Martha L. Bulyk

17.7k total citations · 5 hit papers
114 papers, 12.3k citations indexed

About

Martha L. Bulyk is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Martha L. Bulyk has authored 114 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 15 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Martha L. Bulyk's work include Genomics and Chromatin Dynamics (71 papers), RNA Research and Splicing (30 papers) and RNA and protein synthesis mechanisms (27 papers). Martha L. Bulyk is often cited by papers focused on Genomics and Chromatin Dynamics (71 papers), RNA Research and Splicing (30 papers) and RNA and protein synthesis mechanisms (27 papers). Martha L. Bulyk collaborates with scholars based in United States, Canada and China. Martha L. Bulyk's co-authors include Michael F. Berger, Savina Jaeger, Daniel E. Newburger, Anthony Philippakis, Antonina Hafner, Galit Lahav, Ashwini Jambhekar, Andrew R. Gehrke, Kevin Struhl and Dimitrios Iliopoulos and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Martha L. Bulyk

113 papers receiving 12.2k citations

Hit Papers

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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.

The multiple mechanisms that regulate p53 activity and cell fate

2019 796 citations Martha L. Bulyk et al. profile →
Diversity and Complexity in DNA Recognition by Transcription Factors

2009 761 citations Gwenaël Badis, Michael F. Berger et al. Science profile →
STAT3 Activation of miR-21 and miR-181b-1 via PTEN and CYLD Are Part of the Epigenetic Switch Linking Inflammation to Cancer

2010 709 citations Dimitrios Iliopoulos, Savina Jaeger et al. Molecular Cell profile →
Compact, universal DNA microarrays to comprehensively determine transcription-factor binding site specificities

2006 517 citations Michael F. Berger, Anthony Philippakis et al. profile →
Direct Promoter Repression by BCL11A Controls the Fetal to Adult Hemoglobin Switch

2018 310 citations Julia M. Rogers, Martha L. Bulyk et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martha L. Bulyk United States	51	10.2k	1.7k	1.5k	1.2k	1.0k	114	12.3k
Denes Hnisz United States	24	10.1k 1.0×	1.4k 0.9×	1.2k 0.8×	993 0.8×	943 0.9×	34	11.4k
Boris Lenhard United Kingdom	52	10.4k 1.0×	1.7k 1.0×	2.2k 1.4×	1.6k 1.3×	969 0.9×	132	12.7k
Albin Sandelin Denmark	48	11.8k 1.2×	2.7k 1.7×	2.0k 1.3×	1.6k 1.3×	1.0k 1.0×	108	14.5k
Artem Barski United States	35	10.0k 1.0×	1.1k 0.7×	1.7k 1.1×	1.1k 0.9×	1.4k 1.4×	80	12.1k
Dustin E. Schones United States	34	12.3k 1.2×	1.9k 1.1×	1.9k 1.2×	1.2k 1.0×	2.3k 2.2×	62	15.1k
Raphaël Margueron France	44	9.6k 0.9×	1.6k 1.0×	1.5k 1.0×	792 0.6×	625 0.6×	66	10.9k
Frank C. P. Holstege Netherlands	54	8.9k 0.9×	835 0.5×	1.1k 0.7×	722 0.6×	801 0.8×	156	11.1k
Anshul Kundaje United States	44	8.0k 0.8×	1.5k 0.9×	1.9k 1.2×	737 0.6×	814 0.8×	110	10.0k
Stefan Bekiranov United States	36	6.5k 0.6×	1.5k 0.9×	1.3k 0.9×	615 0.5×	855 0.8×	96	8.4k
Paul Bertone United States	48	10.4k 1.0×	1.9k 1.1×	1.1k 0.7×	771 0.6×	598 0.6×	68	12.0k

Countries citing papers authored by Martha L. Bulyk

Since Specialization

Citations

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

Fields of papers citing papers by Martha L. Bulyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martha L. Bulyk. 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 Martha L. Bulyk. The network helps show where Martha L. Bulyk may publish in the future.

Co-authorship network of co-authors of Martha L. Bulyk

This figure shows the co-authorship network connecting the top 25 collaborators of Martha L. Bulyk. A scholar is included among the top collaborators of Martha L. Bulyk 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 Martha L. Bulyk. Martha L. Bulyk 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

Patel, Urvi, et al.. (2023). Altered binding affinity of SIX1-Q177R correlates with enhanced WNT5A and WNT pathway effector expression in Wilms tumor. Disease Models & Mechanisms. 16(11). 4 indexed citations

Jia, Yulin, Bastian Stielow, Stephen S. Gisselbrecht, et al.. (2022). The histone acetyltransferase KAT6A is recruited to unmethylated CpG islands via a DNA binding winged helix domain. Nucleic Acids Research. 51(2). 574–594. 19 indexed citations

