David P. Astling

70 total papers · 1.6k total citations
24 papers, 892 citations indexed

About

David P. Astling is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David P. Astling has authored 24 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David P. Astling's work include Bacterial Genetics and Biotechnology (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Lung Cancer Treatments and Mutations (4 papers). David P. Astling is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Lung Cancer Treatments and Mutations (4 papers). David P. Astling collaborates with scholars based in United States, Qatar and Canada. David P. Astling's co-authors include Aik Choon Tan, Lynn E. Heasley, Trista K. Hinz, David R. Zusman, Emily K. Kleczko, Katherine R. Singleton, Lindsay A. Marek, Douglas K. Graham, B. Helfrich and Christopher T. Cummings and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

David P. Astling

24 papers receiving 882 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David P. Astling	587	226	224	153	97	24	892
Eric P. Rahrmann	605 1.0×	182 0.8×	127 0.6×	120 0.8×	129 1.3×	27	1.0k
Lingtao Wu	717 1.2×	150 0.7×	333 1.5×	202 1.3×	92 0.9×	34	1000
Michael J. Gerdes	616 1.0×	139 0.6×	248 1.1×	112 0.7×	171 1.8×	25	1.0k
Maria I. Nuñez	580 1.0×	123 0.5×	223 1.0×	250 1.6×	130 1.3×	19	873
R. M. Sharrard	457 0.8×	118 0.5×	229 1.0×	78 0.5×	104 1.1×	31	866
Kevin W. Freeman	842 1.4×	161 0.7×	270 1.2×	125 0.8×	178 1.8×	17	1.1k
Youwen Yang	666 1.1×	108 0.5×	108 0.5×	281 1.8×	153 1.6×	23	974
Alexandros Strikoudis	584 1.0×	186 0.8×	182 0.8×	58 0.4×	67 0.7×	13	880
Jared J. Barrott	486 0.8×	200 0.9×	153 0.7×	68 0.4×	64 0.7×	37	711
Xianmin Xia	634 1.1×	81 0.4×	206 0.9×	143 0.9×	99 1.0×	24	964

Countries citing papers authored by David P. Astling

Since Specialization

Citations

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

Fields of papers citing papers by David P. Astling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David P. Astling

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

All Works

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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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