W B Campbell

24 total papers · 1.6k total citations
19 papers, 1.3k citations indexed

About

W B Campbell is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biochemistry. According to data from OpenAlex, W B Campbell has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Biochemistry. Recurrent topics in W B Campbell's work include Eicosanoids and Hypertension Pharmacology (5 papers), Inflammatory mediators and NSAID effects (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). W B Campbell is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (5 papers), Inflammatory mediators and NSAID effects (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). W B Campbell collaborates with scholars based in United States, Norway and Saudi Arabia. W B Campbell's co-authors include T. Kent Keeton, L. Maximilian Buja, James T. Willerson, J H Ashton, Claude R. Benedict, R M Graham, W. A. Pettinger, Suraj Raheja, Andrew J. Taylor and Kéiichi Tanaka and has published in prestigious journals such as The Lancet, Circulation and Journal of Clinical Investigation.

In The Last Decade

W B Campbell

19 papers receiving 1.2k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
W B Campbell	662	316	238	217	153	19	1.3k
Stephen Gunther	1.0k 1.5×	466 1.5×	239 1.0×	170 0.8×	214 1.4×	25	1.6k
W. H. Beierwaltes	459 0.7×	252 0.8×	374 1.6×	250 1.2×	86 0.6×	39	1.2k
Li Yao	596 0.9×	470 1.5×	248 1.0×	528 2.4×	251 1.6×	23	1.4k
B. J. McDermott	517 0.8×	251 0.8×	418 1.8×	219 1.0×	146 1.0×	10	1.2k
Joseph P. Noon	585 0.9×	244 0.8×	626 2.6×	299 1.4×	112 0.7×	18	1.5k
Alexander J. Hill	492 0.7×	394 1.2×	280 1.2×	148 0.7×	309 2.0×	42	1.8k
James E. Greenwald	617 0.9×	411 1.3×	179 0.8×	104 0.5×	106 0.7×	27	1.4k
A. J. Man inʼt Veld	738 1.1×	333 1.1×	179 0.8×	194 0.9×	277 1.8×	55	1.5k
Paul Smits	581 0.9×	171 0.5×	340 1.4×	158 0.7×	120 0.8×	29	1.1k
G. J. Wenting	635 1.0×	275 0.9×	131 0.6×	267 1.2×	168 1.1×	36	1.1k

Countries citing papers authored by W B Campbell

Since Specialization

Citations

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

Fields of papers citing papers by W B Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W B Campbell. 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 W B Campbell. The network helps show where W B Campbell may publish in the future.

Co-authorship network of co-authors of W B Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of W B Campbell. A scholar is included among the top collaborators of W B Campbell 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 W B Campbell. W B Campbell 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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