Danielle Maeser

1.8k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Danielle Maeser is a scholar working on Molecular Biology, Biophysics and Genetics. According to data from OpenAlex, Danielle Maeser has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biophysics and 3 papers in Genetics. Recurrent topics in Danielle Maeser's work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and Glioma Diagnosis and Treatment (3 papers). Danielle Maeser is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers) and Glioma Diagnosis and Treatment (3 papers). Danielle Maeser collaborates with scholars based in United States and Egypt. Danielle Maeser's co-authors include R. Stephanie Huang, Robert F. Gruener, Ankush Patel, Yingbo Huang, Adam M. Lee, Frank B. Furnari, David A. Largaespada, Clark C. Chen, Tomoyuki Koga and Anand G. Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Current Opinion in Structural Biology.

In The Last Decade

Danielle Maeser

9 papers receiving 998 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data

2021 971 citations Danielle Maeser, Robert F. Gruener et al. Briefings in Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Maeser United States	4	597	558	423	317	175	10	1.0k
Robert F. Gruener United States	4	620 1.0×	642 1.2×	455 1.1×	331 1.0×	181 1.0×	12	1.1k
Zhilin Long China	8	571 1.0×	812 1.5×	492 1.2×	384 1.2×	260 1.5×	10	1.2k
Rongfang Shen China	6	407 0.7×	434 0.8×	307 0.7×	286 0.9×	210 1.2×	9	848
Huating Yuan China	7	558 0.9×	845 1.5×	484 1.1×	370 1.2×	260 1.5×	12	1.3k
Gengtai Ye China	13	344 0.6×	549 1.0×	373 0.9×	361 1.1×	178 1.0×	22	1.1k
Isa Mambetsariev United States	17	470 0.8×	467 0.8×	269 0.6×	370 1.2×	87 0.5×	70	1.1k
Liangdong Sun China	7	462 0.8×	475 0.9×	262 0.6×	396 1.2×	332 1.9×	14	979
Clémentine Le Magnen Switzerland	15	438 0.7×	455 0.8×	264 0.6×	351 1.1×	120 0.7×	22	939
Ya Han China	7	520 0.9×	753 1.3×	400 0.9×	474 1.5×	450 2.6×	9	1.3k
Habib Hamidi United States	16	335 0.6×	685 1.2×	310 0.7×	437 1.4×	96 0.5×	41	1.2k

Countries citing papers authored by Danielle Maeser

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Maeser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Maeser

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Maeser. A scholar is included among the top collaborators of Danielle Maeser 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 Danielle Maeser. Danielle Maeser 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

1.

Maeser, Danielle, Adam M. Lee, Yingbo Huang, et al.. (2024). Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous Tumors. Cancer Research. 84(12). 2021–2033. 3 indexed citations

2.

Lee, Adam M., et al.. (2024). Computational Modeling to Identify Drugs Targeting Metastatic Castration-Resistant Prostate Cancer Characterized by Heightened Glycolysis. Pharmaceuticals. 17(5). 569–569. 2 indexed citations

3.

Maeser, Danielle, Robert F. Gruener, Adam M. Lee, et al.. (2024). Integration of Computational Pipeline to Streamline Efficacious Drug Nomination and Biomarker Discovery in Glioblastoma. Cancers. 16(9). 1723–1723. 3 indexed citations

4.

Patel, Ankush, et al.. (2024). The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare. SHILAP Revista de lepidopterología. 4(2). 1363–1383. 15 indexed citations

5.

Maeser, Danielle, et al.. (2023). A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data. Current Opinion in Structural Biology. 84. 102745–102745. 7 indexed citations

6.

Maeser, Danielle, et al.. (2023). Revealing Pan-Histology Immunomodulatory Targets in Pediatric Central Nervous System Tumors. Cancers. 15(22). 5455–5455. 1 indexed citations

7.

Maeser, Danielle, et al.. (2021). IMMU-03. CHARACTERIZING THE IMMUNE MICROENVIRONMENT OF PEDIATRIC BRAIN TUMORS. Neuro-Oncology. 23(Supplement_1). i27–i27. 1 indexed citations

8.

Maeser, Danielle, Robert F. Gruener, & R. Stephanie Huang. (2021). oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data. Briefings in Bioinformatics. 22(6). 971 indexed citations breakdown →

9.

Maeser, Danielle, Robert F. Gruener, Tomoyuki Koga, et al.. (2021). Abstract 1300: Identification of efficacious treatment for glioblastoma (GBM) by applying computational drug sensitivity imputation to novel GBM avatars and GBM clinical datasets. Cancer Research. 81(13_Supplement). 1300–1300.

10.

Maeser, Danielle, et al.. (2018). Sunlight Exposure, Vitamin D Synthesis, and Multiple Sclerosis in the Northern and Southern Regions of the United States. 1(1). 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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