David A. Garcia

792 total citations
10 papers, 469 citations indexed

About

David A. Garcia is a scholar working on Molecular Biology, Nature and Landscape Conservation and Aquatic Science. According to data from OpenAlex, David A. Garcia has authored 10 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Nature and Landscape Conservation and 1 paper in Aquatic Science. Recurrent topics in David A. Garcia's work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (5 papers). David A. Garcia is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (5 papers). David A. Garcia collaborates with scholars based in United States, Denmark and Argentina. David A. Garcia's co-authors include Arpita Upadhyaya, Kaustubh Wagh, Gordon L. Hager, Diana A. Stavreva, Grégory Fettweis, Diego M. Presman, Ville Paakinaho, Thomas A. Johnson, Momoko Ishikawa and Christopher Jarzynski and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Science Advances.

In The Last Decade

David A. Garcia

10 papers receiving 468 citations

Peers

Countries citing papers authored by David A. Garcia

Since Specialization

Citations

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

Fields of papers citing papers by David A. Garcia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Garcia. 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 David A. Garcia. The network helps show where David A. Garcia may publish in the future.

Co-authorship network of co-authors of David A. Garcia

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	The glucocorticoid receptor associates with the cohesin loader NIPBL to promote long-range gene regulation 2022 ·Science Advances ·Lorenzo Rinaldi, Grégory Fettweis, Sohyoung Kim, David A. Garcia, Saori Fujiwara, Thomas A. Johnson, (unknown), Laurent Ozbun, Gianluca Pegoraro, Michele Puglia, Blagoy Blagoev, Arpita Upadhyaya, Diana A. Stavreva, Gordon L. Hager	30
2	Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model 2021 ·Nucleic Acids Research ·David A. Garcia, Grégory Fettweis, Diego M. Presman, Ville Paakinaho, Christopher Jarzynski, Arpita Upadhyaya, Gordon L. Hager	80
3	An intrinsically disordered region-mediated confinement state contributes to the dynamics and function of transcription factors 2021 ·Molecular Cell ·David A. Garcia, Thomas A. Johnson, Diego M. Presman, Grégory Fettweis, Kaustubh Wagh, Lorenzo Rinaldi, Diana A. Stavreva, Ville Paakinaho, (unknown), Susanne Mandrup, Arpita Upadhyaya, Gordon L. Hager	99
4	Phase separation in transcription factor dynamics and chromatin organization 2021 ·Current Opinion in Structural Biology ·Kaustubh Wagh, David A. Garcia, Arpita Upadhyaya	57
5	Mechanical Regulation of Transcription: Recent Advances 2021 ·Trends in Cell Biology ·Kaustubh Wagh, Momoko Ishikawa, David A. Garcia, Diana A. Stavreva, Arpita Upadhyaya, Gordon L. Hager	95
6	Transcriptional Bursting and Co-bursting Regulation by Steroid Hormone Release Pattern and Transcription Factor Mobility 2019 ·Molecular Cell ·Diana A. Stavreva, David A. Garcia, Grégory Fettweis, Prabhakar R. Gudla, George Zaki, Vikas Soni, (unknown), (unknown), Anh Huynh, Murali Palangat, R. Louis Schiltz, Thomas A. Johnson, Diego M. Presman, Matthew Ferguson, Gianluca Pegoraro, Arpita Upadhyaya, Gordon L. Hager	89
7	Biophysical Techniques to Study B Cell Activation: Single-Molecule Imaging and Force Measurements 2018 ·Methods in molecular biology ·(unknown), David A. Garcia, (unknown), Wenxia Song, Arpita Upadhyaya	4
8	Noise, Information and Fitness in Changing Environments 2018 ·Frontiers in Physics ·Juan Manuel Pedraza, David A. Garcia, (unknown)	2
9	Molecular systematics of the freshwater stingrays (myliobatiformes: potamotrygonidae) of the Amazon, Orinoco, Magdalena, Esequibo, Caribbean, and Maracaibo basins (Colombia – Venezuela): evidence from three mitochondrial genes 2015 ·Mitochondrial DNA Part A ·David A. Garcia, Carlos A. Lasso, (unknown), Susana Caballero	12
10	Prediction of Transcription Factor Binding Sites with PROMO v.3: Improving the Specificity of Weight Matrices and the Searching Process. 2004 ·Domènec Farré, David A. Garcia, M. Mar Albà, Xavier Messeguer	1

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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