Anna McGeachy

2.2k total citations · 2 hit papers
8 papers, 1.5k citations indexed

About

Anna McGeachy is a scholar working on Molecular Biology, Food Science and Surgery. According to data from OpenAlex, Anna McGeachy has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Food Science and 1 paper in Surgery. Recurrent topics in Anna McGeachy's work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers) and Probiotics and Fermented Foods (2 papers). Anna McGeachy is often cited by papers focused on RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers) and Probiotics and Fermented Foods (2 papers). Anna McGeachy collaborates with scholars based in United States. Anna McGeachy's co-authors include Nicholas T. Ingolia, Jonathan S. Weissman, Silvi Rouskin, Gloria A. Brar, Peter Walter, Carmela Sidrauski, Rajesh Gottimukkala, Na Li, Fiona Hyland and Shrutii Sarda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Nature Protocols.

In The Last Decade

Anna McGeachy

8 papers receiving 1.5k citations

Hit Papers

The ribosome profiling strategy for monitoring translatio... 2012 2026 2016 2021 2012 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna McGeachy United States 5 1.3k 231 135 113 100 8 1.5k
Joppe Nieuwenhuis Netherlands 12 962 0.8× 333 1.4× 123 0.9× 193 1.7× 117 1.2× 13 1.4k
Batool Ossareh‐Nazari France 17 1.4k 1.1× 245 1.1× 134 1.0× 204 1.8× 102 1.0× 22 1.6k
Sarah Tisdale United States 13 1.8k 1.4× 176 0.8× 234 1.7× 72 0.6× 129 1.3× 18 2.0k
Benoı̂t Roger France 12 875 0.7× 155 0.7× 87 0.6× 84 0.7× 101 1.0× 19 1.2k
Tyler Matheny United States 12 1.8k 1.4× 193 0.8× 125 0.9× 43 0.4× 116 1.2× 12 1.9k
Lucas C. Reineke United States 19 1.1k 0.9× 186 0.8× 71 0.5× 78 0.7× 167 1.7× 23 1.4k
Yamila N. Torres Cleuren Norway 9 1.0k 0.8× 108 0.5× 85 0.6× 70 0.6× 98 1.0× 15 1.3k
Luı́sa Romão Portugal 24 1.4k 1.1× 92 0.4× 143 1.1× 73 0.6× 57 0.6× 56 1.9k
Soyeong Sim United States 18 817 0.7× 123 0.5× 141 1.0× 63 0.6× 184 1.8× 32 1.1k
Tram Anh T. Tran United States 12 713 0.6× 115 0.5× 135 1.0× 220 1.9× 56 0.6× 17 1.0k

Countries citing papers authored by Anna McGeachy

Since Specialization
Citations

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

Fields of papers citing papers by Anna McGeachy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna McGeachy

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

All Works

8 of 8 papers shown
1.
McGeachy, Anna, et al.. (2023). Surveying the global landscape of post-transcriptional regulators. Nature Structural & Molecular Biology. 30(6). 740–752. 9 indexed citations
2.
Sarda, Shrutii, David Merrill, Heesun Shin, et al.. (2020). Abstract 3347: Characterization of gut microbiota and identification of key bacterial species associated with immune response using a new Ion Torrent next-generation sequencing assay. Cancer Research. 80(16_Supplement). 3347–3347. 1 indexed citations
3.
Singh, Ratnesh, et al.. (2020). Abstract 1207: Custom next-generation sequencing primer designs for targeted sequencing of multi strain viral targets. Cancer Research. 80(16_Supplement). 1207–1207. 1 indexed citations
4.
Sarda, Shrutii, David Merrill, Heesun Shin, et al.. (2020). 680 Automated Ion torrent based solution enables accurate gut microbiome quantification of bacterial species relevant to research in cancer and its response to immunotherapy. SHILAP Revista de lepidopterología. A408.2–A409. 1 indexed citations
5.
McGeachy, Anna, et al.. (2019). An Accessible Continuous-Culture Turbidostat for Pooled Analysis of Complex Libraries. ACS Synthetic Biology. 8(4). 844–856. 24 indexed citations
6.
Sidrauski, Carmela, Anna McGeachy, Nicholas T. Ingolia, & Peter Walter. (2015). The small molecule ISRIB reverses the effects of eIF2α phosphorylation on translation and stress granule assembly. eLife. 4. 456 indexed citations breakdown →
7.
Ingolia, Nicholas T., Gloria A. Brar, Silvi Rouskin, Anna McGeachy, & Jonathan S. Weissman. (2013). Genome‐Wide Annotation and Quantitation of Translation by Ribosome Profiling. Current Protocols in Molecular Biology. 103(1). 4.18.1–4.18.19. 50 indexed citations
8.
Ingolia, Nicholas T., Gloria A. Brar, Silvi Rouskin, Anna McGeachy, & Jonathan S. Weissman. (2012). The ribosome profiling strategy for monitoring translation in vivo by deep sequencing of ribosome-protected mRNA fragments. Nature Protocols. 7(8). 1534–1550. 919 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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