David G. Alberg

22 total papers · 1.3k total citations
18 papers, 1.1k citations indexed

About

David G. Alberg is a scholar working on Molecular Biology, Organic Chemistry and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David G. Alberg has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David G. Alberg's work include Signaling Pathways in Disease (7 papers), Research on Leishmaniasis Studies (4 papers) and Peptidase Inhibition and Analysis (3 papers). David G. Alberg is often cited by papers focused on Signaling Pathways in Disease (7 papers), Research on Leishmaniasis Studies (4 papers) and Peptidase Inhibition and Analysis (3 papers). David G. Alberg collaborates with scholars based in United States and Denmark. David G. Alberg's co-authors include Stuart L. Schreiber, Peter J. Belshaw, Thomas J. Wandless, Sheng Luan, Mark W. Albers, Claude B. Klee, Philip Cohen, Carol MacKintosh, Paul A. Bartlett and W. Harmon and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

David G. Alberg

18 papers receiving 1.0k 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 G. Alberg 760 263 190 182 73 18 1.1k
A. K. Wong 682 0.9× 388 1.5× 210 1.1× 101 0.6× 82 1.1× 21 1.3k
Song Lin 467 0.6× 200 0.8× 77 0.4× 135 0.7× 37 0.5× 26 935
Martin Hibbs 417 0.5× 227 0.9× 245 1.3× 64 0.4× 24 0.3× 25 1.0k
Martin Spitaler 909 1.2× 267 1.0× 51 0.3× 384 2.1× 55 0.8× 27 1.4k
Jintang He 798 1.1× 178 0.7× 71 0.4× 347 1.9× 24 0.3× 40 1.3k
Ander Estella‐Hermoso de Mendoza 689 0.9× 62 0.2× 84 0.4× 100 0.5× 85 1.2× 27 1.2k
Hidekazu Sawada 600 0.8× 410 1.6× 106 0.6× 245 1.3× 62 0.8× 25 1.3k
Robert D. Fugate 483 0.6× 374 1.4× 66 0.3× 68 0.4× 93 1.3× 23 1.4k
Howard A. Kaplan 717 0.9× 325 1.2× 91 0.5× 49 0.3× 22 0.3× 23 1.1k
J. Goossens 566 0.7× 671 2.6× 44 0.2× 192 1.1× 18 0.2× 19 1.4k

Countries citing papers authored by David G. Alberg

Since Specialization
Citations

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

Fields of papers citing papers by David G. Alberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Alberg

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