Albert J. Dal Canto

14 total papers · 1.5k total citations
10 papers, 1.3k citations indexed

About

Albert J. Dal Canto is a scholar working on Epidemiology, Rheumatology and Immunology. According to data from OpenAlex, Albert J. Dal Canto has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Rheumatology and 4 papers in Immunology. Recurrent topics in Albert J. Dal Canto's work include Atherosclerosis and Cardiovascular Diseases (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Systemic Lupus Erythematosus Research (3 papers). Albert J. Dal Canto is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Systemic Lupus Erythematosus Research (3 papers). Albert J. Dal Canto collaborates with scholars based in United States. Albert J. Dal Canto's co-authors include Herbert W. Virgin, Samuel H. Speck, Karen E. Weck, Phil Latreille, P Wamsley, John V. Linberg, Rachel M. Presti, Jessica L. Pollock, Jeffrey E. Saffitz and Kevin A. Roth and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Albert J. Dal Canto

10 papers receiving 1.3k citations

Hit Papers

Complete sequence and gen... 1997 2026 2006 2016 1997 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Albert J. Dal Canto 870 742 320 149 129 10 1.3k
Holger Bartz 311 0.4× 252 0.3× 669 2.1× 100 0.7× 191 1.5× 20 1.1k
Jeff L. Bidwell 350 0.4× 263 0.4× 779 2.4× 82 0.6× 124 1.0× 19 1.7k
A H Rook 349 0.4× 212 0.3× 625 2.0× 139 0.9× 60 0.5× 11 1.2k
Mark Lazarus 439 0.5× 238 0.3× 985 3.1× 94 0.6× 151 1.2× 8 1.8k
Tracey C. Dawson 288 0.3× 579 0.8× 1.0k 3.2× 78 0.5× 87 0.7× 11 1.6k
L Fisher 392 0.5× 362 0.5× 563 1.8× 234 1.6× 93 0.7× 16 1.7k
T W Post 333 0.4× 399 0.5× 1.1k 3.3× 144 1.0× 61 0.5× 12 1.7k
D D Taub 203 0.2× 676 0.9× 1.0k 3.2× 69 0.5× 90 0.7× 9 1.8k
Kevin Conlon 235 0.3× 604 0.8× 1.0k 3.1× 86 0.6× 77 0.6× 8 1.6k
C Zietz 363 0.4× 829 1.1× 178 0.6× 234 1.6× 40 0.3× 26 1.2k

Countries citing papers authored by Albert J. Dal Canto

Since Specialization
Citations

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

Fields of papers citing papers by Albert J. Dal Canto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert J. Dal Canto. 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 Albert J. Dal Canto. The network helps show where Albert J. Dal Canto may publish in the future.

Co-authorship network of co-authors of Albert J. Dal Canto

This figure shows the co-authorship network connecting the top 25 collaborators of Albert J. Dal Canto. A scholar is included among the top collaborators of Albert J. Dal Canto 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 Albert J. Dal Canto. Albert J. Dal Canto 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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