David Seifert

449 total citations
8 papers, 289 citations indexed

About

David Seifert is a scholar working on Genetics, Molecular Biology and Virology. According to data from OpenAlex, David Seifert has authored 8 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Virology. Recurrent topics in David Seifert's work include Genomics and Phylogenetic Studies (4 papers), HIV Research and Treatment (3 papers) and Evolution and Genetic Dynamics (3 papers). David Seifert is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), HIV Research and Treatment (3 papers) and Evolution and Genetic Dynamics (3 papers). David Seifert collaborates with scholars based in Switzerland and United States. David Seifert's co-authors include Niko Beerenwinkel, Susana Posada-Céspedes, Robert B. Page, David M. Marsh, Paul R. Cabe, Karin J. Metzner, Elizabeth C. Little, Ivan Topolsky, Kim Philipp Jablonski and Francesca Di Giallonardo and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and Genetics.

In The Last Decade

David Seifert

8 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Seifert Switzerland	7	120	98	97	69	59	8	289
Margaret Driciru United States	6	135 1.1×	81 0.8×	45 0.5×	36 0.5×	19 0.3×	6	254
Mericien Venzon United States	3	45 0.4×	125 1.3×	64 0.7×	117 1.7×	35 0.6×	4	266
Andrew M. Sackman United States	9	34 0.3×	161 1.6×	78 0.8×	18 0.3×	33 0.6×	11	233
Luisa Garofalo Italy	10	114 0.9×	114 1.2×	57 0.6×	99 1.4×	16 0.3×	23	306
Karla Tapia United States	5	60 0.5×	38 0.4×	38 0.4×	21 0.3×	102 1.7×	6	350
Sarah J. Baker United States	11	80 0.7×	41 0.4×	42 0.4×	173 2.5×	27 0.5×	22	294
Veronica S. Kirchoff United States	11	112 0.9×	145 1.5×	27 0.3×	30 0.4×	10 0.2×	17	311
Jessica Farrell United States	9	97 0.8×	25 0.3×	61 0.6×	16 0.2×	34 0.6×	17	222
Amr Aswad United Kingdom	11	69 0.6×	68 0.7×	117 1.2×	9 0.1×	51 0.9×	12	382
Olivia Daniel United Kingdom	6	57 0.5×	24 0.2×	53 0.5×	196 2.8×	30 0.5×	9	271

Countries citing papers authored by David Seifert

Since Specialization

Citations

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

Fields of papers citing papers by David Seifert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Seifert

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

All Works

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8 of 8 papers shown

1.

Seifert, David, Béda Joos, Dominique L. Braun, et al.. (2022). Detecting Selection in the HIV-1 Genome during Sexual Transmission Events. Viruses. 14(2). 406–406. 1 indexed citations

2.

Posada-Céspedes, Susana, David Seifert, Ivan Topolsky, et al.. (2021). V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput data. Bioinformatics. 37(12). 1673–1680. 46 indexed citations

3.

Posada-Céspedes, Susana, David Seifert, & Niko Beerenwinkel. (2016). Recent advances in inferring viral diversity from high-throughput sequencing data. Virus Research. 239. 17–32. 71 indexed citations

4.

Seifert, David & Niko Beerenwinkel. (2015). Estimating Fitness of Viral Quasispecies from Next-Generation Sequencing Data. Current topics in microbiology and immunology. 392. 181–200. 12 indexed citations

5.

Seifert, David, Francesca Di Giallonardo, Armin Töpfer, et al.. (2015). A Comprehensive Analysis of Primer IDs to Study Heterogeneous HIV-1 Populations. Journal of Molecular Biology. 428(1). 238–250. 21 indexed citations

6.

Seifert, David, Francesca Di Giallonardo, Karin J. Metzner, Huldrych F. Günthard, & Niko Beerenwinkel. (2014). A Framework for Inferring Fitness Landscapes of Patient-Derived Viruses Using Quasispecies Theory. Genetics. 199(1). 191–203. 20 indexed citations

7.

Marsh, David M., Robert B. Page, Noelle G. Beckman, et al.. (2007). Ecological and genetic evidence that low-order streams inhibit dispersal by red-backed salamanders (Plethodon cinereus). Canadian Journal of Zoology. 85(3). 319–327. 38 indexed citations

8.

Marsh, David M., et al.. (2007). Effects of roads on patterns of genetic differentiation in red-backed salamanders, Plethodon cinereus. Conservation Genetics. 9(3). 603–613. 80 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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