Sara Knaack

578 total citations
15 papers, 290 citations indexed

About

Sara Knaack is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Sara Knaack has authored 15 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Sara Knaack's work include Genomics and Chromatin Dynamics (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Gene Regulatory Network Analysis (3 papers). Sara Knaack is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Gene Regulatory Network Analysis (3 papers). Sara Knaack collaborates with scholars based in United States, Canada and Spain. Sara Knaack's co-authors include Sushmita Roy, Deborah Chasman, Alireza Fotuhi Siahpirani, Rupa Sridharan, Ron Stewart, Michael D. Wilson, Ferhat Ay, Shilu Zhang, Paolo M. Triozzi and Matias Kirst and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Development.

In The Last Decade

Sara Knaack

15 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Knaack United States	8	234	95	21	15	12	15	290
Mhaned Oubounyt Germany	6	195 0.8×	35 0.4×	14 0.7×	19 1.3×	3 0.3×	13	237
Suzy Stiegelmeyer United States	5	103 0.4×	139 1.5×	19 0.9×	16 1.1×	11 0.9×	5	202
Luis Enrique Cabrera-Quio Austria	6	134 0.6×	122 1.3×	36 1.7×	17 1.1×	9 0.8×	6	233
Pooja Umale United States	4	75 0.3×	96 1.0×	19 0.9×	13 0.9×	7 0.6×	4	166
Lauren K. Dedow United States	5	142 0.6×	142 1.5×	45 2.1×	14 0.9×	11 0.9×	5	226
Paolo M. Triozzi United States	12	191 0.8×	244 2.6×	10 0.5×	14 0.9×	25 2.1×	19	332
R. Robilotto United States	3	168 0.7×	44 0.5×	37 1.8×	26 1.7×	4 0.3×	3	208
Akanksha Srivastava Australia	6	231 1.0×	168 1.8×	39 1.9×	26 1.7×	5 0.4×	8	322
Zuzana Lubovská Czechia	7	185 0.8×	262 2.8×	18 0.9×	4 0.3×	8 0.7×	7	353

Countries citing papers authored by Sara Knaack

Since Specialization

Citations

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

Fields of papers citing papers by Sara Knaack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Knaack

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

All Works

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15 of 15 papers shown

1.

Knaack, Sara, Stuart MacGregor, Masoumeh Hosseini, et al.. (2025). Single‐nucleus analysis reveals oxidative stress in Down syndrome basal forebrain neurons at birth. Alzheimer s & Dementia. 21(7). e70445–e70445. 1 indexed citations

2.

Pereira, Wendell J., Daniel Conde, Paolo M. Triozzi, et al.. (2024). The single-cell transcriptome program of nodule development cellular lineages in Medicago truncatula. Cell Reports. 43(2). 113747–113747. 23 indexed citations

3.

Pereira, Wendell J., Sara Knaack, Sanhita Chakraborty, et al.. (2022). Functional and comparative genomics reveals conserved noncoding sequences in the nitrogen‐fixing clade. New Phytologist. 234(2). 634–649. 4 indexed citations

4.

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

5.

Zhang, Shilu, Sara Knaack, & Sushmita Roy. (2022). Enabling Studies of Genome-Scale Regulatory Network Evolution in Large Phylogenies with MRTLE. Methods in molecular biology. 2477. 439–455. 1 indexed citations

6.

Knaack, Sara, Daniel Conde, Sanhita Chakraborty, et al.. (2022). Temporal change in chromatin accessibility predicts regulators of nodulation in Medicago truncatula. BMC Biology. 20(1). 252–252. 5 indexed citations

7.

Conde, Daniel, Paolo M. Triozzi, Wendell J. Pereira, et al.. (2022). Single-nuclei transcriptome analysis of the shoot apex vascular system differentiation in Populus. Development. 149(21). 36 indexed citations

8.

Irving, T. B., Sanhita Chakraborty, Lucas Gontijo Silva Maia, et al.. (2022). An LCO-responsive homolog of NODULE INCEPTION positively regulates lateral root formation in Populus sp.. PLANT PHYSIOLOGY. 190(3). 1699–1714. 7 indexed citations

9.

Mehta, Tarang K., Christopher Koch, Will Nash, et al.. (2021). Evolution of regulatory networks associated with traits under selection in cichlids. Genome biology. 22(1). 25–25. 11 indexed citations

10.

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

11.

Koch, Christopher, Jay H. Konieczka, Toni Delorey, et al.. (2017). Inference and Evolutionary Analysis of Genome-Scale Regulatory Networks in Large Phylogenies. Cell Systems. 4(5). 543–558.e8. 24 indexed citations

12.

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

13.

Knaack, Sara, Dawn Thompson, & Sushmita Roy. (2015). Reconstruction and Analysis of the Evolution of Modular Transcriptional Regulatory Programs Using Arboretum. Methods in molecular biology. 1361. 375–389. 2 indexed citations

14.

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

15.

Knaack, Sara, Alireza Fotuhi Siahpirani, & Sushmita Roy. (2014). A Pan-Cancer Modular Regulatory Network Analysis to Identify Common and Cancer-Specific Network Components. Cancer Informatics. 13s5(Suppl 5). CIN.S14058–CIN.S14058. 21 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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