David Weese

2.3k total citations
40 papers, 1.4k citations indexed

About

David Weese is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, David Weese has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Ecology and 13 papers in Artificial Intelligence. Recurrent topics in David Weese's work include Genomics and Phylogenetic Studies (18 papers), Algorithms and Data Compression (12 papers) and Marine Biology and Ecology Research (9 papers). David Weese is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Algorithms and Data Compression (12 papers) and Marine Biology and Ecology Research (9 papers). David Weese collaborates with scholars based in United States, Germany and China. David Weese's co-authors include Knut Reinert, Andreas Gogol‐Döring, Tobias Rausch, Anne‐Katrin Emde, Manuel Holtgrewe, Scott R. Santos, Kevin M. Kocot, Damien S. Waits, Kenneth M. Halanych and Johanna T. Cannon and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Current Biology.

In The Last Decade

David Weese

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Weese United States 20 928 285 269 235 165 40 1.4k
Quinn Snell United States 13 436 0.5× 91 0.3× 291 1.1× 276 1.2× 184 1.1× 69 1.2k
Olivier Gascuel France 14 1.4k 1.5× 135 0.5× 327 1.2× 721 3.1× 462 2.8× 17 2.2k
Sonja J. Prohaska Germany 25 1.9k 2.1× 60 0.2× 410 1.5× 496 2.1× 466 2.8× 64 2.5k
Edward Susko Canada 27 1.8k 1.9× 102 0.4× 675 2.5× 862 3.7× 332 2.0× 90 2.4k
Adrian Altenhoff Switzerland 20 1.3k 1.4× 39 0.1× 204 0.8× 407 1.7× 314 1.9× 31 1.9k
Sankar Subramanian Australia 19 2.0k 2.2× 43 0.2× 528 2.0× 1000 4.3× 347 2.1× 56 3.1k
Paul Havlak United States 15 614 0.7× 77 0.3× 83 0.3× 355 1.5× 208 1.3× 18 1.3k
Qianghua Xu China 19 496 0.5× 61 0.2× 510 1.9× 273 1.2× 53 0.3× 75 1.3k
James P. Balhoff United States 22 899 1.0× 298 1.0× 65 0.2× 225 1.0× 88 0.5× 55 1.4k
Éric Rivals France 23 1.8k 1.9× 394 1.4× 232 0.9× 362 1.5× 531 3.2× 78 2.3k

Countries citing papers authored by David Weese

Since Specialization
Citations

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

Fields of papers citing papers by David Weese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Weese

This figure shows the co-authorship network connecting the top 25 collaborators of David Weese. A scholar is included among the top collaborators of David Weese 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 David Weese. David Weese 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.
He, Lijun, Yonghong Bi, David Weese, et al.. (2024). Genetic Signature of River Capture Imprinted in Schizopygopsis Fish from the Eastern Tibetan Plateau. Genes. 15(9). 1148–1148.
2.
Burt, Christopher D. B., et al.. (2023). Microbially induced calcium carbonate precipitation in broiler litter and its effect on soil pH. Soil Science Society of America Journal. 87(5). 1136–1146. 4 indexed citations
3.
Weese, David, et al.. (2023). Investigating the Effects of Increasing Water Salinity on an Endemic Crayfish. Journal of Coastal Research. 39(5). 1 indexed citations
4.
Reinert, Knut, Temesgen Hailemariam Dadi, Hannes Hauswedell, et al.. (2017). The SeqAn C++ template library for efficient sequence analysis: A resource for programmers. Journal of Biotechnology. 261. 157–168. 56 indexed citations
5.
Weese, David, Yoshihisa Fujita, & Scott R. Santos. (2016). Looking for Needles in a Haystack: Molecular Identification of Anchialine Crustacean Larvae (Decapoda: Caridea) From the Shiokawa Spring, Okinawa Island, Ryukyu Islands, Japan. Journal of Crustacean Biology. 36(1). 61–67. 2 indexed citations
6.
Kocot, Kevin M., Torsten H. Struck, Damien S. Waits, et al.. (2016). Phylogenomics of Lophotrochozoa with Consideration of Systematic Error. Systematic Biology. 66(2). syw079–syw079. 155 indexed citations
7.
Canzar, Stefan, Sandro Andreotti, David Weese, Knut Reinert, & Gunnar W. Klau. (2016). CIDANE: comprehensive isoform discovery and abundance estimation. Genome biology. 17(1). 16–16. 36 indexed citations
8.
Havird, Justin C., Kevin M. Kocot, Pamela M. Brannock, et al.. (2015). Reconstruction of Cyclooxygenase Evolution in Animals Suggests Variable, Lineage-Specific Duplications, and Homologs with Low Sequence Identity. Journal of Molecular Evolution. 80(3-4). 193–208. 7 indexed citations
9.
10.
Cannon, Johanna T., Kevin M. Kocot, Damien S. Waits, et al.. (2014). Phylogenomic Resolution of the Hemichordate and Echinoderm Clade. Current Biology. 24(23). 2827–2832. 93 indexed citations
11.
Arthofer, Wolfgang, Barbara L. Banbury, Miguel Carneiro, et al.. (2014). Genomic Resources Notes Accepted 1 August 2014–30 September 2014. Molecular Ecology Resources. 15(1). 228–229. 22 indexed citations
12.
Schulz, Marcel H., et al.. (2014). Fiona: a parallel and automatic strategy for read error correction. Bioinformatics. 30(17). i356–i363. 45 indexed citations
13.
He, Lijun, Ai‐bing Zhang, David Weese, et al.. (2014). Demographic response of cutlassfish (Trichiurus japonicus and T. nanhaiensis) to fluctuating palaeo-climate and regional oceanographic conditions in the China seas. Scientific Reports. 4(1). 6380–6380. 26 indexed citations
14.
Weese, David, Yoshihisa Fujita, & Scott R. Santos. (2013). Multiple Colonizations Lead to Cryptic Biodiversity in an Island Ecosystem: Comparative Phylogeography of Anchialine Shrimp Species in the Ryukyu Archipelago, Japan. Biological Bulletin. 225(1). 24–41. 15 indexed citations
15.
Kehr, Birte, David Weese, & Knut Reinert. (2011). STELLAR: fast and exact local alignments. BMC Bioinformatics. 12(S9). S15–S15. 22 indexed citations
16.
Santos, Scott R. & David Weese. (2011). Rocks and clocks: linking geologic history and rates of genetic differentiation in anchialine organisms. Hydrobiologia. 677(1). 53–64. 9 indexed citations
17.
Holtgrewe, Manuel, Anne‐Katrin Emde, David Weese, & Knut Reinert. (2011). A novel and well-defined benchmarking method for second generation read mapping. BMC Bioinformatics. 12(1). 210–210. 54 indexed citations
18.
Weese, David, Anne‐Katrin Emde, Tobias Rausch, Andreas Gogol‐Döring, & Knut Reinert. (2009). RazerS—fast read mapping with sensitivity control. Genome Research. 19(9). 1646–1654. 103 indexed citations
19.
Weese, David, Denson Kelly McLain, Ann E. Pratt, & Quentin Q. Fang. (2009). Population structure of the Atlantic sand fiddler crab Uca pugilator along the eastern coast of US revealed by molecular data. Current Zoology. 55(2). 150–157. 5 indexed citations
20.
Gogol‐Döring, Andreas, David Weese, Tobias Rausch, & Knut Reinert. (2008). SeqAn An efficient, generic C++ library for sequence analysis. BMC Bioinformatics. 9(1). 11–11. 222 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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