Daniel J. Burke

12.5k total citations · 4 hit papers
143 papers, 9.9k citations indexed

About

Daniel J. Burke is a scholar working on Molecular Biology, Cell Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel J. Burke has authored 143 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 40 papers in Cell Biology and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel J. Burke's work include Microtubule and mitosis dynamics (34 papers), Fungal and yeast genetics research (34 papers) and Photosynthetic Processes and Mechanisms (12 papers). Daniel J. Burke is often cited by papers focused on Microtubule and mitosis dynamics (34 papers), Fungal and yeast genetics research (34 papers) and Photosynthetic Processes and Mechanisms (12 papers). Daniel J. Burke collaborates with scholars based in United States, Ireland and United Kingdom. Daniel J. Burke's co-authors include Craig J. Hawker, Matthew J. Kade, David C. Amberg, Jeffrey N. Strathern, P. Todd Stukenberg, Mark O’Malley, Jeffrey Shabanowitz, Donald F. Hunt, Karen L. Wooley and Andreas M. Nyström and has published in prestigious journals such as New England Journal of Medicine, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel J. Burke

140 papers receiving 9.6k 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.

Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae

2002 1.4k citations P. Todd Stukenberg, Daniel J. Burke et al. profile →
Applications of Orthogonal “Click” Chemistries in the Synthesis of Functional Soft Materials

2009 1.3k citations Daniel J. Burke, Craig J. Hawker et al. profile →
Methods in yeast genetics : a Cold Spring Harbor Laboratory course manual

2005 1.2k citations David C. Amberg, Daniel J. Burke et al. profile →
The power of thiol‐ene chemistry

2010 756 citations Daniel J. Burke, Craig J. Hawker et al. profile →

Peers

Countries citing papers authored by Daniel J. Burke

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Burke. 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 Daniel J. Burke. The network helps show where Daniel J. Burke may publish in the future.

Co-authorship network of co-authors of Daniel J. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Burke. A scholar is included among the top collaborators of Daniel J. Burke 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 Daniel J. Burke. Daniel J. Burke 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	Single swim sessions in C. elegans induce key features of mammalian exercise 2017 ·BMC Biology ·Ricardo Laranjeiro, Girish Harinath, Daniel J. Burke, Bart P. Braeckman, Monica Driscoll	67
2	Vitronectin-Based, Biomimetic Encapsulating Hydrogel Scaffolds Support Adipogenesis of Adipose Stem Cells 2016 ·Tissue Engineering Part A ·(unknown), Cassidy Hinman, (unknown), (unknown), Daniel J. Burke, Craig J. Hawker, Darin J. Messina, (unknown), Dennis Clegg	26
3	Classical Genetics with Saccharomyces cerevisiae 2016 ·Cold Spring Harbor Protocols ·David C. Amberg, Daniel J. Burke	4
4	Unbiased segregation of yeast chromatids in Saccharomyces cerevisiae 2013 ·Chromosome Research ·Daniel J. Burke	3
5	Use of Yeast Chemigenomics and COXEN Informatics in Preclinical Evaluation of Anticancer Agents 2011 ·Neoplasia ·Steven C. Smith, Dmytro M. Havaleshko, (unknown), Alexander S. Baras, Jae Lee, Stefan Bekiranov, Daniel J. Burke, Dan Theodorescu	27
6	Optimal Wind Power Location on Transmission Systems - A Probabilistic Load Flow Approach 2008 ·Arrow@dit (Dublin Institute of Technology) ·Daniel J. Burke, Mark O’Malley	8
7	Linking Kinetochore-Microtubule Binding to the Spindle Checkpoint 2008 ·Developmental Cell ·Daniel J. Burke, P. Todd Stukenberg	57
8	Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry 2007 ·Proceedings of the National Academy of Sciences ·An Chi, Curtis Huttenhower, Lewis Y. Geer, Joshua J. Coon, John E. P. Syka, Dina L. Bai, Jeffrey Shabanowitz, Daniel J. Burke, Olga G. Troyanskaya, Donald F. Hunt	460
9	Diverse Functions of Spindle Assembly Checkpoint Genes in Saccharomyces cerevisiae 2005 ·Genetics ·(unknown), Brice E. Keyes, (unknown), (unknown), Daniel J. Burke	45
10	Methods in yeast genetics : a Cold Spring Harbor Laboratory course manual breakdown → 2005 ·David C. Amberg, Daniel J. Burke, Jeffrey N. Strathern	1237
11	The Role of Cdc55 in the Spindle Checkpoint Is through Regulation of Mitotic Exit inSaccharomyces cerevisiae 2005 ·Molecular Biology of the Cell ·Christopher M. Yellman, Daniel J. Burke	52
12	Analyses of the effects of Rck2p mutants on Pbs2pDD-induced toxicity in Saccharomyces cervisiae identify a MAP kinase docking motif, and unexpected functional inactivation due to acidic substitution of T379 2004 ·Molecular Genetics and Genomics ·Linghuo Jiang, (unknown), Katrina L. Clines, Daniel J. Burke, Thomas W. Sturgill	46
13	Complexity in the spindle checkpoint 2000 ·Current Opinion in Genetics & Development ·Daniel J. Burke	76
14	Parent Involvement: The Key to Improved Student Achievement. 1998 ·The School community journal/School community journal ·(unknown), Daniel J. Burke	83
15	Cdc55p, the B-Type Regulatory Subunit of Protein Phosphatase 2A, Has Multiple Functions in Mitosis and Is Required for the Kinetochore/Spindle Checkpoint in Saccharomyces cerevisiae 1997 ·Molecular and Cellular Biology ·Yanchang Wang, Daniel J. Burke	114
16	Hispanic Youth and the Secondary School Culture. 1995 ·The High School journal ·Daniel J. Burke	1
17	Checkpoint Genes Required To Delay Cell Division in Response to Nocodazole Respond to Impaired Kinetochore Function in the Yeast Saccharomyces cerevisiae 1995 ·Molecular and Cellular Biology ·Yanchang Wang, Daniel J. Burke	115
18	Vaccine Therapy Using rgp 160 in Early HIV Infection 1992 ·AIDS Research and Human Retroviruses ·R Redfield, D L Birx, Nzeera Ketter, (unknown), Stuart Johnson, (unknown), (unknown), Charles Oster, Daniel J. Burke	4
19	The CDC20 Gene Product of Saccharomyces cerevisiae, a β-Transducin Homolog, Is Required for a Subset of Microtubule-Dependent Cellular Processes 1991 ·Molecular and Cellular Biology ·(unknown), (unknown), Douglas Koshland, Eileen Hogan, Daniel J. Burke	94
20	Molecular cloning of human monoamine oxidase a and b mao a and b 1988 ·The FASEB Journal ·(unknown), N C Lan, Daniel J. Burke, C. W. Abell, Michael E. Bembenek, P. H. Seeburg, (unknown)	2

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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