Amanda L. Robichaud

1.3k total citations
9 papers, 370 citations indexed

About

Amanda L. Robichaud is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amanda L. Robichaud has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amanda L. Robichaud's work include Protein Degradation and Inhibitors (4 papers), Advanced Breast Cancer Therapies (2 papers) and Ubiquitin and proteasome pathways (2 papers). Amanda L. Robichaud is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Advanced Breast Cancer Therapies (2 papers) and Ubiquitin and proteasome pathways (2 papers). Amanda L. Robichaud collaborates with scholars based in United States, Germany and France. Amanda L. Robichaud's co-authors include Kimberly Stegmaier, Amy Saur Conway, Joseph D. Mancias, Miljan Kuljanin, Behnam Nabet, James E. Bradner, Dennis L. Buckley, Nathanael S. Gray, Alan L. Leggett and Fleur M. Ferguson and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Cancer Research.

In The Last Decade

Amanda L. Robichaud

9 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda L. Robichaud United States 7 280 105 52 47 36 9 370
Luigi Alfano Italy 11 271 1.0× 95 0.9× 56 1.1× 45 1.0× 43 1.2× 23 396
Yuanjue Sun China 7 295 1.1× 128 1.2× 66 1.3× 54 1.1× 31 0.9× 8 381
Tatiana Shorstova Canada 4 393 1.4× 88 0.8× 27 0.5× 46 1.0× 65 1.8× 5 435
Lars D. Engstrom United States 9 281 1.0× 204 1.9× 74 1.4× 48 1.0× 22 0.6× 22 434
Bo Kyung A. Seong United States 7 259 0.9× 89 0.8× 41 0.8× 42 0.9× 17 0.5× 7 331
Neele Drobnitzky United Kingdom 6 421 1.5× 168 1.6× 49 0.9× 58 1.2× 16 0.4× 6 497
C Mitsiades United States 7 236 0.8× 106 1.0× 42 0.8× 61 1.3× 97 2.7× 12 344
Melanie Dujka United States 7 223 0.8× 122 1.2× 44 0.8× 56 1.2× 48 1.3× 12 344
Helen Pak Canada 7 357 1.3× 126 1.2× 111 2.1× 64 1.4× 34 0.9× 7 499
Mara Mazzoni Italy 10 196 0.7× 117 1.1× 59 1.1× 58 1.2× 55 1.5× 14 330

Countries citing papers authored by Amanda L. Robichaud

Since Specialization
Citations

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

Fields of papers citing papers by Amanda L. Robichaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda L. Robichaud. 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 Amanda L. Robichaud. The network helps show where Amanda L. Robichaud may publish in the future.

Co-authorship network of co-authors of Amanda L. Robichaud

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

All Works

9 of 9 papers shown
1.
Malone, Clare F., Gabriela Alexe, Amanda L. Robichaud, et al.. (2022). Transcriptional Antagonism by CDK8 Inhibition Improves Therapeutic Efficacy of MEK Inhibitors. Cancer Research. 83(2). 285–300. 8 indexed citations
2.
Malone, Clare F., Neekesh V. Dharia, Guillaume Kugener, et al.. (2021). Selective Modulation of a Pan-Essential Protein as a Therapeutic Strategy in Cancer. Cancer Discovery. 11(9). 2282–2299. 23 indexed citations
3.
Pikman, Yana, Gabriela Alexe, Boris Dimitrov, et al.. (2021). Targeting serine hydroxymethyltransferases 1 and 2 for T-cell acute lymphoblastic leukemia therapy. Leukemia. 36(2). 348–360. 36 indexed citations
4.
Nabet, Behnam, Fleur M. Ferguson, Bo Kyung A. Seong, et al.. (2020). Rapid and direct control of target protein levels with VHL-recruiting dTAG molecules. Nature Communications. 11(1). 4687–4687. 163 indexed citations
5.
Pikman, Yana, Amy Saur Conway, Amanda L. Robichaud, et al.. (2020). Targeting EZH2 for the treatment of hepatosplenic T-cell lymphoma. Blood Advances. 4(7). 1265–1269. 5 indexed citations
6.
Cremer, Anjali, Jana M. Ellegast, Gabriela Alexe, et al.. (2019). Resistance Mechanisms to SYK Inhibition in Acute Myeloid Leukemia. Cancer Discovery. 10(2). 214–231. 26 indexed citations
7.
Guenther, Lillian M., Neekesh V. Dharia, Linda S. Ross, et al.. (2018). A Combination CDK4/6 and IGF1R Inhibitor Strategy for Ewing Sarcoma. Clinical Cancer Research. 25(4). 1343–1357. 62 indexed citations
8.
Stolte, Björn, Amanda Balboni Iniguez, Neekesh V. Dharia, et al.. (2018). Genome-scale CRISPR-Cas9 screen identifies druggable dependencies in TP53 wild-type Ewing sarcoma. The Journal of Experimental Medicine. 215(8). 2137–2155. 46 indexed citations
9.
Guenther, Lillian M., Neekesh V. Dharia, Linda S. Ross, et al.. (2018). Abstract 1629: Targeting resistance mechanisms to CDK4/6 inhibitors in Ewing sarcoma with an IGF1R inhibitor drug combination strategy. Cancer Research. 78(13_Supplement). 1629–1629. 1 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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