Amber L. Delmas

920 total citations
11 papers, 618 citations indexed

About

Amber L. Delmas is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Amber L. Delmas has authored 11 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Amber L. Delmas's work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and RNA modifications and cancer (3 papers). Amber L. Delmas is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers) and RNA modifications and cancer (3 papers). Amber L. Delmas collaborates with scholars based in United States, Hong Kong and Israel. Amber L. Delmas's co-authors include C. Robert Fields, Keith D. Robertson, Bilian Jin, Jingxin Qiu, Babette Brumback, Frederick A. Moore, Brittany Mathias, Philip A. Efron, Benjamin E. Szpila and Lyle L. Moldawer and has published in prestigious journals such as PLoS ONE, Cancer Research and Annals of Surgery.

In The Last Decade

Amber L. Delmas

11 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amber L. Delmas United States 9 369 164 133 127 81 11 618
Xue He China 13 137 0.4× 82 0.5× 22 0.2× 83 0.7× 70 0.9× 35 451
Kazuta Yasui Japan 13 120 0.3× 156 1.0× 98 0.7× 33 0.3× 21 0.3× 43 476
Masahiro Goshima Japan 11 240 0.7× 121 0.7× 27 0.2× 66 0.5× 23 0.3× 14 504
Emily K. Moser United States 12 132 0.4× 340 2.1× 28 0.2× 107 0.8× 35 0.4× 21 543
Shinichiro Yokota United States 13 164 0.4× 183 1.1× 59 0.4× 148 1.2× 35 0.4× 33 582
Nico Andreas Germany 13 108 0.3× 235 1.4× 36 0.3× 43 0.3× 45 0.6× 31 436
Sarah Williams United Kingdom 10 210 0.6× 53 0.3× 71 0.5× 31 0.2× 45 0.6× 20 445
Kishore R. Anekalla United States 10 187 0.5× 147 0.9× 24 0.2× 47 0.4× 54 0.7× 14 433
Marije Bartels Netherlands 12 211 0.6× 90 0.5× 64 0.5× 36 0.3× 21 0.3× 57 617
Alejandro Sica United States 7 166 0.4× 214 1.3× 24 0.2× 48 0.4× 30 0.4× 21 462

Countries citing papers authored by Amber L. Delmas

Since Specialization
Citations

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

Fields of papers citing papers by Amber L. Delmas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber L. Delmas

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

All Works

11 of 11 papers shown
1.
Fuerst, Rita, Anna M. Knapinska, Michael D. Cameron, et al.. (2022). Development of a putative Zn2+-chelating but highly selective MMP-13 inhibitor. Bioorganic & Medicinal Chemistry Letters. 76. 129014–129014. 8 indexed citations
2.
Abreu, María T., Julie Davies, Maria A. Quintero, et al.. (2022). Transcriptional Behavior of Regulatory T Cells Predicts IBD Patient Responses to Vedolizumab Therapy. Inflammatory Bowel Diseases. 28(12). 1800–1812. 16 indexed citations
3.
Mathias, Brittany, Amber L. Delmas, Tezcan Ozrazgat‐Baslanti, et al.. (2016). Human Myeloid-derived Suppressor Cells are Associated With Chronic Immune Suppression After Severe Sepsis/Septic Shock. Annals of Surgery. 265(4). 827–834. 185 indexed citations
4.
Delmas, Amber L., et al.. (2016). Informatics-Based Discovery of Disease-Associated Immune Profiles. PLoS ONE. 11(9). e0163305–e0163305. 1 indexed citations
5.
Siegel, Erin M., et al.. (2015). Quantitative DNA Methylation Analysis of Candidate Genes in Cervical Cancer. PLoS ONE. 10(3). e0122495–e0122495. 43 indexed citations
6.
Delmas, Amber L., Carolina Pardo‐Díaz, Lisa Dyer, et al.. (2011). WIF1 is a frequent target for epigenetic silencing in squamous cell carcinoma of the cervix. Carcinogenesis. 32(11). 1625–1633. 30 indexed citations
7.
Pardo‐Díaz, Carolina, Russell P. Darst, Nancy Nabilsi, Amber L. Delmas, & Michael P. Kladde. (2011). Simultaneous Single‐Molecule Mapping of Protein‐DNA Interactions and DNA Methylation by MAPit. Current Protocols in Molecular Biology. 95(1). Unit 21.22–Unit 21.22. 15 indexed citations
8.
Jin, Bilian, Bing Yao, Jian‐Liang Li, et al.. (2009). DNMT1 and DNMT3B Modulate Distinct Polycomb-Mediated Histone Modifications in Colon Cancer. Cancer Research. 69(18). 7412–7421. 90 indexed citations
9.
Qiu, Jingxin, Lingbao Ai, Cheppail Ramachandran, et al.. (2008). Invasion suppressor cystatin E/M (CST6): high-level cell type-specific expression in normal brain and epigenetic silencing in gliomas. Laboratory Investigation. 88(9). 910–925. 48 indexed citations
10.
11.
Giroud, A., et al.. (1963). [CYCLOCEPHALUS: MORPHOGENESIS AND MECHANISM OF ITS PRODUCTION].. PubMed. 47. 293–311. 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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