Dan E. Krane

1.5k total citations
51 papers, 813 citations indexed

About

Dan E. Krane is a scholar working on Molecular Biology, Genetics and Political Science and International Relations. According to data from OpenAlex, Dan E. Krane has authored 51 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Genetics and 6 papers in Political Science and International Relations. Recurrent topics in Dan E. Krane's work include RNA and protein synthesis mechanisms (16 papers), Genomics and Phylogenetic Studies (13 papers) and Forensic and Genetic Research (12 papers). Dan E. Krane is often cited by papers focused on RNA and protein synthesis mechanisms (16 papers), Genomics and Phylogenetic Studies (13 papers) and Forensic and Genetic Research (12 papers). Dan E. Krane collaborates with scholars based in United States, India and Singapore. Dan E. Krane's co-authors include Michael L. Raymer, Travis E. Doom, Ross C. Hardison, Esley M. Heizer, Robert V. Miller, Daniel L. Hartl, Jason R. Gilder, Jan‐Fang Cheng, G.A. Burton and David Sternberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Dan E. Krane

48 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan E. Krane United States 17 431 271 140 86 84 51 813
R. W. Davies United Kingdom 20 293 0.7× 421 1.6× 228 1.6× 102 1.2× 351 4.2× 87 1.5k
David J. Carroll United States 20 495 1.1× 142 0.5× 139 1.0× 76 0.9× 46 0.5× 53 1.5k
Zihua Zhao China 22 285 0.7× 105 0.4× 269 1.9× 627 7.3× 14 0.2× 106 1.5k
Simon J. Walsh Australia 17 505 1.2× 727 2.7× 226 1.6× 8 0.1× 30 0.4× 65 1.1k
David Castle Canada 15 142 0.3× 189 0.7× 32 0.2× 140 1.6× 12 0.1× 55 641
Yung Chul Park South Korea 24 416 1.0× 522 1.9× 246 1.8× 132 1.5× 87 1.0× 186 1.9k
Markus Schmidt Austria 19 704 1.6× 218 0.8× 64 0.5× 236 2.7× 6 0.1× 42 1.2k
Jacob S. Sherkow United States 14 296 0.7× 74 0.3× 18 0.1× 49 0.6× 6 0.1× 61 574
Michael S. Mayer United States 17 324 0.8× 178 0.7× 62 0.4× 521 6.1× 41 0.5× 47 1.1k
Myra L. Samuels United States 11 106 0.2× 75 0.3× 68 0.5× 80 0.9× 4 0.0× 25 714

Countries citing papers authored by Dan E. Krane

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Krane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Krane. 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 Dan E. Krane. The network helps show where Dan E. Krane may publish in the future.

