Anna Git

2.3k total citations · 1 hit paper
25 papers, 1.7k citations indexed

About

Anna Git is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Anna Git has authored 25 papers receiving a total of 1.7k 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 Infectious Diseases. Recurrent topics in Anna Git's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers) and MicroRNA in disease regulation (9 papers). Anna Git is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers) and MicroRNA in disease regulation (9 papers). Anna Git collaborates with scholars based in United Kingdom, Israel and Spain. Anna Git's co-authors include Carlos Caldas, Heidi Dvinge, Mali Salmon‐Divon, Michelle Osborne, Nancy Standart, Paul Bertone, Claudia Kutter, James Hadfield, Froma Oberman and Karina Yaniv and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Anna Git

25 papers receiving 1.7k citations

Hit Papers

Systematic comparison of microarray profiling, real-time ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Git United Kingdom 19 1.4k 865 112 101 84 25 1.7k
Yuriy Fedorov United States 11 1.5k 1.1× 596 0.7× 222 2.0× 141 1.4× 89 1.1× 22 1.8k
Anne Beugnet Italy 15 1.7k 1.2× 700 0.8× 126 1.1× 176 1.7× 92 1.1× 19 2.0k
Xiaoqiang Guo China 25 1.2k 0.8× 634 0.7× 103 0.9× 148 1.5× 84 1.0× 60 1.6k
Takeshi Haraguchi Japan 15 882 0.6× 501 0.6× 87 0.8× 191 1.9× 81 1.0× 31 1.3k
Kelin Ru Australia 10 1.4k 1.0× 1.1k 1.3× 149 1.3× 66 0.7× 41 0.5× 11 1.6k
Vamsi K. Gangaraju United States 13 1.2k 0.9× 664 0.8× 67 0.6× 58 0.6× 78 0.9× 18 1.5k
Run-Wen Yao China 7 2.3k 1.6× 1.6k 1.9× 73 0.7× 120 1.2× 59 0.7× 12 2.5k
Maja M. Janas United States 16 1.4k 1.0× 888 1.0× 41 0.4× 119 1.2× 65 0.8× 19 1.6k
Wenqian Hu United States 18 1.6k 1.1× 1.0k 1.2× 70 0.6× 196 1.9× 68 0.8× 49 2.0k
Katherine E. Sloan Germany 27 2.8k 2.0× 781 0.9× 114 1.0× 75 0.7× 199 2.4× 35 3.0k

