Rachel S. Salamon

537 total citations
10 papers, 436 citations indexed

About

Rachel S. Salamon is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Rachel S. Salamon has authored 10 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Rachel S. Salamon's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Cellular transport and secretion (2 papers). Rachel S. Salamon is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Cellular transport and secretion (2 papers). Rachel S. Salamon collaborates with scholars based in United States, United Kingdom and France. Rachel S. Salamon's co-authors include Jonathan Backer, Marina K. Holz, Anya Alayev, Naomi Schwartz, Rafael Cuesta, Adi Y. Berman, Anne R. Bresnick, Hashem A. Dbouk, Oscar Vadas and Bassem D. Khalil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Oncogene.

In The Last Decade

Rachel S. Salamon

9 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel S. Salamon United States	9	317	69	69	66	54	10	436
Albert F. Kaboré Canada	8	224 0.7×	52 0.8×	51 0.7×	65 1.0×	36 0.7×	9	367
Juliette Berger France	12	237 0.7×	59 0.9×	47 0.7×	45 0.7×	51 0.9×	28	425
Isabel Fernández‐Pisonero Spain	11	226 0.7×	46 0.7×	50 0.7×	101 1.5×	24 0.4×	21	361
Sandrine Deleu Belgium	9	335 1.1×	51 0.7×	76 1.1×	40 0.6×	39 0.7×	13	457
R. Rana Italy	14	303 1.0×	86 1.2×	45 0.7×	151 2.3×	33 0.6×	37	536
Marta Brewińska‐Olchowik Poland	12	244 0.8×	60 0.9×	145 2.1×	80 1.2×	17 0.3×	14	468
Ajoy Kumar Samraj Germany	11	263 0.8×	51 0.7×	24 0.3×	75 1.1×	25 0.5×	12	408
Azusa Yoneshige Japan	13	266 0.8×	79 1.1×	67 1.0×	34 0.5×	20 0.4×	38	470
Suzanne D. Westfall United States	11	406 1.3×	82 1.2×	47 0.7×	69 1.0×	32 0.6×	12	607
Hirokazu Nakatsumi Japan	10	278 0.9×	103 1.5×	90 1.3×	71 1.1×	12 0.2×	13	442

Countries citing papers authored by Rachel S. Salamon

Since Specialization

Citations

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

Fields of papers citing papers by Rachel S. Salamon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel S. Salamon. 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 Rachel S. Salamon. The network helps show where Rachel S. Salamon may publish in the future.

Co-authorship network of co-authors of Rachel S. Salamon

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

All Works

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10 of 10 papers shown

Alayev, Anya, et al.. (2016). Combination of Rapamycin and Resveratrol for Treatment of Bladder Cancer. Journal of Cellular Physiology. 232(2). 436–446. 49 indexed citations

Alayev, Anya, Rachel S. Salamon, Subrata Manna, et al.. (2016). Estrogen induces RAD51C expression and localization to sites of DNA damage. Cell Cycle. 15(23). 3230–3239. 10 indexed citations

Alayev, Anya, Rachel S. Salamon, Yang Sun, et al.. (2015). Effects of Combining Rapamycin and Resveratrol on Apoptosis and Growth of TSC2-Deficient Xenograft Tumors. American Journal of Respiratory Cell and Molecular Biology. 53(5). 637–646. 26 indexed citations

Alayev, Anya, et al.. (2015). mTORC1 directly phosphorylates and activates ERα upon estrogen stimulation. Oncogene. 35(27). 3535–3543. 74 indexed citations

Alliouachene, Samira, Benoît Bilanges, Gaëtan Chicanne, et al.. (2015). Inactivation of the Class II PI3K-C2β Potentiates Insulin Signaling and Sensitivity. Cell Reports. 13(9). 1881–1894. 62 indexed citations

Salamon, Rachel S., et al.. (2015). Identification of the Rab5 Binding Site in p110β: Assays for PI3Kβ Binding to Rab5. Methods in molecular biology. 1298. 271–281. 12 indexed citations

Salamon, Rachel S. & Jonathan Backer. (2013). Phosphatidylinositol‐3,4,5‐trisphosphate: Tool of choice for class I PI 3‐kinases. BioEssays. 35(7). 602–611. 31 indexed citations

Dbouk, Hashem A., Oscar Vadas, Aliaksei Shymanets, et al.. (2012). G Protein–Coupled Receptor–Mediated Activation of p110β by Gβγ Is Required for Cellular Transformation and Invasiveness. Science Signaling. 5(253). ra89–ra89. 120 indexed citations

Cai, Xinjiang, Shekhar Srivastava, Yi Sun, et al.. (2011). Tripartite motif containing protein 27 negatively regulates CD4 T cells by ubiquitinating and inhibiting the class II PI3K-C2β. Proceedings of the National Academy of Sciences. 108(50). 20072–20077. 51 indexed citations

10.

Bouche, Gauthier, et al.. (2008). Breast cancer surgery: Do all patients want to go to high-volume hospitals?. Journal of Clinical Oncology. 26(15_suppl). 6636–6636. 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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