M N Marra

18 total papers · 1.1k total citations
17 papers, 871 citations indexed

About

M N Marra is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, M N Marra has authored 17 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Molecular Biology and 5 papers in Microbiology. Recurrent topics in M N Marra's work include Immune Response and Inflammation (16 papers), S100 Proteins and Annexins (8 papers) and Antimicrobial Peptides and Activities (5 papers). M N Marra is often cited by papers focused on Immune Response and Inflammation (16 papers), S100 Proteins and Annexins (8 papers) and Antimicrobial Peptides and Activities (5 papers). M N Marra collaborates with scholars based in United States, Germany and Japan. M N Marra's co-authors include Randy W. Scott, J L Snable, C G Wilde, Michael Collins, Steven M. Opal, Charles J. Fisher, Gaby J.M. Francot, Mieke A. Dentener, Wim A. Buurman and John E. Palardy and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

M N Marra

17 papers receiving 812 citations

Author Peers

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

Author Last Decade Papers Cites
M N Marra 597 235 228 213 107 17 871
Gun Britt Joø 461 0.8× 365 1.6× 196 0.9× 263 1.2× 107 1.0× 23 1.0k
Nicolas A. Parejo 474 0.8× 390 1.7× 216 0.9× 87 0.4× 103 1.0× 22 1.0k
J L Snable 491 0.8× 142 0.6× 298 1.3× 346 1.6× 90 0.8× 9 807
C G Wilde 493 0.8× 143 0.6× 308 1.4× 339 1.6× 84 0.8× 9 821
William Lynn 438 0.7× 245 1.0× 145 0.6× 81 0.4× 76 0.7× 43 982
Desheng Zhang 619 1.0× 207 0.9× 252 1.1× 291 1.4× 65 0.6× 30 997
S M Opal 293 0.5× 333 1.4× 186 0.8× 64 0.3× 65 0.6× 11 911
Ebbe Billmann Thorgersen 453 0.8× 248 1.1× 130 0.6× 72 0.3× 74 0.7× 39 1.0k
D. Shane O’Mahony 509 0.9× 219 0.9× 153 0.7× 117 0.5× 215 2.0× 13 950
Mary Ruth Smith 266 0.4× 139 0.6× 96 0.4× 80 0.4× 138 1.3× 33 887

Countries citing papers authored by M N Marra

Since Specialization
Citations

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

Fields of papers citing papers by M N Marra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M N Marra

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