Deborah Chasman

1.2k total citations
24 papers, 628 citations indexed

About

Deborah Chasman is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Deborah Chasman has authored 24 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Genetics. Recurrent topics in Deborah Chasman's work include Genomics and Chromatin Dynamics (7 papers), Bioinformatics and Genomic Networks (6 papers) and RNA Research and Splicing (6 papers). Deborah Chasman is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Bioinformatics and Genomic Networks (6 papers) and RNA Research and Splicing (6 papers). Deborah Chasman collaborates with scholars based in United States, Canada and Japan. Deborah Chasman's co-authors include Sushmita Roy, Alireza Fotuhi Siahpirani, Sara Knaack, Shilu Zhang, Ron Stewart, Rupa Sridharan, Kevin Garcia, Michael D. Wilson, Jean‐Michel Ané and Ferhat Ay and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Deborah Chasman

24 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Chasman United States 13 380 202 78 53 41 24 628
Zhijie Gu China 5 453 1.2× 133 0.7× 268 3.4× 12 0.2× 33 0.8× 10 725
M Braun Germany 10 720 1.9× 146 0.7× 130 1.7× 92 1.7× 49 1.2× 17 893
Weize Xu China 9 219 0.6× 105 0.5× 54 0.7× 10 0.2× 32 0.8× 19 335
Habib Francis Australia 6 135 0.4× 381 1.9× 143 1.8× 36 0.7× 22 0.5× 8 492
Paul Fox United States 9 415 1.1× 152 0.8× 106 1.4× 9 0.2× 15 0.4× 13 666
William Spooner United Kingdom 7 625 1.6× 161 0.8× 242 3.1× 6 0.1× 32 0.8× 7 784
Victor A. Iglesias Switzerland 12 601 1.6× 716 3.5× 74 0.9× 11 0.2× 23 0.6× 14 1.1k
Yuliang Liu China 11 188 0.5× 90 0.4× 40 0.5× 17 0.3× 22 0.5× 25 311
Andrea Caprera Italy 12 153 0.4× 99 0.5× 118 1.5× 21 0.4× 14 0.3× 22 362

Countries citing papers authored by Deborah Chasman

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Chasman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Chasman

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Chasman. A scholar is included among the top collaborators of Deborah Chasman 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 Deborah Chasman. Deborah Chasman 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.
Lee, Kristine E., Deborah Chasman, Ronald E. Gangnon, et al.. (2024). Farm animal exposure, respiratory illnesses, and nasal cell gene expression. Journal of Allergy and Clinical Immunology. 153(6). 1647–1654. 3 indexed citations
2.
Chasman, Deborah, Rene Welch, Jessica Vázquez, et al.. (2023). Proteogenomic and V(D)J Analysis of Human Decidual T Cells Highlights Unique Transcriptional Programming and Clonal Distribution. The Journal of Immunology. 211(1). 154–162. 4 indexed citations
3.
Siahpirani, Alireza Fotuhi, Sara Knaack, Deborah Chasman, et al.. (2022). Dynamic regulatory module networks for inference of cell type–specific transcriptional networks. Genome Research. 32(7). 1367–1384. 5 indexed citations
4.
Baur, Brittany, et al.. (2022). Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility. Frontiers in Genetics. 12. 788318–788318. 5 indexed citations
5.
Vázquez, Jessica, Deborah Chasman, Rene Welch, et al.. (2021). Multiomic analysis reveals decidual‐specific transcriptional programing of MAIT cells. American Journal of Reproductive Immunology. 86(6). e13495–e13495. 8 indexed citations
6.
Li, Meng, Junha Shin, Ryan D. Risgaard, et al.. (2020). Identification of FMR1-regulated molecular networks in human neurodevelopment. Genome Research. 30(3). 361–374. 42 indexed citations
7.
Vázquez, Jessica, et al.. (2020). Transcriptional and Functional Programming of Decidual Innate Lymphoid Cells. Frontiers in Immunology. 10. 3065–3065. 23 indexed citations
8.
Zhang, Shilu, Deborah Chasman, Sara Knaack, & Sushmita Roy. (2019). In silico prediction of high-resolution Hi-C interaction matrices. Nature Communications. 10(1). 5449–5449. 43 indexed citations
9.
Chasman, Deborah, Nisha Iyer, Alireza Fotuhi Siahpirani, et al.. (2019). Inferring Regulatory Programs Governing Region Specificity of Neuroepithelial Stem Cells during Early Hindbrain and Spinal Cord Development. Cell Systems. 9(2). 167–186.e12. 11 indexed citations
10.
11.
MacGilvray, Matthew E., Evgenia Shishkova, Deborah Chasman, et al.. (2018). Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response. PLoS Computational Biology. 13(5). e1006088–e1006088. 15 indexed citations
12.
Siahpirani, Alireza Fotuhi, Deborah Chasman, & Sushmita Roy. (2018). Integrative Approaches for Inference of Genome-Scale Gene Regulatory Networks. Methods in molecular biology. 1883. 161–194. 2 indexed citations
13.
Chasman, Deborah & Sushmita Roy. (2017). Inference of cell type specific regulatory networks on mammalian lineages. Current Opinion in Systems Biology. 2. 130–139. 12 indexed citations
14.
Garcia, Kevin, Deborah Chasman, Sushmita Roy, & Jean‐Michel Ané. (2017). Physiological Responses and Gene Co-Expression Network of Mycorrhizal Roots under K+ Deprivation. PLANT PHYSIOLOGY. 173(3). 1811–1823. 52 indexed citations
15.
Chasman, Deborah, Alireza Fotuhi Siahpirani, & Sushmita Roy. (2016). Network-based approaches for analysis of complex biological systems. Current Opinion in Biotechnology. 39. 157–166. 51 indexed citations
16.
Chasman, Deborah, Kevin Walters, Tiago J. S. Lopes, et al.. (2016). Integrating Transcriptomic and Proteomic Data Using Predictive Regulatory Network Models of Host Response to Pathogens. PLoS Computational Biology. 12(7). e1005013–e1005013. 21 indexed citations
17.
Larrainzar, Estíbaliz, Brendan K. Riely, Sang Cheol Kim, et al.. (2015). Deep Sequencing of the Medicago truncatula Root Transcriptome Reveals a Massive and Early Interaction between Nodulation Factor and Ethylene Signals. PLANT PHYSIOLOGY. 169(1). 233–265. 113 indexed citations
18.
Roy, Sushmita, Alireza Fotuhi Siahpirani, Deborah Chasman, et al.. (2015). A predictive modeling approach for cell line-specific long-range regulatory interactions. Nucleic Acids Research. 44(4). 1977–1978. 12 indexed citations
19.
Roy, Sushmita, Alireza Fotuhi Siahpirani, Deborah Chasman, et al.. (2015). A predictive modeling approach for cell line-specific long-range regulatory interactions. Nucleic Acids Research. 43(18). 8694–8712. 95 indexed citations
20.
Chasman, Deborah, Yi‐Hsuan Ho, David B. Berry, et al.. (2014). Pathway connectivity and signaling coordination in the yeast stress‐activated signaling network. Molecular Systems Biology. 10(11). 759–759. 69 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhijie Gu Breakdown of academic impact, for papers by M Braun Breakdown of academic impact, for papers by Weize Xu Breakdown of academic impact, for papers by Habib Francis Breakdown of academic impact, for papers by Paul Fox Breakdown of academic impact, for papers by William Spooner Breakdown of academic impact, for papers by Victor A. Iglesias Breakdown of academic impact, for papers by Yuliang Liu Breakdown of academic impact, for papers by Andrea Caprera
Rankless by CCL
2026