Daniel A Pollard

3.1k total citations
8 papers, 307 citations indexed

About

Daniel A Pollard is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Daniel A Pollard has authored 8 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Daniel A Pollard's work include Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers) and Genetic diversity and population structure (2 papers). Daniel A Pollard is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers) and Genetic diversity and population structure (2 papers). Daniel A Pollard collaborates with scholars based in United States. Daniel A Pollard's co-authors include Alan M Moses, Michael B. Eisen, Venky N. Iyer, Mark D. Biggin, David A. Nix, Xiaoyong Li, Matthew V. Rockman, Thomas D. Pollard and Katherine S. Pollard and has published in prestigious journals such as Molecular Biology of the Cell, PLoS Genetics and BMC Bioinformatics.

In The Last Decade

Daniel A Pollard

8 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A Pollard United States	6	255	104	89	23	12	8	307
George J. Watase United States	7	275 1.1×	122 1.2×	59 0.7×	15 0.7×	30 2.5×	8	310
Galina L. Kogan Russia	12	259 1.0×	210 2.0×	106 1.2×	18 0.8×	8 0.7×	32	359
Stepan N. Belyakin Russia	13	388 1.5×	235 2.3×	72 0.8×	18 0.8×	14 1.2×	30	441
Monica F. Sentmanat United States	6	317 1.2×	85 0.8×	72 0.8×	20 0.9×	14 1.2×	8	346
Sharon E. Torigoe United States	6	469 1.8×	82 0.8×	51 0.6×	30 1.3×	5 0.4×	8	485
Joshua F. Meckler United States	7	460 1.8×	93 0.9×	100 1.1×	23 1.0×	3 0.3×	8	507
Jonathan O. Nelson United States	7	211 0.8×	90 0.9×	31 0.3×	18 0.8×	15 1.3×	10	244
Zhenchao Cheng China	5	278 1.1×	74 0.7×	53 0.6×	21 0.9×	8 0.7×	7	312
Mandy Jeske Germany	9	272 1.1×	51 0.5×	32 0.4×	10 0.4×	17 1.4×	12	300
R. Stefan Isaac United States	8	301 1.2×	46 0.4×	30 0.3×	27 1.2×	10 0.8×	8	336

Countries citing papers authored by Daniel A Pollard

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A Pollard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A Pollard

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A Pollard. A scholar is included among the top collaborators of Daniel A Pollard 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 A Pollard. Daniel A Pollard 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

Pollard, Daniel A, Thomas D. Pollard, & Katherine S. Pollard. (2019). Empowering statistical methods for cellular and molecular biologists. Molecular Biology of the Cell. 30(12). 1359–1368. 33 indexed citations

Pollard, Daniel A & Matthew V. Rockman. (2013). Resistance to Germline RNA Interference in a Caenorhabditis elegans Wild Isolate Exhibits Complexity and Nonadditivity. G3 Genes Genomes Genetics. 3(6). 941–947. 25 indexed citations

Pollard, Daniel A. (2012). Design and Construction of Recombinant Inbred Lines. Methods in molecular biology. 871. 31–39. 15 indexed citations

Moses, Alan M, Daniel A Pollard, David A. Nix, et al.. (2006). Large-Scale Turnover of Functional Transcription Factor Binding Sites in Drosophila. PLoS Computational Biology. 2(10). e130–e130. 179 indexed citations

Pollard, Daniel A, Alan M Moses, Venky N. Iyer, & Michael B. Eisen. (2006). Detecting the limits of regulatory element conservation and divergence estimation using pairwise and multiple alignments. BMC Bioinformatics. 7(1). 376–376. 38 indexed citations

Moses, Alan M, Daniel A Pollard, David A. Nix, et al.. (2005). Large-scale turnover of functional transcription factor binding sites in Drosophila. PLoS Computational Biology. preprint(2006). e130–e130. 13 indexed citations

Pollard, Daniel A, Venky N. Iyer, Alan M Moses, & Michael B. Eisen. (2005). Whole Genome Phylogeny of the Drosophila melanogaster Species Subgroup: Widespread Discordance with Species Tree & Evidence for Incomplete Lineage Sorting. PLoS Genetics. preprint(2006). e173–e173. 3 indexed citations

Pollard, Daniel A. (1995). Missing link for intracellular bacterial motility? Vasodilator-stimulated phosphoprotein (VASP) associates with virulence factors on the surface of intracellular bacteria; by binding to profilin, VASP may help direct the actin assembly that appears to drive bacterial motility.. 1 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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