Rosemary Braun

19.8k total citations · 1 hit paper
46 papers, 15.8k citations indexed

About

Rosemary Braun is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Rosemary Braun has authored 46 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Endocrine and Autonomic Systems and 6 papers in Physiology. Recurrent topics in Rosemary Braun's work include Circadian rhythm and melatonin (15 papers), Bioinformatics and Genomic Networks (9 papers) and Gene expression and cancer classification (8 papers). Rosemary Braun is often cited by papers focused on Circadian rhythm and melatonin (15 papers), Bioinformatics and Genomic Networks (9 papers) and Gene expression and cancer classification (8 papers). Rosemary Braun collaborates with scholars based in United States, Germany and Poland. Rosemary Braun's co-authors include Klaus Schulten, Robert D. Skeel, Emad Tajkhorshid, Elizabeth Villa, Wei Wang, J. C. Phillips, Christophe Chipot, Laxmikant V. Kalé, James C. Gumbart and Phyllis C. Zee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Bioinformatics.

In The Last Decade

Rosemary Braun

45 papers receiving 15.6k 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.

Scalable molecular dynamics with NAMD

2005 13.9k citations Rosemary Braun, Klaus Schulten et al. profile →

Peers

Countries citing papers authored by Rosemary Braun

Since Specialization

Citations

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

Fields of papers citing papers by Rosemary Braun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemary Braun

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

#	Work	Indexed citations
1	Temperature-driven coordination of circadian transcriptional regulation 2024 ·PLoS Computational Biology ·(unknown), Dae‐Sung Hwangbo, (unknown), Clark Rosensweig, Ravi Allada, William L. Kath, Rosemary Braun	1
2	Detecting Rhythmic Gene Expression in Single-cell Transcriptomics 2024 ·Journal of Biological Rhythms ·(unknown), Dingbang Ma, Katharine C. Abruzzi, Rosemary Braun	0
3	scHolography: a computational method for single-cell spatial neighborhood reconstruction and analysis 2024 ·Genome biology ·(unknown), (unknown), Dongmei Wang, Rosemary Braun, Rui Yi	3
4	Single cell transcriptomics reveals reduced stress response in stem cells manipulated using localized electric fields 2023 ·Materials Today Bio ·Prithvijit Mukherjee, Chian‐Yu Peng, Tammy L. McGuire, (unknown), (unknown), (unknown), (unknown), Rosemary Braun, John A. Kessler, Horacio D. Espinosa	9
5	Quantitative analysis of transcriptome dynamics provides novel insights into developmental state transitions 2022 ·BMC Genomics ·Kristin Johnson, (unknown), Rosemary Braun, Carole LaBonne	7
6	TimeCycle: topology inspired method for the detection of cycling transcripts in circadian time-series data 2021 ·Bioinformatics ·(unknown), Rosemary Braun	3
7	TimeTrial: An Interactive Application for Optimizing the Design and Analysis of Transcriptomic Time-Series Data in Circadian Biology Research 2020 ·Journal of Biological Rhythms ·(unknown), Marta Iwanaszko, William L. Kath, Ravi Allada, Rosemary Braun	12
8	NAD+ Controls Circadian Reprogramming through PER2 Nuclear Translocation to Counter Aging 2020 ·Molecular Cell ·Daniel C. Levine, Hee‐Kyung Hong, Benjamin J. Weidemann, Kathryn Moynihan Ramsey, Alison H. Affinati, Mark S. Schmidt, Jonathan Cedernaes, Chiaki Omura, Rosemary Braun, Choogon Lee, Charles Brenner, Clara Bien Peek, Joseph Bass	127
9	GeneSurrounder: network-based identification of disease genes in expression data 2019 ·BMC Bioinformatics ·(unknown), Rosemary Braun	8
10	Time-lagged Ordered Lasso for network inference 2018 ·BMC Bioinformatics ·(unknown), Rosemary Braun	10
11	Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease 2013 ·PLoS ONE ·Qing-Rong Chen, Rosemary Braun, Ying Hu, Chunhua Yan, Elizabeth M. Brunt, Daoud Meerzaman, Arun J. Sanyal, Kenneth H. Buetow	18
12	Discovery Analysis of TCGA Data Reveals Association between Germline Genotype and Survival in Ovarian Cancer Patients 2013 ·PLoS ONE ·Rosemary Braun, Richard Finney, Chunhua Yan, (unknown), Ying Hu, Michael N. Edmonson, Daoud Meerzaman, Kenneth H. Buetow	24
13	Partition decoupling for multi-gene analysis of gene expression profiling data 2011 ·BMC Bioinformatics ·Rosemary Braun, (unknown), Scott D. Pauls, Daniel N. Rockmore	8
14	Pathways of Distinction Analysis: A New Technique for Multi–SNP Analysis of GWAS Data 2011 ·PLoS Genetics ·Rosemary Braun, Kenneth H. Buetow	46
15	MicroRNA Expression in Squamous Cell Carcinoma and Adenocarcinoma of the Esophagus: Associations with Survival 2009 ·Clinical Cancer Research ·Ewy A. Mathé, Giang Huong Nguyen, Elise D. Bowman, Yiqiang Zhao, Anuradha Budhu, Aaron J. Schetter, Rosemary Braun, Mark Reimers, Kensuke Kumamoto, Duncan Hughes, Nasser K. Altorki, Alan G. Casson, Chang–Gong Liu, Xin Wei Wang, Nozomu Yanaihara, Nobutoshi Hagiwara, Andrew J. Dannenberg, Masao Miyashita, Carlo M. Croce, Curtis C. Harris	319
16	Needles in the Haystack: Identifying Individuals Present in Pooled Genomic Data 2009 ·PLoS Genetics ·Rosemary Braun, William Rowe, (unknown), Jinghui Zhang, Kenneth H. Buetow	37
17	Molecular Dynamics Simulations of Micelle Formation around Dimeric Glycophorin A Transmembrane Helices 2004 ·Biophysical Journal ·Rosemary Braun, Donald M. Engelman, Klaus Schulten	67
18	Genetically engineered gold-binding polypeptides: structure prediction and molecular dynamics 2002 ·Journal of Biomaterials Science Polymer Edition ·Rosemary Braun, Mehmet Sarıkaya, Klaus Schulten	130
19	Expression of NM23 Protein in Acquired Melanocytic Nevi, Malignant Melanoma and Metastases of Malignant Melanoma: An Immunohistological Assessment in Human Skin 1997 ·Dermatology ·Jörg Reichrath, (unknown), Rosemary Braun, Simon Müller, Hans‐Peter Baum, Friedrich A. Bahmer	8
20	In-vivo-Einfluß von Valtrat/Isovaltrat auf Knochenmarkzellen der Maus und auf die metabolische Aktivität der Leber 1984 ·Planta Medica ·Rosemary Braun, (unknown), (unknown), H. R. Maurer	7

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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