Countries citing papers authored by Anna Git

Since Specialization
Citations

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

Fields of papers citing papers by Anna Git

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Git

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Git. A scholar is included among the top collaborators of Anna Git 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 Git. Anna Git 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.
Gornik, Sebastian G., Víctor Flores, Franziska Reinhardt, et al.. (2022). Mitochondrial Genomes in Perkinsus Decode Conserved Frameshifts in All Genes. Molecular Biology and Evolution. 39(10). 6 indexed citations
2.
Minshall, Nicola & Anna Git. (2020). Enzyme- and gene-specific biases in reverse transcription of RNA raise concerns for evaluating gene expression. Scientific Reports. 10(1). 8151–8151. 26 indexed citations
3.
Knolle, Martin, Batika M.J. Rana, Rinako Nakagawa, et al.. (2018). MicroRNA-155 Protects Group 2 Innate Lymphoid Cells From Apoptosis to Promote Type-2 Immunity. Frontiers in Immunology. 9. 2232–2232. 20 indexed citations
4.
Leivonen, Suvi‐Katri, Daniel Nebdal, Anna Git, et al.. (2018). miR-342-5p as a Potential Regulator of HER2 Breast Cancer Cell Growth. MicroRNA. 8(2). 155–165. 35 indexed citations
5.
Both, Ulrich von, Maurice Berk, Paul‐Michael Agapow, et al.. (2018). Mycobacterium tuberculosis Exploits a Molecular Off Switch of the Immune System for Intracellular Survival. Scientific Reports. 8(1). 661–661. 35 indexed citations
6.
Wilczynska, Ania, Anna Git, Joanna Argasinska, Eulàlia Belloc, & Nancy Standart. (2016). CPEB and miR-15/16 Co-Regulate Translation of Cyclin E1 mRNA during Xenopus Oocyte Maturation. PLoS ONE. 11(2). e0146792–e0146792. 12 indexed citations
7.
Git, Anna, et al.. (2015). Pathway‐based personalized analysis of breast cancer expression data. Molecular Oncology. 9(7). 1471–1483. 31 indexed citations
8.
Goldgraben, Mae A., Roslin Russell, Oscar M. Rueda, Carlos Caldas, & Anna Git. (2015). Double-stranded microRNA mimics can induce length- and passenger strand–dependent effects in a cell type–specific manner. RNA. 22(2). 193–203. 31 indexed citations
9.
Viré, Emmanuelle, Christina Curtis, Verónica Dávalos, et al.. (2014). The Breast Cancer Oncogene EMSY Represses Transcription of Antimetastatic microRNA miR-31. Molecular Cell. 53(5). 806–818. 48 indexed citations
10.
Dvinge, Heidi, Anna Git, Stefan Gräf, et al.. (2013). The shaping and functional consequences of the microRNA landscape in breast cancer. Nature. 497(7449). 378–382. 318 indexed citations
11.
Itō, Yoko, Joanna E. Huddleston, Anna Git, et al.. (2013). Imprinted Chromatin around DIRAS3 Regulates Alternative Splicing of GNG12-AS1, a Long Noncoding RNA. The American Journal of Human Genetics. 93(2). 224–235. 47 indexed citations
12.
Git, Anna. (2012). A recipe for disaster. Nature. 484(7395). 439–440. 5 indexed citations
13.
Git, Anna, Heidi Dvinge, Mali Salmon‐Divon, et al.. (2010). Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA. 16(5). 991–1006. 542 indexed citations breakdown →
14.
Git, Anna, Rachel Allison, Eusebio Perdiguero, et al.. (2009). Vg1RBP phosphorylation by Erk2 MAP kinase correlates with the cortical release of Vg1 mRNA during meiotic maturation of Xenopus oocytes. RNA. 15(6). 1121–1133. 19 indexed citations
15.
Git, Anna, Inmaculada Spiteri, Cherie Blenkiron, et al.. (2008). PMC42, a breast progenitor cancer cell line, has normal-like mRNA and microRNA transcriptomes. Breast Cancer Research. 10(3). R54–R54. 22 indexed citations
16.
Allison, Rachel, Kevin Czaplinski, Anna Git, et al.. (2004). Two distinct Staufen isoforms in Xenopus are vegetally localized during oogenesis. RNA. 10(11). 1751–1763. 50 indexed citations
17.
Git, Anna & Nancy Standart. (2002). The KH domains of Xenopus Vg1RBP mediate RNA binding and self-association. RNA. 8(10). 1319–1333. 52 indexed citations
18.
Hornstein, Eran, Anna Git, Ilana Braunstein, Dror Avni, & Oded Meyuhas. (1999). The Expression of Poly(A)-binding Protein Gene Is Translationally Regulated in a Growth-dependent Fashion through a 5′-Terminal Oligopyrimidine Tract Motif. Journal of Biological Chemistry. 274(3). 1708–1714. 62 indexed citations
19.
Yaniv, Karina, Froma Oberman, Uta Wolke, et al.. (1999). Vg1 RBP intracellular distribution and evolutionarily conserved expression at multiple stages during development. Mechanisms of Development. 88(1). 101–106. 52 indexed citations
20.
Git, Anna, Froma Oberman, Karina Yaniv, et al.. (1998). RNA-binding protein conserved in both microtubule- and microfilament-based RNA localization. Genes & Development. 12(11). 1593–1598. 186 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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