570 1.1× 1.0k 2.3× 89 0.3× 85 4.4k
Stephanie Halford United Kingdom 32 2.0k 1.3× 554 0.7× 132 0.3× 577 1.3× 128 0.4× 75 3.3k
Manfred W. Kilimann Germany 38 2.2k 1.5× 236 0.3× 546 1.1× 811 1.8× 143 0.4× 95 4.1k
Xiaowei Lu United States 33 3.3k 2.2× 189 0.2× 152 0.3× 831 1.9× 237 0.7× 76 4.9k
Christian Becker Germany 33 2.1k 1.4× 193 0.2× 284 0.6× 373 0.8× 233 0.7× 59 3.9k

Countries citing papers authored by Karl Kornacker

Since Specialization
Citations

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

Fields of papers citing papers by Karl Kornacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Kornacker

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Kornacker. A scholar is included among the top collaborators of Karl Kornacker 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 Karl Kornacker. Karl Kornacker 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.
Kornacker, Karl, et al.. (2022). Cyclobutane Pyrimidine Dimer Hyperhotspots as Sensitive Indicators of Keratinocyte UV Exposure. Photochemistry and Photobiology. 98(5). 987–997. 8 indexed citations
2.
Wu, Gang, Ron C. Anafi, Michael E. Hughes, Karl Kornacker, & John B. Hogenesch. (2016). MetaCycle: an integrated R package to evaluate periodicity in large scale data. Bioinformatics. 32(21). 3351–3353. 350 indexed citations
3.
Bateup, Helen S., Caroline A. Johnson, Cassandra Denefrio, et al.. (2013). Excitatory/Inhibitory Synaptic Imbalance Leads to Hippocampal Hyperexcitability in Mouse Models of Tuberous Sclerosis. Neuron. 78(3). 510–522. 254 indexed citations
4.
Mamidala, Praveen, Asela Wijeratne, Saranga Wijeratne, et al.. (2012). RNA-Seq and molecular docking reveal multi-level pesticide resistance in the bed bug. BMC Genomics. 13(1). 6–6. 118 indexed citations
5.
Kornacker, Karl, et al.. (2012). The Triform algorithm: improved sensitivity and specificity in ChIP-Seq peak finding. BMC Bioinformatics. 13(1). 176–176. 8 indexed citations
6.
Miyazaki, Mitsunori, Elizabeth A. Schroder, Stephanie E. Edelmann, et al.. (2011). Age-Associated Disruption of Molecular Clock Expression in Skeletal Muscle of the Spontaneously Hypertensive Rat. PLoS ONE. 6(11). e27168–e27168. 41 indexed citations
7.
González‐Roca, Eva, Xabier García‐Albéniz, Sílvia Rodriguez-Mulero, et al.. (2010). Accurate Expression Profiling of Very Small Cell Populations. PLoS ONE. 5(12). e14418–e14418. 61 indexed citations
8.
Auer, Herbert, David L. Newsom, & Karl Kornacker. (2009). Expression Profiling Using Affymetrix GeneChip Microarrays. Methods in molecular biology. 509. 35–46. 23 indexed citations
9.
Li, Jing, Cong Ran, Edward Li, et al.. (2008). Synergistic Function of E2F7 and E2F8 Is Essential for Cell Survival and Embryonic Development. Developmental Cell. 14(1). 62–75. 170 indexed citations
10.
Punzo, Claudio, Karl Kornacker, & Constance L. Cepko. (2008). Stimulation of the insulin/mTOR pathway delays cone death in a mouse model of retinitis pigmentosa. Nature Neuroscience. 12(1). 44–52. 387 indexed citations
11.
Singh, Sunita, Monalee Saha, Herbert Auer, et al.. (2007). Transcriptional profiling of the megabladder mouse: A unique model of bladder dysmorphogenesis. Developmental Dynamics. 237(1). 170–186. 8 indexed citations
12.
Singh, Sunita, Brian D. Coley, Michael L. Robinson, et al.. (2007). Identification of a Unique Transgenic Mouse Line That Develops Megabladder, Obstructive Uropathy, and Renal Dysfunction. Journal of the American Society of Nephrology. 18(2). 461–471. 29 indexed citations
13.
Auer, Herbert, David L. Newsom, Norma J. Nowak, et al.. (2007). Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays. BMC Genomics. 8(1). 111–111. 19 indexed citations
14.
Viale, Agnès, Juan Li, Jay P. Tiesman, et al.. (2007). Big results from small samples: evaluation of amplification protocols for gene expression profiling.. PubMed. 18(3). 150–61. 19 indexed citations
15.
Schiedlmeier, Bernhard, Ana C. Santos, Ana Ribeiro, et al.. (2007). HOXB4's road map to stem cell expansion. Proceedings of the National Academy of Sciences. 104(43). 16952–16957. 74 indexed citations
16.
Brena, Romulo Martin, Herbert Auer, Karl Kornacker, & Christoph Plass. (2006). Quantification of DNA methylation in electrofluidics chips (Bio-COBRA). Nature Protocols. 1(1). 52–58. 30 indexed citations
17.
Smith, L.T., Dominic J. Smiraglia, James C. Lang, et al.. (2005). DNA copy number gains in head and neck squamous cell carcinoma. Oncogene. 25(9). 1424–1433. 50 indexed citations
18.
Huang, Ying, Manju L. Prasad, William J. Lemon, et al.. (2001). Gene expression in papillary thyroid carcinoma reveals highly consistent profiles. Proceedings of the National Academy of Sciences. 98(26). 15044–15049. 367 indexed citations
19.
Kornacker, Karl, Mahendra Kumar Jain, Fredric P. White, et al.. (1973). Cation pump vs. Nernst potential. The Journal of Membrane Biology. 11(1). 195–196. 2 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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