Harry S. Earl

12 total papers · 1.5k total citations
9 papers, 1.0k citations indexed

About

Harry S. Earl is a scholar working on Pharmacology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Harry S. Earl has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 5 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Harry S. Earl's work include Drug-Induced Adverse Reactions (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Asthma and respiratory diseases (3 papers). Harry S. Earl is often cited by papers focused on Drug-Induced Adverse Reactions (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Asthma and respiratory diseases (3 papers). Harry S. Earl collaborates with scholars based in United States. Harry S. Earl's co-authors include Timothy J. Sullivan, Lawrence B. Schwartz, Dean D. Metcalfe, Jeffrey S. Miller, Roland Solensky, Rebecca S. Gruchalla, Barbara J. Stark, Edward L. Goodman, Gary N. Gross and William R. Lumry and has published in prestigious journals such as New England Journal of Medicine, Journal of Allergy and Clinical Immunology and Annals of Allergy Asthma & Immunology.

In The Last Decade

Harry S. Earl

9 papers receiving 999 citations

Hit Papers

Tryptase Levels as an Ind... 1987 2026 2000 2013 1987 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
Harry S. Earl 503 499 454 268 223 9 1.0k
Mario Sánchez Borges 375 0.7× 614 1.2× 104 0.2× 149 0.6× 174 0.8× 19 1.0k
D Mauri-Hellweg 813 1.6× 111 0.2× 368 0.8× 324 1.2× 311 1.4× 9 1.1k
Carlos Juárez 669 1.3× 230 0.5× 69 0.2× 269 1.0× 349 1.6× 13 800
Jan P.H. Depta 916 1.8× 75 0.2× 246 0.5× 399 1.5× 307 1.4× 11 1.1k
Tatjana Pecaric-Petkovic 184 0.4× 361 0.7× 451 1.0× 176 0.7× 168 0.8× 9 857
Eva‐B. Bröcker 76 0.2× 271 0.5× 245 0.5× 77 0.3× 359 1.6× 7 800
Frank Altznauer 91 0.2× 267 0.5× 503 1.1× 161 0.6× 318 1.4× 8 1.1k
Yang-Shia Dai 65 0.1× 127 0.3× 240 0.5× 71 0.3× 207 0.9× 19 809
Diana S. Piccoli 111 0.2× 172 0.3× 558 1.2× 254 0.9× 17 0.1× 9 1.2k
María Pilar Berges‐Gimeno 782 1.6× 191 0.4× 85 0.2× 152 0.6× 122 0.5× 18 1.1k

Countries citing papers authored by Harry S. Earl

Since Specialization
Citations

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

Fields of papers citing papers by Harry S. Earl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harry S. Earl. 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 Harry S. Earl. The network helps show where Harry S. Earl may publish in the future.

Co-authorship network of co-authors of Harry S. Earl

This figure shows the co-authorship network connecting the top 25 collaborators of Harry S. Earl. A scholar is included among the top collaborators of Harry S. Earl 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 Harry S. Earl. Harry S. Earl 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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