Amir Karger

2.3k total citations · 1 hit paper
9 papers, 963 citations indexed

About

Amir Karger is a scholar working on Molecular Biology, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Amir Karger has authored 9 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Nature and Landscape Conservation and 1 paper in Ecology. Recurrent topics in Amir Karger's work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and RNA Research and Splicing (2 papers). Amir Karger is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and RNA Research and Splicing (2 papers). Amir Karger collaborates with scholars based in United States, Germany and United Kingdom. Amir Karger's co-authors include Andrew J. Mitchell, Bogdan Budnik, Joshua Z. Levin, Jiao Ma, Moran N. Cabili, Adam G. Schwaid, Alan Saghatelian, Sarah A. Slavoff, John L. Rinn and Semin Lee and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Amir Karger

9 papers receiving 950 citations

Hit Papers

Peptidomic discovery of short open reading frame–encoded ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amir Karger United States 6 819 317 132 103 44 9 963
Lorenzo Calviello Germany 12 1.1k 1.4× 262 0.8× 80 0.6× 94 0.9× 40 0.9× 17 1.2k
Isabel X. Wang United States 11 1.1k 1.3× 165 0.5× 130 1.0× 70 0.7× 58 1.3× 12 1.2k
Alexey A. Soshnev United States 14 1.1k 1.3× 139 0.4× 95 0.7× 135 1.3× 81 1.8× 22 1.2k
Masaaki Furuno Japan 16 1.2k 1.4× 631 2.0× 114 0.9× 56 0.5× 55 1.3× 27 1.3k
Mariano Alló Argentina 12 1.8k 2.2× 299 0.9× 131 1.0× 186 1.8× 73 1.7× 17 2.0k
Yesheng Tang Germany 6 1.2k 1.5× 180 0.6× 101 0.8× 135 1.3× 86 2.0× 6 1.5k
Ian Bell Canada 9 1.2k 1.4× 474 1.5× 135 1.0× 133 1.3× 38 0.9× 12 1.3k
Thomas Conrad Germany 17 1.1k 1.3× 260 0.8× 185 1.4× 147 1.4× 102 2.3× 33 1.3k
Nicolas Simonis Belgium 14 952 1.2× 96 0.3× 203 1.5× 120 1.2× 38 0.9× 18 1.1k
Michael D. Hebert United States 24 1.6k 2.0× 134 0.4× 88 0.7× 68 0.7× 40 0.9× 57 1.8k

Countries citing papers authored by Amir Karger

Since Specialization
Citations

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

Fields of papers citing papers by Amir Karger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Karger

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Karger. A scholar is included among the top collaborators of Amir Karger 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 Amir Karger. Amir Karger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Dohmen, Elias, et al.. (2025). DeNoFo: a file format and toolkit for standardized, comparable de novo gene annotation. Bioinformatics. 41(10). 3 indexed citations
2.
Luria, Victor, et al.. (2025). De Novo Gene Emergence: Summary, Classification, and Challenges of Current Methods. Genome Biology and Evolution. 17(11). 3 indexed citations
3.
Ullrich, Kristian K, et al.. (2024). Expression of Random Sequences and de novo Evolved Genes From the Mouse in Human Cells Reveals Functional Diversity and Specificity. Genome Biology and Evolution. 16(12). 2 indexed citations
4.
Gudelj, Ivan, Gabriel Santpere, Mislav Novokmet, et al.. (2023). Human-specific features and developmental dynamics of the brain N-glycome. Science Advances. 9(49). eadg2615–eadg2615. 9 indexed citations
5.
Weber, Jessica A., Seung Gu Park, Victor Luria, et al.. (2020). The whale shark genome reveals how genomic and physiological properties scale with body size. Proceedings of the National Academy of Sciences. 117(34). 20662–20671. 28 indexed citations
6.
Vonica, Alin, Neha Bhat, Keith D. Phan, et al.. (2020). Apcdd1 is a dual BMP/Wnt inhibitor in the developing nervous system and skin. Developmental Biology. 464(1). 71–87. 15 indexed citations
7.
Lodato, Michael A., Mollie B. Woodworth, Semin Lee, et al.. (2015). Somatic mutation in single human neurons tracks developmental and transcriptional history. Science. 350(6256). 94–98. 359 indexed citations
8.
Puzey, Joshua R., Amir Karger, Michael J. Axtell, & Elena M. Kramer. (2012). Deep Annotation of Populus trichocarpa microRNAs from Diverse Tissue Sets. PLoS ONE. 7(3). e33034–e33034. 60 indexed citations
9.
Slavoff, Sarah A., Andrew J. Mitchell, Adam G. Schwaid, et al.. (2012). Peptidomic discovery of short open reading frame–encoded peptides in human cells. Nature Chemical Biology. 9(1). 59–64. 484 indexed citations breakdown →

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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