Lisa Fish

2.8k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

Lisa Fish is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Lisa Fish has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Lisa Fish's work include RNA modifications and cancer (18 papers), RNA Research and Splicing (16 papers) and Cancer-related molecular mechanisms research (9 papers). Lisa Fish is often cited by papers focused on RNA modifications and cancer (18 papers), RNA Research and Splicing (16 papers) and Cancer-related molecular mechanisms research (9 papers). Lisa Fish collaborates with scholars based in United States, Canada and United Kingdom. Lisa Fish's co-authors include Hani Goodarzi, Steven Zhang, Sohail F. Tavazoie, Hoang C.B. Nguyen, Xuhang Liu, Hamed S. Najafabadi, Saeed Tavazoie, Rached Alkallas, Todd M. Greco and Bruce Culbertson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lisa Fish

21 papers receiving 1.3k citations

Hit Papers

Endogenous tRNA-Derived Fragments Suppress Breast Cancer ... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Fish United States 13 1.2k 616 54 52 43 24 1.3k
Marcel Köhn Germany 12 1.2k 0.9× 675 1.1× 91 1.7× 61 1.2× 40 0.9× 20 1.3k
Keiko Tano Japan 10 1.2k 1.0× 878 1.4× 46 0.9× 48 0.9× 36 0.8× 12 1.3k
Katherine E. Bohnsack Germany 20 1.8k 1.4× 609 1.0× 118 2.2× 49 0.9× 39 0.9× 43 1.9k
Nadine Bley Germany 16 1.2k 1.0× 791 1.3× 97 1.8× 58 1.1× 41 1.0× 20 1.4k
Xujia Wu China 13 985 0.8× 710 1.2× 83 1.5× 94 1.8× 47 1.1× 20 1.2k
Markus Glaß Germany 16 1.0k 0.8× 607 1.0× 107 2.0× 65 1.3× 41 1.0× 32 1.2k
Lingjie Li China 8 1.5k 1.2× 817 1.3× 86 1.6× 60 1.2× 15 0.3× 17 1.6k
Yamei Niu China 15 1.3k 1.0× 564 0.9× 121 2.2× 79 1.5× 31 0.7× 34 1.4k
Yufeng Liu China 16 483 0.4× 388 0.6× 55 1.0× 54 1.0× 40 0.9× 37 673
Arthur Chow United States 5 1.2k 1.0× 523 0.8× 113 2.1× 58 1.1× 20 0.5× 11 1.3k

Countries citing papers authored by Lisa Fish

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Fish

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

All Works

20 of 20 papers shown
1.
Ge, Alex Y., Albertas Navickas, Lisa Fish, et al.. (2024). A multiomics approach reveals RNA dynamics promote cellular sensitivity to DNA hypomethylation. Scientific Reports. 14(1). 25940–25940.
2.
Zirak, Bahar, Mohsen Naghipourfar, Alihossein Saberi, et al.. (2024). Revealing the grammar of small RNA secretion using interpretable machine learning. Cell Genomics. 4(4). 100522–100522. 2 indexed citations
3.
Khoroshkin, Matvei, Daniel Asarnow, Albertas Navickas, et al.. (2024). A systematic search for RNA structural switches across the human transcriptome. Nature Methods. 21(9). 1634–1645. 6 indexed citations
4.
Cavazos, Taylor B., Mehran Karimzadeh, Jeffrey Wang, et al.. (2024). Abstract PO2-13-08: Cell-free orphan noncoding RNAs and AI enable early detection of invasive breast cancer and ductal carcinoma in-situ. Cancer Research. 84(9_Supplement). PO2–13. 1 indexed citations
5.
Weinstein, H, Kevin Hu, Lisa Fish, et al.. (2024). RPL22 is a tumor suppressor in MSI-high cancers and a splicing regulator of MDM4. Cell Reports. 43(8). 114622–114622. 8 indexed citations
6.
Navickas, Albertas, Hosseinali Asgharian, Juliane Winkler, et al.. (2023). An mRNA processing pathway suppresses metastasis by governing translational control from the nucleus. Nature Cell Biology. 25(6). 892–903. 20 indexed citations
7.
Culbertson, Bruce, Hosseinali Asgharian, Li Chen, et al.. (2023). A sense-antisense RNA interaction promotes breast cancer metastasis via regulation of NQO1 expression. Nature Cancer. 4(5). 682–698. 19 indexed citations
8.
Karimzadeh, Mehran, Jeffrey Wang, Alice Huang, et al.. (2023). Abstract 5711: Blood-based early detection of non-small cell lung cancer using orphan noncoding RNAs. Cancer Research. 83(7_Supplement). 5711–5711. 1 indexed citations
10.
Fish, Lisa, Matvei Khoroshkin, Albertas Navickas, et al.. (2021). A prometastatic splicing program regulated by SNRPA1 interactions with structured RNA elements. Science. 372(6543). 52 indexed citations
11.
Yu, Johnny, Albertas Navickas, Hosseinali Asgharian, et al.. (2020). RBMS1 Suppresses Colon Cancer Metastasis through Targeted Stabilization of Its mRNA Regulon. Cancer Discovery. 10(9). 1410–1423. 38 indexed citations
12.
Huh, Doowon, Maria C. Passarelli, Lisa Fish, et al.. (2020). A stress‐induced tyrosine‐tRNA depletion response mediates codon‐based translational repression and growth suppression. The EMBO Journal. 40(2). e106696–e106696. 30 indexed citations
13.
Fish, Lisa, Albertas Navickas, Bruce Culbertson, et al.. (2019). Nuclear TARBP2 Drives Oncogenic Dysregulation of RNA Splicing and Decay. Molecular Cell. 75(5). 967–981.e9. 60 indexed citations
14.
Fish, Lisa, Steven Zhang, Johnny Yu, et al.. (2018). Cancer cells exploit an orphan RNA to drive metastatic progression. Nature Medicine. 24(11). 1743–1751. 28 indexed citations
15.
Alkallas, Rached, Lisa Fish, Hani Goodarzi, & Hamed S. Najafabadi. (2017). Inference of RNA decay rate from transcriptional profiling highlights the regulatory programs of Alzheimer’s disease. Nature Communications. 8(1). 909–909. 75 indexed citations
16.
Fish, Lisa, Nora Pencheva, Hani Goodarzi, et al.. (2016). Muscleblind-like 1 suppresses breast cancer metastatic colonization and stabilizes metastasis suppressor transcripts. Genes & Development. 30(4). 386–398. 49 indexed citations
17.
Goodarzi, Hani, Xuhang Liu, Hoang C.B. Nguyen, et al.. (2015). Endogenous tRNA-Derived Fragments Suppress Breast Cancer Progression via YBX1 Displacement. Cell. 161(4). 790–802. 656 indexed citations breakdown →
18.
Goodarzi, Hani, Steven Zhang, Colin G. Buss, et al.. (2014). Metastasis-suppressor transcript destabilization through TARBP2 binding of mRNA hairpins. Nature. 513(7517). 256–260. 73 indexed citations
19.
Goodarzi, Hani, Hamed S. Najafabadi, Panos Oikonomou, et al.. (2012). Systematic discovery of structural elements governing stability of mammalian messenger RNAs. Nature. 485(7397). 264–268. 134 indexed citations
20.
Warfield, Linda, Lisa Fish, James Fishburn, et al.. (2010). Mechanism of Mediator Recruitment by Tandem Gcn4 Activation Domains and Three Gal11 Activator-Binding Domains. Molecular and Cellular Biology. 30(10). 2376–2390. 70 indexed citations

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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