Marscha Hirschi

730 total citations
10 papers, 547 citations indexed

About

Marscha Hirschi is a scholar working on Molecular Biology, Physiology and Sensory Systems. According to data from OpenAlex, Marscha Hirschi has authored 10 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Sensory Systems. Recurrent topics in Marscha Hirschi's work include RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). Marscha Hirschi is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). Marscha Hirschi collaborates with scholars based in United States, Netherlands and Italy. Marscha Hirschi's co-authors include Seok‐Yong Lee, Gabriel C. Lander, William F. Borschel, Mark A. Herzik, Dennis S. France, Thomas Chan, Mark A. Ashwell, Sudharshan Eathiraj, Rocio Palma and Erika Volckova and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marscha Hirschi

10 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marscha Hirschi United States 8 354 119 68 61 61 10 547
Antonella Managò Italy 12 449 1.3× 41 0.3× 4 0.1× 126 2.1× 63 1.0× 13 697
R. J. Isaacs Canada 10 412 1.2× 21 0.2× 34 0.5× 95 1.6× 18 0.3× 15 564
Qin Tong China 14 274 0.8× 34 0.3× 6 0.1× 81 1.3× 9 0.1× 44 524
Karin Bartel Germany 14 290 0.8× 162 1.4× 5 0.1× 92 1.5× 300 4.9× 28 695
Deshun Gong China 11 445 1.3× 15 0.1× 7 0.1× 40 0.7× 20 0.3× 16 639
Caleigh M. Azumaya United States 11 282 0.8× 65 0.5× 4 0.1× 32 0.5× 26 0.4× 15 602
Barbara Dziegielewska United States 9 439 1.2× 56 0.5× 4 0.1× 98 1.6× 13 0.2× 12 528
H Liu China 10 361 1.0× 15 0.1× 16 0.2× 47 0.8× 7 0.1× 21 495
Ying Qi China 14 689 1.9× 17 0.1× 4 0.1× 136 2.2× 24 0.4× 41 956
Su An China 15 437 1.2× 7 0.1× 10 0.1× 97 1.6× 13 0.2× 35 656

Countries citing papers authored by Marscha Hirschi

Since Specialization
Citations

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

Fields of papers citing papers by Marscha Hirschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marscha Hirschi

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

All Works

10 of 10 papers shown
1.
Liu, Zhonglin, Marscha Hirschi, Oleg Brodsky, et al.. (2024). An allosteric cyclin E-CDK2 site mapped by paralog hopping with covalent probes. Nature Chemical Biology. 21(3). 420–431. 7 indexed citations
2.
Kuhle, Bernhard, et al.. (2023). Structural basis for a degenerate tRNA identity code and the evolution of bimodal specificity in human mitochondrial tRNA recognition. Nature Communications. 14(1). 4794–4794. 2 indexed citations
3.
Kuhle, Bernhard, et al.. (2022). Structural basis for shape-selective recognition and aminoacylation of a D-armless human mitochondrial tRNA. Nature Communications. 13(1). 5100–5100. 13 indexed citations
4.
Hirschi, Marscha, Wangting Lu, Andrew Santiago‐Frangos, et al.. (2020). AcrIF9 tethers non-sequence specific dsDNA to the CRISPR RNA-guided surveillance complex. Nature Communications. 11(1). 2730–2730. 27 indexed citations
5.
Zubcevic, Lejla, Mark A. Herzik, Mengyu Wu, et al.. (2018). Conformational ensemble of the human TRPV3 ion channel. Nature Communications. 9(1). 4773–4773. 91 indexed citations
6.
Hirschi, Marscha, Z.L. Johnson, & Seok‐Yong Lee. (2017). Visualizing multistep elevator-like transitions of a nucleoside transporter. Nature. 545(7652). 66–70. 39 indexed citations
7.
Hirschi, Marscha, Mark A. Herzik, Jinhong Wie, et al.. (2017). Cryo-electron microscopy structure of the lysosomal calcium-permeable channel TRPML3. Nature. 550(7676). 411–414. 91 indexed citations
8.
Eathiraj, Sudharshan, Rocio Palma, Erika Volckova, et al.. (2011). Discovery of a Novel Mode of Protein Kinase Inhibition Characterized by the Mechanism of Inhibition of Human Mesenchymal-epithelial Transition Factor (c-Met) Protein Autophosphorylation by ARQ 197. Journal of Biological Chemistry. 286(23). 20666–20676. 118 indexed citations
9.
Eathiraj, Sudharshan, Rocio Palma, Marscha Hirschi, et al.. (2011). A Novel Mode of Protein Kinase Inhibition Exploiting Hydrophobic Motifs of Autoinhibited Kinases. Journal of Biological Chemistry. 286(23). 20677–20687. 47 indexed citations
10.
Aartsma‐Rus, Annemieke, Laura Van de Vliet, Marscha Hirschi, et al.. (2008). Guidelines for Antisense Oligonucleotide Design and Insight Into Splice-modulating Mechanisms. Molecular Therapy. 17(3). 548–553. 112 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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