David L. Black

41 total papers · 1.0k total citations
35 papers, 850 citations indexed

About

David L. Black is a scholar working on Toxicology, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, David L. Black has authored 35 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Toxicology, 13 papers in Public Health, Environmental and Occupational Health and 10 papers in Pharmacology. Recurrent topics in David L. Black's work include Forensic Toxicology and Drug Analysis (16 papers), Opioid Use Disorder Treatment (13 papers) and Pharmacological Effects and Toxicity Studies (6 papers). David L. Black is often cited by papers focused on Forensic Toxicology and Drug Analysis (16 papers), Opioid Use Disorder Treatment (13 papers) and Pharmacological Effects and Toxicity Studies (6 papers). David L. Black collaborates with scholars based in United States, South Africa and United Kingdom. David L. Black's co-authors include Yale H. Caplan, Edward J. Cone, F. Moser, Rebecca Heltsley, T. Robert, Anne Z. DePriest, Melinda K. Shelby, Frederick W. Reckling, E. J. Cone and Charles LoDico and has published in prestigious journals such as Gut, Endocrinology and Clinical Orthopaedics and Related Research.

In The Last Decade

David L. Black

34 papers receiving 796 citations

Author Peers

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

Author						Papers	Cites
David L. Black	354	228	126	125	104	35	850
Timothy J. Wiegand	141 0.4×	220 1.0×	121 1.0×	93 0.7×	81 0.8×	63	976
Robert Meatherall	326 0.9×	51 0.2×	101 0.8×	77 0.6×	56 0.5×	44	845
Anni Steentoft	546 1.5×	234 1.0×	243 1.9×	50 0.4×	37 0.4×	65	1.0k
C. Andrew Robinson	89 0.3×	70 0.3×	109 0.9×	77 0.6×	123 1.2×	43	839
Kirsten Wiese Simonsen	519 1.5×	243 1.1×	213 1.7×	34 0.3×	26 0.3×	45	993
Peter H. Schmidt	275 0.8×	58 0.3×	197 1.6×	106 0.8×	51 0.5×	54	712
Luis H. Martín Arias	174 0.5×	129 0.6×	170 1.3×	26 0.2×	175 1.7×	59	958
Franklin K. Johnson	75 0.2×	239 1.0×	217 1.7×	204 1.6×	58 0.6×	40	725
Karl Verebely	90 0.3×	104 0.5×	95 0.8×	182 1.5×	44 0.4×	19	890
Brandon K. Wills	68 0.2×	160 0.7×	76 0.6×	51 0.4×	113 1.1×	72	728

Countries citing papers authored by David L. Black

Since Specialization

Citations

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

Fields of papers citing papers by David L. Black

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Black

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