William Blackwelder

9 total papers · 787 total citations
7 papers, 424 citations indexed

About

William Blackwelder is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, William Blackwelder has authored 7 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in William Blackwelder's work include Aortic aneurysm repair treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Respiratory viral infections research (1 paper). William Blackwelder is often cited by papers focused on Aortic aneurysm repair treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Respiratory viral infections research (1 paper). William Blackwelder collaborates with scholars based in United States and France. William Blackwelder's co-authors include Mark Wolff, Bethanie Wilkinson, Diane O’Brien, Jean Hu‐Primmer, John J. Treanor, Jacqueline M. Katz, John Donnelly, George França dos Santos, R. Randall Deck and Dan M. Granoff and has published in prestigious journals such as American Journal of Physiology-Heart and Circulatory Physiology, Vaccine and Journal of Vascular Surgery.

In The Last Decade

William Blackwelder

6 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
William Blackwelder	348	127	100	97	78	7	424
B Karvonen	178 0.5×	102 0.8×	208 2.1×	80 0.8×	59 0.8×	8	375
Zhiguang Ran	338 1.0×	126 1.0×	74 0.7×	32 0.3×	121 1.6×	13	436
Robert Rankin	138 0.4×	94 0.7×	287 2.9×	96 1.0×	42 0.5×	11	487
G.J.M. van Scharrenburg	240 0.7×	198 1.6×	193 1.9×	34 0.4×	19 0.2×	10	482
Cathy Maes	324 0.9×	107 0.8×	129 1.3×	42 0.4×	22 0.3×	13	439
Vanaja R. Zacharopoulos	119 0.3×	119 0.9×	113 1.1×	182 1.9×	35 0.4×	16	438
Morris T. Suggs	257 0.7×	120 0.9×	104 1.0×	23 0.2×	26 0.3×	9	430
P Griebel	188 0.5×	57 0.4×	222 2.2×	52 0.5×	95 1.2×	10	411
Tim J. Zamb	281 0.8×	46 0.4×	255 2.5×	30 0.3×	35 0.4×	10	485
André T. J. Bianchi	269 0.8×	136 1.1×	167 1.7×	14 0.1×	118 1.5×	10	441

Countries citing papers authored by William Blackwelder

Since Specialization

Citations

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

Fields of papers citing papers by William Blackwelder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Blackwelder. 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 William Blackwelder. The network helps show where William Blackwelder may publish in the future.

Co-authorship network of co-authors of William Blackwelder

This figure shows the co-authorship network connecting the top 25 collaborators of William Blackwelder. A scholar is included among the top collaborators of William Blackwelder 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 William Blackwelder. William Blackwelder 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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