Samuel P. Black

54 total papers · 1.8k total citations
23 papers, 1.5k citations indexed

About

Samuel P. Black is a scholar working on Organic Chemistry, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Samuel P. Black has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 6 papers in Neurology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Samuel P. Black's work include Supramolecular Chemistry and Complexes (6 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and Molecular Sensors and Ion Detection (4 papers). Samuel P. Black is often cited by papers focused on Supramolecular Chemistry and Complexes (6 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and Molecular Sensors and Ion Detection (4 papers). Samuel P. Black collaborates with scholars based in United Kingdom, United States and Germany. Samuel P. Black's co-authors include William J. German, Jeremy K. M. Sanders, Artur R. Stefankiewicz, Jonathan R. Nitschke, Tanya K. Ronson, Salvatore Zarra, Linda E. Ansbacher, Christoph A. Schalley, Maarten M. J. Smulders and Theodore E. Keats and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Samuel P. Black

22 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Samuel P. Black	718	492	315	306	277	23	1.5k
Changwei Zhang	695 1.0×	172 0.3×	605 1.9×	110 0.4×	328 1.2×	60	1.3k
David P. Nowotnik	371 0.5×	185 0.4×	258 0.8×	300 1.0×	97 0.4×	48	2.2k
Arthur Forman	134 0.2×	307 0.6×	425 1.3×	433 1.4×	42 0.2×	28	2.3k
Christine Hamann	214 0.3×	145 0.3×	142 0.5×	112 0.4×	83 0.3×	60	1.9k
Richard Ting	324 0.5×	80 0.2×	267 0.8×	179 0.6×	112 0.4×	50	1.7k
Luxuan Guo	328 0.5×	186 0.4×	121 0.4×	127 0.4×	24 0.1×	38	2.4k
Xuyi Yue	362 0.5×	84 0.2×	488 1.5×	183 0.6×	51 0.2×	63	1.8k
Michael Ho‐Yeung Chan	397 0.6×	42 0.1×	650 2.1×	456 1.5×	176 0.6×	54	2.2k
F.J. Femia	282 0.4×	37 0.1×	279 0.9×	425 1.4×	145 0.5×	35	1.4k
Hong-Jun Hao	150 0.2×	249 0.5×	266 0.8×	42 0.1×	34 0.1×	100	1.4k

Countries citing papers authored by Samuel P. Black

Since Specialization

Citations

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

Fields of papers citing papers by Samuel P. Black

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel P. Black

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