Armando G. Poeppl

35 total papers · 2.8k total citations
10 papers, 1.9k citations indexed

About

Armando G. Poeppl is a scholar working on Molecular Biology, Epidemiology and Hematology. According to data from OpenAlex, Armando G. Poeppl has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Hematology. Recurrent topics in Armando G. Poeppl's work include Virus-based gene therapy research (3 papers), Lysosomal Storage Disorders Research (3 papers) and Cancer Cells and Metastasis (2 papers). Armando G. Poeppl is often cited by papers focused on Virus-based gene therapy research (3 papers), Lysosomal Storage Disorders Research (3 papers) and Cancer Cells and Metastasis (2 papers). Armando G. Poeppl collaborates with scholars based in Canada, United States and Croatia. Armando G. Poeppl's co-authors include John E. Dick, Igor Jurišica, Sergei Doulatov, Faiyaz Notta, Elisa Laurenti, Mark D. Minden, Jayne S. Danska, Jean Wang, Björn Nilsson and Peter van Galen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Armando G. Poeppl

10 papers receiving 1.9k citations

Hit Papers

Stem cell gene expression... 2011 2026 2016 2021 2011 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Armando G. Poeppl 949 918 533 474 382 10 1.9k
Barry Grimes 1.5k 1.6× 1.1k 1.2× 755 1.4× 538 1.1× 309 0.8× 17 2.5k
Gabriela Oser 1.1k 1.2× 1.2k 1.3× 458 0.9× 761 1.6× 196 0.5× 9 2.3k
Wolf-Karsten Hofmann 1.0k 1.1× 636 0.7× 373 0.7× 493 1.0× 186 0.5× 11 1.7k
Dana E. Cullen 1.5k 1.6× 751 0.8× 329 0.6× 320 0.7× 251 0.7× 15 2.2k
Maike Jaworski 1.1k 1.2× 1.1k 1.2× 496 0.9× 929 2.0× 423 1.1× 18 2.6k
Kolja Eppert 1.8k 1.9× 981 1.1× 842 1.6× 601 1.3× 490 1.3× 27 3.1k
A G Leary 905 1.0× 498 0.5× 817 1.5× 500 1.1× 239 0.6× 14 2.1k
Silvia Grisendi 1.7k 1.8× 597 0.7× 359 0.7× 162 0.3× 295 0.8× 12 2.1k
MJ Fackler 1.1k 1.1× 1.3k 1.4× 514 1.0× 852 1.8× 179 0.5× 10 2.9k
C Carow 1.1k 1.1× 412 0.4× 943 1.8× 337 0.7× 158 0.4× 9 1.9k

Countries citing papers authored by Armando G. Poeppl

Since Specialization
Citations

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

Fields of papers citing papers by Armando G. Poeppl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Armando G. Poeppl. 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 Armando G. Poeppl. The network helps show where Armando G. Poeppl may publish in the future.

Co-authorship network of co-authors of Armando G. Poeppl

This figure shows the co-authorship network connecting the top 25 collaborators of Armando G. Poeppl. A scholar is included among the top collaborators of Armando G. Poeppl 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 Armando G. Poeppl. Armando G. Poeppl 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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