M. Leonardo Satz

32 total papers · 1.1k total citations
27 papers, 912 citations indexed

About

M. Leonardo Satz is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, M. Leonardo Satz has authored 27 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in M. Leonardo Satz's work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (7 papers). M. Leonardo Satz is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (7 papers). M. Leonardo Satz collaborates with scholars based in Argentina, United States and Brazil. M. Leonardo Satz's co-authors include Birthe Høgh, Arne Svejgaard, Hans O. Madsen, Peter Garred, Dinah S. Singer, Leonardo Fainboim, Stuart Rudikoff, Lilien Chertkoff, Mariana Herrera Piñero and Natalia A. Riobo‐Del Galdo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

M. Leonardo Satz

27 papers receiving 869 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. Leonardo Satz 590 176 141 94 93 27 912
M. Manuela Rosado 612 1.0× 150 0.9× 85 0.6× 143 1.5× 35 0.4× 14 875
K Deusch 637 1.1× 163 0.9× 145 1.0× 85 0.9× 20 0.2× 28 910
J P Lamelin 375 0.6× 310 1.8× 208 1.5× 54 0.6× 230 2.5× 42 1.0k
Tsuyoshi Tange 366 0.6× 118 0.7× 415 2.9× 134 1.4× 43 0.5× 26 1.2k
S. Scholz 367 0.6× 277 1.6× 99 0.7× 94 1.0× 320 3.4× 52 843
E L Khoury 222 0.4× 246 1.4× 203 1.4× 167 1.8× 41 0.4× 23 866
H. Inoko 661 1.1× 96 0.5× 198 1.4× 278 3.0× 47 0.5× 29 1.1k
A W Boylston 166 0.3× 334 1.9× 194 1.4× 111 1.2× 40 0.4× 28 927
Hanna Gregorek 319 0.5× 192 1.1× 442 3.1× 163 1.7× 35 0.4× 43 1.0k
César Boggiano 737 1.2× 144 0.8× 200 1.4× 66 0.7× 87 0.9× 24 1.1k

Countries citing papers authored by M. Leonardo Satz

Since Specialization
Citations

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

Fields of papers citing papers by M. Leonardo Satz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Leonardo Satz

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