Steven B. Haase

3.0k total citations
62 papers, 2.1k citations indexed

About

Steven B. Haase is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Steven B. Haase has authored 62 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 14 papers in Plant Science and 11 papers in Cell Biology. Recurrent topics in Steven B. Haase's work include Gene Regulatory Network Analysis (26 papers), Fungal and yeast genetics research (17 papers) and Bioinformatics and Genomic Networks (14 papers). Steven B. Haase is often cited by papers focused on Gene Regulatory Network Analysis (26 papers), Fungal and yeast genetics research (17 papers) and Bioinformatics and Genomic Networks (14 papers). Steven B. Haase collaborates with scholars based in United States, Italy and Taiwan. Steven B. Haase's co-authors include Steven I. Reed, Patrick J. Krysan, M P Calos, David A. Orlando, Daniel J. Lew, Anastasia Deckard, John Harer, Alexander J. Hartemink, Michèle P. Calos and Edwin S. Iversen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Steven B. Haase

61 papers receiving 2.1k citations

Peers

Steven B. Haase

ONCOL

GENET

Russell L. Finley United States

Maga Rowicka United States

Jeremy E. Purvis United States

Philippe Vaglio United States

Carolina Perez‐Iratxeta Canada

Michael F. Chou United States

Philip Bucher Germany

Thomas Jensen Denmark

Attila Csikász‐Nagy United Kingdom

Helen C. Causton United States

Russell L. Finley United States

Steven B. Haase

2.5k ×1.6

217 ×0.6

506 ×1.5

316 ×1.2

ONCOL

315 ×1.4

GENET

Citations per year, relative to Steven B. Haase Steven B. Haase (= 1×) peers Russell L. Finley

Countries citing papers authored by Steven B. Haase

Since Specialization

Citations

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

Fields of papers citing papers by Steven B. Haase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven B. Haase. 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 Steven B. Haase. The network helps show where Steven B. Haase may publish in the future.

Co-authorship network of co-authors of Steven B. Haase

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

All Works

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20 of 20 papers shown

Motta, Francis C., et al.. (2024). Generalized measures of population synchrony. Mathematical Biosciences. 380. 109344–109344. 1 indexed citations

Fox, Julian C., et al.. (2023). A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets. Mathematical Biosciences. 367. 109102–109102. 2 indexed citations

Cummins, Bree, Francis C. Motta, Anastasia Deckard, et al.. (2022). Experimental guidance for discovering genetic networks through hypothesis reduction on time series. PLoS Computational Biology. 18(10). e1010145–e1010145. 1 indexed citations

Bryce, Daniel, Robert P. Goldman, Jacob Beal, et al.. (2022). Round Trip: An Automated Pipeline for Experimental Design, Execution, and Analysis. ACS Synthetic Biology. 11(2). 608–622. 6 indexed citations

Leiby, Nicholas, et al.. (2021). Improved datasets and evaluation methods for the automatic prediction of DNA-binding proteins. Bioinformatics. 38(1). 44–51. 5 indexed citations

Saelens, Joseph W., Jens E. V. Petersen, Elizabeth Freedman, et al.. (2021). Impact of Sickle Cell Trait Hemoglobin on the Intraerythrocytic Transcriptional Program of Plasmodium falciparum. mSphere. 6(5). e0075521–e0075521. 4 indexed citations

Cummins, Bree, et al.. (2021). Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline. Journal of Visualized Experiments. 2 indexed citations

Cummins, Bree, et al.. (2020). Using extremal events to characterize noisy time series. Journal of Mathematical Biology. 80(5). 1523–1557. 5 indexed citations

Foster, Matthew W., Francis C. Motta, Anastasia Deckard, et al.. (2018). Layers of regulation of cell-cycle gene expression in the budding yeastSaccharomyces cerevisiae. Molecular Biology of the Cell. 29(22). 2644–2655. 11 indexed citations

10.

Mewalal, Ritesh, et al.. (2018). Conservation and Diversification of Circadian Rhythmicity Between a Model Crassulacean Acid Metabolism Plant Kalanchoë fedtschenkoi and a Model C3 Photosynthesis Plant Arabidopsis thaliana. Frontiers in Plant Science. 9. 1757–1757. 22 indexed citations

11.

Haase, Steven B., et al.. (2017). Connecting virulence pathways to cell-cycle progression in the fungal pathogen Cryptococcus neoformans. Current Genetics. 63(5). 803–811. 9 indexed citations

12.

Guo, Xin, Anastasia Deckard, Adam R. Leman, et al.. (2016). The Local Edge Machine: inference of dynamic models of gene regulation. Genome biology. 17(1). 214–214. 14 indexed citations

13.

Haase, Steven B. & Curt Wittenberg. (2014). Topology and Control of the Cell-Cycle-Regulated Transcriptional Circuitry. Genetics. 196(1). 65–90. 63 indexed citations

14.

Ho, Hsiu J., Tsung‐I Lin, Hannah Chang, et al.. (2012). Parametric modeling of cellular state transitions as measured with flow cytometry. BMC Bioinformatics. 13(S5). S5–S5. 9 indexed citations

15.

Orlando, David A., Charles Y. Lin, Jean Y. Wang, et al.. (2008). Global control of cell-cycle transcription by coupled CDK and network oscillators. Nature. 453(7197). 944–947. 228 indexed citations

16.

Orlando, David A., et al.. (2008). Transcription network and cyclin/CDKs: The yin and yang of cell cycle oscillators. Cell Cycle. 7(17). 2626–2629. 39 indexed citations

17.

Nelson, Christine L., et al.. (2008). Intrinsic and Cyclin-dependent Kinase-dependent Control of Spindle Pole Body Duplication in Budding Yeast. Molecular Biology of the Cell. 19(8). 3243–3253. 6 indexed citations

18.

Haase, Steven B. & Daniel J. Lew. (2007). Microtubule Organization: Cell Shape Is Destiny. Current Biology. 17(7). R249–R251. 5 indexed citations

19.

Haase, Steven B. & Steven I. Reed. (2002). Improved Flow Cytometric Analysis of the Budding Yeast Cell Cycle. Cell Cycle. 1(2). 117–121. 198 indexed citations

20.

Haase, Steven B., et al.. (1989). Improved EBV shuttle vectors. Mutation Research/Reviews in Genetic Toxicology. 220(2-3). 125–132. 6 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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