Wendy Marder

70 total papers · 3.3k total citations
51 papers, 1.6k citations indexed

About

Wendy Marder is a scholar working on Rheumatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Wendy Marder has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Rheumatology, 14 papers in Immunology and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Wendy Marder's work include Systemic Lupus Erythematosus Research (27 papers), Rheumatoid Arthritis Research and Therapies (12 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers). Wendy Marder is often cited by papers focused on Systemic Lupus Erythematosus Research (27 papers), Rheumatoid Arthritis Research and Therapies (12 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (9 papers). Wendy Marder collaborates with scholars based in United States, United Kingdom and Philippines. Wendy Marder's co-authors include Emily C. Somers, W. Joseph McCune, V. Ognenovski, Caroline Gordon, Gregory M. Christman, Charles G. Helmick, Mariana J. Kaplan, Jeffrey J. Wing, Lu Wang and J. Patricia Dhar and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and American Journal of Public Health.

In The Last Decade

Wendy Marder

48 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Wendy Marder 903 537 246 239 151 51 1.6k
S Accardo 776 0.9× 419 0.8× 335 1.4× 94 0.4× 196 1.3× 45 1.8k
Hedi Orbach 657 0.7× 484 0.9× 519 2.1× 102 0.4× 150 1.0× 37 2.0k
Pentti A. Järvinen 771 0.9× 491 0.9× 77 0.3× 242 1.0× 118 0.8× 77 1.7k
Jorge Iván Gámez-Nava 912 1.0× 388 0.7× 231 0.9× 134 0.6× 255 1.7× 105 1.8k
Özlem Baysal 425 0.5× 155 0.3× 98 0.4× 237 1.0× 111 0.7× 44 1.3k
Marina Κita 598 0.7× 229 0.4× 202 0.8× 59 0.2× 307 2.0× 78 2.2k
Laura González-López 923 1.0× 410 0.8× 233 0.9× 114 0.5× 281 1.9× 119 1.8k
Bo Ding 809 0.9× 419 0.8× 104 0.4× 107 0.4× 276 1.8× 76 2.0k
João Carlos Tavares Brenol 822 0.9× 467 0.9× 250 1.0× 57 0.2× 125 0.8× 64 1.4k
Mario Motta 797 0.9× 418 0.8× 72 0.3× 417 1.7× 133 0.9× 103 2.0k

Countries citing papers authored by Wendy Marder

Since Specialization
Citations

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

Fields of papers citing papers by Wendy Marder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wendy Marder

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