Waters, Colin T., Stephen S. Gisselbrecht, Yuliya A. Sytnikova, et al.. (2021). Quantitative-enhancer-FACS-seq (QeFS) reveals epistatic interactions among motifs within transcriptional enhancers in developing Drosophila tissue. Genome biology. 22(1). 348–348. 3 indexed citations

Stielow, Bastian, Hans‐Martin Pogoda, Junyi Jiang, et al.. (2021). The SAM domain-containing protein 1 (SAMD1) acts as a repressive chromatin regulator at unmethylated CpG islands. Science Advances. 7(20). 24 indexed citations

Rogers, Julia M., et al.. (2018). Ancient mechanisms for the evolution of the bicoid homeodomain's function in fly development. eLife. 7. 21 indexed citations

Cui, Huanhuan, Jenny Schlesinger, Martje Tönjes, et al.. (2015). Phosphorylation of the chromatin remodeling factor DPF3a induces cardiac hypertrophy through releasing HEY repressors from DNA. Nucleic Acids Research. 44(6). 2538–2553. 32 indexed citations

Swindell, William R., Andrew Johnston, Liou Y. Sun, et al.. (2012). Meta-Profiles of Gene Expression during Aging: Limited Similarities between Mouse and Human and an Unexpectedly Decreased Inflammatory Signature. PLoS ONE. 7(3). e33204–e33204. 29 indexed citations

Masi, Federico De, Christian A Grove, Anastasia Vedenko, et al.. (2011). Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants. Nucleic Acids Research. 39(11). 4553–4563. 66 indexed citations

Wei, Gong‐Hong, Gwenaël Badis, Michael F. Berger, et al.. (2010). Genome-wide analysis of ETS-family DNA-binding in vitro and in vivo. The EMBO Journal. 29(13). 2147–2160. 433 indexed citations

10.

Santos, Miguel Ángel, Andrei L. Turinsky, Gwenaël Badis, et al.. (2010). Objective sequence-based subfamily classifications of mouse homeodomains reflect their in vitro DNA-binding preferences. Nucleic Acids Research. 38(22). 7927–7942. 2 indexed citations

11.

Iliopoulos, Dimitrios, Savina Jaeger, Heather A. Hirsch, Martha L. Bulyk, & Kevin Struhl. (2010). STAT3 Activation of miR-21 and miR-181b-1 via PTEN and CYLD Are Part of the Epigenetic Switch Linking Inflammation to Cancer. Molecular Cell. 39(4). 493–506. 709 indexed citations breakdown →

12.

Giorgetti, Luca, Trevor Siggers, Guido Tiana, et al.. (2010). Noncooperative Interactions between Transcription Factors and Clustered DNA Binding Sites Enable Graded Transcriptional Responses to Environmental Inputs. Molecular Cell. 37(3). 418–428. 134 indexed citations

13.

Grove, Christian A, Federico De Masi, M. Inmaculada Barrasa, et al.. (2009). A Multiparameter Network Reveals Extensive Divergence between C. elegans bHLH Transcription Factors. Cell. 138(2). 314–327. 205 indexed citations

14.

Scharer, Christopher D., et al.. (2009). Genome-Wide Promoter Analysis of the SOX4 Transcriptional Network in Prostate Cancer Cells. Cancer Research. 69(2). 709–717. 163 indexed citations

15.

Badis, Gwenaël, Michael F. Berger, Anthony Philippakis, et al.. (2009). Diversity and Complexity in DNA Recognition by Transcription Factors. Science. 324(5935). 1720–1723. 761 indexed citations breakdown →

16.

Lesch, Bluma J., Andrew R. Gehrke, Martha L. Bulyk, & Cornelia I. Bargmann. (2009). Transcriptional regulation and stabilization of left–right neuronal identity in C. elegans. Genes & Development. 23(3). 345–358. 41 indexed citations

17.

Gehrke, Andrew R., et al.. (2008). Specific DNA-binding by Apicomplexan AP2 transcription factors. Proceedings of the National Academy of Sciences. 105(24). 8393–8398. 186 indexed citations

18.

Newburger, Daniel E. & Martha L. Bulyk. (2008). UniPROBE: an online database of protein binding microarray data on protein-DNA interactions. Nucleic Acids Research. 37(Database). D77–D82. 284 indexed citations

19.

Philippakis, Anthony, Brian W. Busser, Stephen S. Gisselbrecht, et al.. (2006). Expression-Guided In Silico Evaluation of Candidate Cis Regulatory Codes for Drosophila Muscle Founder Cells. PLoS Computational Biology. 2(5). e53–e53. 59 indexed citations

20.

Bulyk, Martha L., Abigail L. Manson, Nobuhisa Masuda, & George M. Church. (2004). A Motif Co-Occurrence Approach for Genome-Wide Prediction of Transcription-Factor-Binding Sites inEscherichia coli. Genome Research. 14(2). 201–208. 46 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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