Maria Samson

2.0k total citations · 1 hit paper
31 papers, 1.6k citations indexed

About

Maria Samson is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Maria Samson has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Maria Samson's work include Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (8 papers) and interferon and immune responses (3 papers). Maria Samson is often cited by papers focused on Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (8 papers) and interferon and immune responses (3 papers). Maria Samson collaborates with scholars based in United States, France and Italy. Maria Samson's co-authors include C Méry, P. Gérard, M Lequesne, Ruzanna Atoyan, Guang-Xin Xu, Steven DellaRocca, Cheng-Jung Lai, Xiong Cai, Changgeng Qian and Brian Zifcak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Nature Biotechnology.

In The Last Decade

Maria Samson

29 papers receiving 1.5k citations

Hit Papers

Indexes of Severity for Osteoarthritis of the Hip and Kne... 1987 2026 2000 2013 1987 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Samson United States 14 696 449 287 219 216 31 1.6k
Frédéric De Ceuninck France 18 518 0.7× 426 0.9× 220 0.8× 125 0.6× 161 0.7× 47 1.2k
Maritza Quintero United States 14 220 0.3× 393 0.9× 177 0.6× 221 1.0× 85 0.4× 39 901
Lindsay Coleman United Kingdom 12 733 1.1× 174 0.4× 199 0.7× 75 0.3× 274 1.3× 17 1.4k
Yinglu Guo China 27 1.1k 1.5× 136 0.3× 210 0.7× 81 0.4× 361 1.7× 75 2.2k
Yu Deng China 18 600 0.9× 144 0.3× 158 0.6× 76 0.3× 77 0.4× 44 1.2k
Chien‐Chung Huang Taiwan 23 482 0.7× 328 0.7× 93 0.3× 96 0.4× 202 0.9× 46 1.2k
Alvin C. Lin United States 14 602 0.9× 311 0.7× 163 0.6× 57 0.3× 123 0.6× 29 1.5k
B Müller Germany 15 341 0.5× 495 1.1× 150 0.5× 123 0.6× 99 0.5× 28 1.1k
Takeshi Taketani Japan 25 1.2k 1.7× 195 0.4× 91 0.3× 20 0.1× 132 0.6× 119 2.1k
Richard C. Chou United States 16 347 0.5× 178 0.4× 99 0.3× 50 0.2× 120 0.6× 29 1.2k

Countries citing papers authored by Maria Samson

Since Specialization
Citations

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

Fields of papers citing papers by Maria Samson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Samson

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Samson. A scholar is included among the top collaborators of Maria Samson 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 Maria Samson. Maria Samson 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.
Ugolkov, Andrey, et al.. (2021). Abstract 385: Identification of NF-kappaB phospho-p50 as a predictive biomarker for IRAK4 inhibitor CA-4948 in patients with non-Hodgkin's lymphoma. Cancer Research. 81(13_Supplement). 385–385. 1 indexed citations
3.
DelRosso, Lourdes M., Joanna E. Wrede, Maida Lynn Chen, et al.. (2019). Comorbidities in children with elevated periodic limb movement index during sleep. SLEEP. 43(2). 15 indexed citations
4.
Booher, Robert N., Maria Samson, Guang-Xin Xu, Hongsheng Cheng, & David Tuck. (2017). Abstract 1168: Efficacy of the IRAK4 inhibitor CA-4948 in patient-derived xenograft models of diffuse large B cell lymphoma. Cancer Research. 77(13_Supplement). 1168–1168. 8 indexed citations
5.
Sun, Kaiming, Ruzanna Atoyan, Mylissa Borek, et al.. (2016). Dual HDAC and PI3K Inhibitor CUDC-907 Downregulates MYC and Suppresses Growth of MYC-dependent Cancers. Molecular Cancer Therapeutics. 16(2). 285–299. 109 indexed citations
6.
Atoyan, Ruzanna, Maria Samson, Anna Walaszczyk, et al.. (2014). Abstract 917: Post-treatment changes in levels of TNF family ligands and XIAP may predict sensitivity to IAP antagonist CUDC-427. Cancer Research. 74(19_Supplement). 917–917. 1 indexed citations
7.
Wang, Jing, Maria Samson, Ruzanna Atoyan, et al.. (2013). Potential Advantages of CUDC-101, a Multitargeted HDAC, EGFR, and HER2 Inhibitor, in Treating Drug Resistance and Preventing Cancer Cell Migration and Invasion. Molecular Cancer Therapeutics. 12(6). 925–936. 68 indexed citations
8.
Qian, Changgeng, Cheng-Jung Lai, Rudi Bao, et al.. (2012). Cancer Network Disruption by a Single Molecule Inhibitor Targeting Both Histone Deacetylase Activity and Phosphatidylinositol 3-Kinase Signaling. Clinical Cancer Research. 18(15). 4104–4113. 188 indexed citations
9.
Beier, Kevin T., Maria Samson, Takahiko Matsuda, & Constance L. Cepko. (2011). Conditional expression of the TVA receptor allows clonal analysis of descendents from Cre-expressing progenitor cells. Developmental Biology. 353(2). 309–320. 39 indexed citations
10.
11.
Samson, Maria, Mark M. Emerson, & Constance L. Cepko. (2009). Robust marking of photoreceptor cells and pinealocytes with several reporters under control of the Crx gene. Developmental Dynamics. 238(12). 3218–3225. 18 indexed citations
12.
Bao, Rudi, Cheng-Jung Lai, Hui Qu, et al.. (2009). CUDC-305, a Novel Synthetic HSP90 Inhibitor with Unique Pharmacologic Properties for Cancer Therapy. Clinical Cancer Research. 15(12). 4046–4057. 80 indexed citations
13.
Bao, Rudi, Cheng-Jung Lai, Da-Gong Wang, et al.. (2009). Targeting heat shock protein 90 with CUDC-305 overcomes erlotinib resistance in non–small cell lung cancer. Molecular Cancer Therapeutics. 8(12). 3296–3306. 47 indexed citations
14.
Smith, Devyn M., et al.. (1999). Production and Design of More Effective Avian Replication-Incompetent Retroviral Vectors. Developmental Biology. 214(2). 370–384. 51 indexed citations
15.
Sanna, Pietro Paolo, et al.. (1999). pFab-CMV, a single vector system for the rapid conversion of recombinant Fabs into whole IgG1 antibodies. Immunotechnology. 4(3-4). 185–188. 16 indexed citations
16.
Sanna, Pietro Paolo, Alessandro De Logu, R. Anthony Williamson, et al.. (1995). Rapid Assay of Phage-Derived Recombinant Human Fabs As Bispecific Antibodies. Nature Biotechnology. 13(11). 1221–1224. 4 indexed citations
17.
Lequesne, M, et al.. (1993). [Quality of life and functional indices in osteoarthritis].. PubMed. 60(5 Pt 2). 23S–29S. 1 indexed citations
18.
Lequesne, M, Maria Samson, P. Gérard, & C Méry. (1990). [Pain-function indices for the follow-up of osteoarthritis of the hip and the knee].. PubMed. 57(9 ( Pt 2)). 32S–36S. 12 indexed citations
19.
Lequesne, M, C Méry, Maria Samson, & P. Gérard. (1987). Indexes of Severity for Osteoarthritis of the Hip and Knee:Validation–Value in Comparison with Other Assessment Tests. Scandinavian Journal of Rheumatology. 16(sup65). 85–89. 643 indexed citations breakdown →
20.
Samson, Maria, et al.. (1975). [Trial of use of computer technology for the assistance of neurologic diagnosis].. PubMed. 23(5). 387–93. 2 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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