Susan Armknecht

10 total papers · 1.1k total citations
9 papers, 935 citations indexed

About

Susan Armknecht is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Pollution. According to data from OpenAlex, Susan Armknecht has authored 9 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Pollution. Recurrent topics in Susan Armknecht's work include Glutathione Transferases and Polymorphisms (2 papers), RNA Research and Splicing (2 papers) and Chromium effects and bioremediation (2 papers). Susan Armknecht is often cited by papers focused on Glutathione Transferases and Polymorphisms (2 papers), RNA Research and Splicing (2 papers) and Chromium effects and bioremediation (2 papers). Susan Armknecht collaborates with scholars based in United States, United Kingdom and Germany. Susan Armknecht's co-authors include Amy A. Kiger, Michael Boutros, Kim M. Kerr, Stefan A. Haas, Marc Hild, Renato Paro, Britta Koch, Norbert Perrimon, Sean P. J. Whelan and Peter Sarnow and has published in prestigious journals such as Science, Genes & Development and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Susan Armknecht

9 papers receiving 911 citations

Hit Papers

Genome-Wide RNAi Analysis... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Susan Armknecht 663 138 118 86 80 9 935
Kristina Lind 749 1.1× 93 0.7× 110 0.9× 127 1.5× 29 0.4× 10 1.2k
Linda Strömbom 700 1.1× 91 0.7× 105 0.9× 123 1.4× 23 0.3× 7 1.2k
Annabeth Fieck 762 1.1× 59 0.4× 130 1.1× 232 2.7× 46 0.6× 17 1.2k
Rosaleen A. Calvert 535 0.8× 237 1.7× 144 1.2× 82 1.0× 22 0.3× 18 1.2k
Ellen Homola 313 0.5× 93 0.7× 65 0.6× 83 1.0× 59 0.7× 19 821
Joshua V. Troll 258 0.4× 367 2.7× 29 0.2× 143 1.7× 44 0.6× 9 1.0k
Tien‐sheng Huang 337 0.5× 281 2.0× 52 0.4× 58 0.7× 33 0.4× 20 1.1k
Manuel F. Garavito 470 0.7× 75 0.5× 88 0.7× 59 0.7× 14 0.2× 9 905
John Paul 410 0.6× 59 0.4× 53 0.4× 109 1.3× 19 0.2× 7 902
Hongshan Jiang 641 1.0× 110 0.8× 262 2.2× 186 2.2× 14 0.2× 16 1.2k

Countries citing papers authored by Susan Armknecht

Since Specialization
Citations

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

Fields of papers citing papers by Susan Armknecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Armknecht. 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 Susan Armknecht. The network helps show where Susan Armknecht may publish in the future.

Co-authorship network of co-authors of Susan Armknecht

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Armknecht. A scholar is included among the top collaborators of Susan Armknecht 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 Susan Armknecht. Susan Armknecht 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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