Sarah Kolitz

1.0k total citations
25 papers, 744 citations indexed

About

Sarah Kolitz is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sarah Kolitz has authored 25 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Sarah Kolitz's work include RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (5 papers) and Immunotherapy and Immune Responses (4 papers). Sarah Kolitz is often cited by papers focused on RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (5 papers) and Immunotherapy and Immune Responses (4 papers). Sarah Kolitz collaborates with scholars based in United States, Israel and Canada. Sarah Kolitz's co-authors include Jon R. Lorsch, Douglas A. Lauffenburger, Michael Acker, Jongyoon Han, Aniruddh Sarkar, Jagpreet S. Nanda, Sarah F. Mitchell, Lee D. Kapp, Rebecca Kusko and Antonis E. Koromilas and has published in prestigious journals such as Nature Communications, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Sarah Kolitz

25 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Kolitz United States 15 506 99 53 53 50 25 744
Marco Cavalli Sweden 15 699 1.4× 48 0.5× 54 1.0× 68 1.3× 25 0.5× 33 956
Lin‐Yang Cheng United States 5 800 1.6× 57 0.6× 25 0.5× 77 1.5× 24 0.5× 7 1.2k
Suzanne Ackloo Canada 17 432 0.9× 25 0.3× 54 1.0× 26 0.5× 16 0.3× 33 756
Anita Palma Italy 9 893 1.8× 39 0.4× 22 0.4× 68 1.3× 28 0.6× 11 1.1k
Thomas Stangler Germany 17 746 1.5× 50 0.5× 88 1.7× 222 4.2× 30 0.6× 25 1.1k
Eugenia Voytik Germany 9 720 1.4× 62 0.6× 16 0.3× 61 1.2× 26 0.5× 10 1.1k
Peter V. Treit Germany 9 494 1.0× 74 0.7× 9 0.2× 48 0.9× 37 0.7× 11 981
Yoichi Nakayama Japan 16 537 1.1× 67 0.7× 23 0.4× 16 0.3× 11 0.2× 53 831
Piero Ricchiuto United Kingdom 12 401 0.8× 22 0.2× 32 0.6× 106 2.0× 30 0.6× 23 677
Saša M. Miladinović Switzerland 8 562 1.1× 52 0.5× 22 0.4× 43 0.8× 17 0.3× 14 892

Countries citing papers authored by Sarah Kolitz

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Kolitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Kolitz

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Kolitz. A scholar is included among the top collaborators of Sarah Kolitz 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 Sarah Kolitz. Sarah Kolitz 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
2.
Hall, Brett M., Anna Travesa, Amy Axel, et al.. (2022). 449 Cyclic disruption of the mitogen-activated protein kinase (MAPK) pathway by the dual MEK inhibitor, IMM-6-415, enhances PD1 and CTLA4 checkpoint blockade in RAS mutant tumors. Regular and Young Investigator Award Abstracts. A469–A469. 2 indexed citations
3.
Kim, Jason, Jenny Zhang, Yoonjeong Cha, et al.. (2020). Advanced bioinformatics rapidly identifies existing therapeutics for patients with coronavirus disease-2019 (COVID-19). Journal of Translational Medicine. 18(1). 257–257. 63 indexed citations
5.
Ung, Matthew, Kevin Fowler, Jason Funt, et al.. (2018). Abstract 1509: Cachexia: Leveraging transcriptomics to identify potential therapeutics. Cancer Research. 78(13_Supplement). 1509–1509. 1 indexed citations
6.
Grossman, Iris, Volker Knappertz, Daphna Laifenfeld, et al.. (2016). Pharmacogenomics strategies to optimize treatments for multiple sclerosis: Insights from clinical research. Progress in Neurobiology. 152. 114–130. 20 indexed citations
7.
Geva, Michal, Rebecca Kusko, Holly Soares, et al.. (2016). Pridopidine activates neuroprotective pathways impaired in Huntington Disease. Human Molecular Genetics. 25(18). 3975–3987. 65 indexed citations
8.
Kolitz, Sarah, Fadi Towfic, Daphna Laifenfeld, et al.. (2015). Functional effects of the antigen glatiramer acetate are complex and tightly associated with its composition. Journal of Neuroimmunology. 290. 84–95. 17 indexed citations
9.
Kolitz, Sarah, Fadi Towfic, Jason Funt, et al.. (2015). Gene expression studies of a human monocyte cell line identify dissimilarities between differently manufactured glatiramoids. Scientific Reports. 5(1). 10191–10191. 15 indexed citations
10.
Fowler, Kevin, Jason Funt, Maxim N. Artyomov, et al.. (2015). Leveraging existing data sets to generate new insights into Alzheimer’s disease biology in specific patient subsets. Scientific Reports. 5(1). 14324–14324. 14 indexed citations
11.
Sarkar, Aniruddh, Sarah Kolitz, Douglas A. Lauffenburger, & Jongyoon Han. (2014). Microfluidic probe for single-cell analysis in adherent tissue culture. Nature Communications. 5(1). 3421–3421. 78 indexed citations
12.
Cheow, Lih Feng, Aniruddh Sarkar, Sarah Kolitz, Douglas A. Lauffenburger, & Jongyoon Han. (2014). Detecting Kinase Activities from Single Cell Lysate Using Concentration-Enhanced Mobility Shift Assay. Analytical Chemistry. 86(15). 7455–7462. 36 indexed citations
13.
Dong, Jinsheng, Antonio Munoz, Sarah Kolitz, et al.. (2014). Conserved residues in yeast initiator tRNA calibrate initiation accuracy by regulating preinitiation complex stability at the start codon. Genes & Development. 28(5). 502–520. 25 indexed citations
14.
Kolitz, Sarah & Jon R. Lorsch. (2013). Explanatory Chapter: Nucleic Acid Concentration Determination. Methods in enzymology on CD-ROM/Methods in enzymology. 530. 331–336. 1 indexed citations
15.
Kolitz, Sarah & Douglas A. Lauffenburger. (2012). Measurement and Modeling of Signaling at the Single-Cell Level. Biochemistry. 51(38). 7433–7443. 22 indexed citations
16.
Kolitz, Sarah & Jon R. Lorsch. (2009). Eukaryotic initiator tRNA: Finely tuned and ready for action. FEBS Letters. 584(2). 396–404. 46 indexed citations
18.
Acker, Michael, Sarah Kolitz, Sarah F. Mitchell, Jagpreet S. Nanda, & Jon R. Lorsch. (2007). Reconstitution of Yeast Translation Initiation. Methods in enzymology on CD-ROM/Methods in enzymology. 430. 111–145. 119 indexed citations
19.
Kapp, Lee D., Sarah Kolitz, & Jon R. Lorsch. (2006). Yeast initiator tRNA identity elements cooperate to influence multiple steps of translation initiation. RNA. 12(5). 751–764. 29 indexed citations
20.
Robert, Françis, Lee D. Kapp, Shakila Nargis Khan, et al.. (2006). Initiation of Protein Synthesis by Hepatitis C Virus Is Refractory to Reduced eIF2 · GTP · Met-tRNAiMetTernary Complex Availability. Molecular Biology of the Cell. 17(11). 4632–4644. 106 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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