David S. Needleman

51 total papers · 1.4k total citations
37 papers, 1.1k citations indexed

About

David S. Needleman is a scholar working on Molecular Biology, Endocrinology and Food Science. According to data from OpenAlex, David S. Needleman has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Endocrinology and 9 papers in Food Science. Recurrent topics in David S. Needleman's work include Genomics and Phylogenetic Studies (12 papers), Bacteriophages and microbial interactions (8 papers) and Escherichia coli research studies (8 papers). David S. Needleman is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Bacteriophages and microbial interactions (8 papers) and Escherichia coli research studies (8 papers). David S. Needleman collaborates with scholars based in United States, Canada and South Korea. David S. Needleman's co-authors include Anthony R. Means, Gary P. Richards, Michael A. Watson, Pina M. Fratamico, Bruce E. Kemp, Mary Y. Hurwitz, Richard B. Pearson, Gayle R. Slaughter, Chitrita DebRoy and Yanhong Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

David S. Needleman

37 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
David S. Needleman 435 307 239 216 183 37 1.1k
Daniel Humphreys 395 0.9× 319 1.0× 247 1.0× 110 0.5× 126 0.7× 19 990
Trudi Gillespie 380 0.9× 191 0.6× 211 0.9× 87 0.4× 84 0.5× 26 1.2k
Peter Hume 344 0.8× 393 1.3× 289 1.2× 120 0.6× 118 0.6× 22 958
David Liebl 423 1.0× 141 0.5× 167 0.7× 202 0.9× 90 0.5× 26 1.1k
Frank Breinig 678 1.6× 162 0.5× 160 0.7× 80 0.4× 129 0.7× 35 1.1k
Jana Kamanová 456 1.0× 285 0.9× 109 0.5× 94 0.4× 266 1.5× 23 1.2k
Xiao-Qin Xia 516 1.2× 209 0.7× 93 0.4× 139 0.6× 241 1.3× 79 1.4k
Valérie Prouzet‐Mauleon 590 1.4× 157 0.5× 370 1.5× 51 0.2× 84 0.5× 41 1.1k
Allison M. Weis 513 1.2× 82 0.3× 186 0.8× 89 0.4× 104 0.6× 31 980
Simon Daefler 540 1.2× 184 0.6× 119 0.5× 113 0.5× 72 0.4× 28 913

Countries citing papers authored by David S. Needleman

Since Specialization
Citations

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

Fields of papers citing papers by David S. Needleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Needleman

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Needleman. A scholar is included among the top collaborators of David S. Needleman 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 S. Needleman. David S. Needleman 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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