Maya N. Merrell

8 total papers · 757 total citations
5 papers, 593 citations indexed

About

Maya N. Merrell is a scholar working on Immunology, Oncology and Rheumatology. According to data from OpenAlex, Maya N. Merrell has authored 5 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Maya N. Merrell's work include Atherosclerosis and Cardiovascular Diseases (3 papers), Chemokine receptors and signaling (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Maya N. Merrell is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Chemokine receptors and signaling (3 papers) and Systemic Lupus Erythematosus Research (2 papers). Maya N. Merrell collaborates with scholars based in United States and Malaysia. Maya N. Merrell's co-authors include David H. McDermott, Philip M. Murphy, Arshed A. Quyyumi, William H. Schenke, Neal Epstein, Myron A. Waclawiw, Julian Halcox, Alan M. Fong, L. Adrienne Cupples and Peter W.F. Wilson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Gastroenterology.

In The Last Decade

Maya N. Merrell

5 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Maya N. Merrell 389 372 103 78 76 5 593
Ravi Rao 359 0.9× 166 0.4× 63 0.6× 92 1.2× 9 0.1× 7 549
J Seifert 270 0.7× 183 0.5× 45 0.4× 102 1.3× 24 0.3× 6 690
Sebastian Dietrich 251 0.6× 292 0.8× 41 0.4× 114 1.5× 14 0.2× 8 671
Elizabeth Rigney 206 0.5× 92 0.2× 59 0.6× 69 0.9× 12 0.2× 9 631
Birgit K. Kramp 322 0.8× 214 0.6× 66 0.6× 87 1.1× 8 0.1× 7 567
James L. Sung 391 1.0× 331 0.9× 55 0.5× 17 0.2× 44 0.6× 5 671
Thierry Velu 357 0.9× 185 0.5× 83 0.8× 32 0.4× 12 0.2× 9 684
N. Shamsadeen 411 1.1× 99 0.3× 92 0.9× 48 0.6× 12 0.2× 8 648
Carly E. Gregor 417 1.1× 205 0.6× 52 0.5× 15 0.2× 9 0.1× 8 627
Elizabeth Day 195 0.5× 135 0.4× 181 1.8× 83 1.1× 11 0.1× 8 601

Countries citing papers authored by Maya N. Merrell

Since Specialization
Citations

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

Fields of papers citing papers by Maya N. Merrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya N. Merrell. 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 Maya N. Merrell. The network helps show where Maya N. Merrell may publish in the future.

Co-authorship network of co-authors of Maya N. Merrell

This figure shows the co-authorship network connecting the top 25 collaborators of Maya N. Merrell. A scholar is included among the top collaborators of Maya N. Merrell 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 Maya N. Merrell. Maya N. Merrell 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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2026