Suzanne J. Tintle

22 total papers · 1.1k total citations
19 papers, 814 citations indexed

About

Suzanne J. Tintle is a scholar working on Rheumatology, Dermatology and Oncology. According to data from OpenAlex, Suzanne J. Tintle has authored 19 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 6 papers in Dermatology and 5 papers in Oncology. Recurrent topics in Suzanne J. Tintle's work include Dermatology and Skin Diseases (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Allergic Rhinitis and Sensitization (3 papers). Suzanne J. Tintle is often cited by papers focused on Dermatology and Skin Diseases (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers) and Allergic Rhinitis and Sensitization (3 papers). Suzanne J. Tintle collaborates with scholars based in United States, Italy and Israel. Suzanne J. Tintle's co-authors include Avner Shemer, Emma Guttman‐Yassky, James G. Krueger, Irma Cardinale, Mayte Suárez‐Fariñas, A. Bowcock, Shenghui Duan, Andrea Chiricozzi, Kristine Nograles and Leanne M. Johnson-Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Journal of the American Academy of Dermatology.

In The Last Decade

Suzanne J. Tintle

18 papers receiving 804 citations

Author Peers

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

Author Last Decade Papers Cites
Suzanne J. Tintle 590 381 247 216 131 19 814
Faiz Ahmad 449 0.8× 233 0.6× 218 0.9× 238 1.1× 175 1.3× 25 935
M. Grewe 543 0.9× 407 1.1× 304 1.2× 241 1.1× 56 0.4× 13 935
Ilse C. Bihari 532 0.9× 378 1.0× 258 1.0× 218 1.0× 91 0.7× 13 723
Ira D. Lawrence 411 0.7× 375 1.0× 261 1.1× 184 0.9× 141 1.1× 19 879
Yuka Shimada 315 0.5× 228 0.6× 334 1.4× 160 0.7× 142 1.1× 18 793
Sari Lehtimäki 473 0.8× 255 0.7× 401 1.6× 216 1.0× 62 0.5× 17 833
Luca Massimo Chinni 466 0.8× 149 0.4× 268 1.1× 96 0.4× 64 0.5× 14 754
Lalit Kumar 476 0.8× 368 1.0× 442 1.8× 254 1.2× 102 0.8× 19 976
Vincent van Drongelen 523 0.9× 267 0.7× 162 0.7× 113 0.5× 117 0.9× 18 831
Andreas Ruether 407 0.7× 280 0.7× 275 1.1× 206 1.0× 63 0.5× 13 742

Countries citing papers authored by Suzanne J. Tintle

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne J. Tintle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne J. Tintle. 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 Suzanne J. Tintle. The network helps show where Suzanne J. Tintle may publish in the future.

Co-authorship network of co-authors of Suzanne J. Tintle

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