Earl M. Ritzi

29 total papers · 497 total citations
24 papers, 421 citations indexed

About

Earl M. Ritzi is a scholar working on Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Earl M. Ritzi has authored 24 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Earl M. Ritzi's work include Virus-based gene therapy research (11 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immunotherapy and Immune Responses (6 papers). Earl M. Ritzi is often cited by papers focused on Virus-based gene therapy research (11 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Immunotherapy and Immune Responses (6 papers). Earl M. Ritzi collaborates with scholars based in United States. Earl M. Ritzi's co-authors include S. Spiegelman, William A. Stylos, Robert L. Stolfi, Arnold J. Levine, Daniel Martín, R. Nayak, Robert C. Sawyer, Alberto Baldi, R. C. Skarnes and Jack Rosenfeld and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and JNCI Journal of the National Cancer Institute.

In The Last Decade

Earl M. Ritzi

24 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Earl M. Ritzi 151 147 139 74 71 24 421
Iris B. Parr 152 1.0× 117 0.8× 160 1.2× 25 0.3× 142 2.0× 17 441
Han‐Mo Koo 159 1.1× 51 0.3× 128 0.9× 45 0.6× 26 0.4× 22 373
Jen Yeh 180 1.2× 57 0.4× 59 0.4× 36 0.5× 60 0.8× 18 454
Ding Zhang 273 1.8× 123 0.8× 37 0.3× 21 0.3× 52 0.7× 30 446
Mohammed A. Attia 182 1.2× 115 0.8× 79 0.6× 15 0.2× 132 1.9× 21 477
Luciana Maria Silva 141 0.9× 99 0.7× 41 0.3× 25 0.3× 56 0.8× 42 455
Esther Rodríguez 126 0.8× 136 0.9× 26 0.2× 54 0.7× 56 0.8× 27 404
Yongping Ma 257 1.7× 76 0.5× 53 0.4× 25 0.3× 54 0.8× 31 471
Genki Kimura 169 1.1× 160 1.1× 44 0.3× 31 0.4× 195 2.7× 34 473
Andrea Vitale 123 0.8× 103 0.7× 125 0.9× 13 0.2× 52 0.7× 26 398

Countries citing papers authored by Earl M. Ritzi

Since Specialization
Citations

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

Fields of papers citing papers by Earl M. Ritzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Earl M. Ritzi

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