Melody Shaw

23 total papers · 967 total citations
21 papers, 758 citations indexed

About

Melody Shaw is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Melody Shaw has authored 21 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Rheumatology, 12 papers in Immunology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Melody Shaw's work include Systemic Lupus Erythematosus Research (11 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Melody Shaw is often cited by papers focused on Systemic Lupus Erythematosus Research (11 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Melody Shaw collaborates with scholars based in United States, Netherlands and Japan. Melody Shaw's co-authors include Westley H. Reeves, Minoru Satoh, Hanno B. Richards, John B. Winfield, Claude Libert, Valeria Poli, Robert A. Eisenberg, David Koffler, Heather A Wilson and Lawrence M. Silverman and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Melody Shaw

19 papers receiving 722 citations

Author Peers

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

Author Last Decade Papers Cites
Melody Shaw 439 383 161 147 126 21 758
Luis Enrique Montiel Llorente 473 1.1× 375 1.0× 140 0.9× 133 0.9× 126 1.0× 29 834
Noam Jacob 560 1.3× 404 1.1× 202 1.3× 143 1.0× 92 0.7× 24 822
Vilija Oke 471 1.1× 464 1.2× 108 0.7× 126 0.9× 96 0.8× 24 736
Nina Daha 246 0.6× 377 1.0× 112 0.7× 137 0.9× 88 0.7× 22 692
William A. Figgett 442 1.0× 181 0.5× 100 0.6× 133 0.9× 81 0.6× 18 760
A.H.L. Fielder 601 1.4× 393 1.0× 184 1.1× 125 0.9× 46 0.4× 23 894
Maida Wong 408 0.9× 243 0.6× 67 0.4× 111 0.8× 129 1.0× 12 738
Gerrie Stoeken‐Rijsbergen 339 0.8× 595 1.6× 315 2.0× 117 0.8× 97 0.8× 20 899
Vishala Chindalore 418 1.0× 481 1.3× 232 1.4× 167 1.1× 159 1.3× 17 831
JT Merrill 397 0.9× 525 1.4× 196 1.2× 53 0.4× 65 0.5× 27 700

Countries citing papers authored by Melody Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Melody Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melody Shaw

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