Rafael J. Martinez

19 total papers · 903 total citations
19 papers, 777 citations indexed

About

Rafael J. Martinez is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Rafael J. Martinez has authored 19 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Endocrinology. Recurrent topics in Rafael J. Martinez's work include Vibrio bacteria research studies (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Rafael J. Martinez is often cited by papers focused on Vibrio bacteria research studies (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Rafael J. Martinez collaborates with scholars based in United States and Japan. Rafael J. Martinez's co-authors include Daniel A. Portnoy, Michael E. Selsted, Stephen F. Carroll, B. A. D. Stocker, Shigeru Yamaguchi, Alexander N. Glazer, Robert Lange, Eugene Rosenberg, Sydney C. Rittenberg and Henry I. Nakada and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Rafael J. Martinez

18 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
Rafael J. Martinez 363 323 135 128 99 19 777
Avital Tidhar 442 1.2× 358 1.1× 99 0.7× 133 1.0× 67 0.7× 34 672
Johanna Haiko 234 0.6× 359 1.1× 62 0.5× 185 1.4× 110 1.1× 14 779
Fabio Pisano 389 1.1× 305 0.9× 80 0.6× 165 1.3× 75 0.8× 18 695
Roberto Rebeil 361 1.0× 445 1.4× 96 0.7× 114 0.9× 89 0.9× 11 842
Anne Derbise 421 1.2× 501 1.6× 68 0.5× 136 1.1× 173 1.7× 25 892
Olga V. Bystrova 321 0.9× 359 1.1× 80 0.6× 158 1.2× 102 1.0× 35 741
Roger D. Pechous 463 1.3× 478 1.5× 71 0.5× 83 0.6× 140 1.4× 23 824
Sheri M. Foltz 295 0.8× 278 0.9× 81 0.6× 327 2.6× 85 0.9× 13 682
M Rimpiläinen 436 1.2× 317 1.0× 106 0.8× 231 1.8× 18 0.2× 22 856
Aaron M. Nuss 327 0.9× 554 1.7× 48 0.4× 127 1.0× 222 2.2× 22 887

Countries citing papers authored by Rafael J. Martinez

Since Specialization
Citations

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

Fields of papers citing papers by Rafael J. Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael J. Martinez

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