Co-authorship network of co-authors of Dan E. Krane

This figure shows the co-authorship network connecting the top 25 collaborators of Dan E. Krane. A scholar is included among the top collaborators of Dan E. Krane 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 Dan E. Krane. Dan E. Krane 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.
Krane, Dan E., et al.. (2025). On forensic likelihood ratios from low-coverage sequencing. Forensic Science International Genetics. 79. 103302–103302. 1 indexed citations
2.
Thompson, William C., Laurence D. Mueller, & Dan E. Krane. (2012). Forensic DNA Statistics: Still Controversial in Some Cases. eScholarship (California Digital Library). 12–23. 2 indexed citations
3.
Heizer, Esley M., et al.. (2012). Metabolic and Translational Efficiency in Microbial Organisms. Journal of Molecular Evolution. 74(3-4). 206–216. 14 indexed citations
4.
Heizer, Esley M., Michael L. Raymer, & Dan E. Krane. (2011). Amino Acid Biosynthetic Cost and Protein Conservation. Journal of Molecular Evolution. 72(5-6). 466–473. 15 indexed citations
5.
Gilder, Jason R., Keith Inman, William M. Shields, & Dan E. Krane. (2010). Magnitude-dependent variation in peak height balance at heterozygous STR loci. International Journal of Legal Medicine. 125(1). 87–94. 16 indexed citations
6.
Krane, Dan E., et al.. (2009). Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(2). 238–250. 8 indexed citations
7.
Heizer, Esley M., et al.. (2008). Do Amino Acid Biosynthetic Costs Constrain Protein Evolution in Saccharomyces cerevisiae?. Journal of Molecular Evolution. 67(6). 621–630. 46 indexed citations
8.
Heizer, Esley M., et al.. (2006). Amino Acid Cost and Codon-Usage Biases in 6 Prokaryotic Genomes: A Whole-Genome Analysis. Molecular Biology and Evolution. 23(9). 1670–1680. 61 indexed citations
9.
Pilgrim, Erik M., et al.. (2002). Combining DNA sequences and morphology in systematics: testing the validity of the dragonfly species Cordulegaster bilineata. Heredity. 89(3). 184–190. 31 indexed citations
10.
Doom, Travis E., Michael G. Raymer, Dan E. Krane, & Óscar García. (2002). A proposed undergraduate bioinformatics curriculum for computer scientists. ACM SIGCSE Bulletin. 34(1). 78–81. 2 indexed citations
11.
Krane, Dan E.. (2000). Rapd DNA Profile-Based Measures of Genetic Diversity are Correlated with Environmental Impacts. Organic Letters. 220(5). 1072–1075. 1 indexed citations
12.
Skepner, Adam & Dan E. Krane. (1998). RAPD reveals genetic similarity of Acer saccharum and Acer nigrum. Heredity. 80(4). 422–428. 15 indexed citations
13.
Skepner, Adam & Dan E. Krane. (1997). cpDNA of Acer saccharum and Acer nigrum are Very Similar. The Ohio Journal of Science. 97(4). 90–93.
14.
Ayala, Francisco J., Dan E. Krane, & Daniel L. Hartl. (1994). Genetic variation in IncI1-co1Ib plasmids. Journal of Molecular Evolution. 39(2). 129–133. 6 indexed citations
15.
Carulli, John P., Dan E. Krane, Daniel L. Hartl, & Howard Ochman. (1993). Compositional heterogeneity and patterns of molecular evolution in the Drosophila genome.. Genetics. 134(3). 837–845. 28 indexed citations
16.
Krane, Dan E., Robert W. Allen, Stanley Sawyer, Dmitri A. Petrov, & Daniel L. Hartl. (1992). Genetic differences at four DNA typing loci in Finnish, Italian, and mixed Caucasian populations.. Proceedings of the National Academy of Sciences. 89(22). 10583–10587. 40 indexed citations
17.
Krane, Dan E., Andrew G. Clark, Jan‐Fang Cheng, & Ross C. Hardison. (1991). Subfamily relationships and clustering of rabbit C repeats.. Molecular Biology and Evolution. 8(1). 1–30. 29 indexed citations
18.
Hardison, Ross C., Dan E. Krane, David J. Vandenbergh, et al.. (1991). Sequence and comparative analysis of the rabbit α-like globin gene cluster reveals a rapid mode of evolution in a G + C-rich region of mammalian genomes. Journal of Molecular Biology. 222(2). 233–249. 27 indexed citations
19.
Yost, Susan E., et al.. (1991). Intragenic Sequences and Proteins Regulating the Rabbit α-Globin Gene. Journal of Bioresource Management. 220–234. 3 indexed citations
20.
Krane, Dan E. & Ross C. Hardison. (1990). Short interspersed repeats in rabbit DNA can provide functional polyadenylation signals.. Molecular Biology and Evolution. 7(1). 1–8. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by R. W. Davies Breakdown of academic impact, for papers by David J. Carroll Breakdown of academic impact, for papers by Zihua Zhao Breakdown of academic impact, for papers by Simon J. Walsh Breakdown of academic impact, for papers by David Castle Breakdown of academic impact, for papers by Yung Chul Park Breakdown of academic impact, for papers by Markus Schmidt Breakdown of academic impact, for papers by Jacob S. Sherkow Breakdown of academic impact, for papers by Michael S. Mayer Breakdown of academic impact, for papers by Myra L. Samuels
Rankless by CCL
2026