Diego M. Presman

2.3k total citations
40 papers, 1.6k citations indexed

About

Diego M. Presman is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Diego M. Presman has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Genetics and 11 papers in Immunology. Recurrent topics in Diego M. Presman's work include Estrogen and related hormone effects (23 papers), Genomics and Chromatin Dynamics (15 papers) and RNA Research and Splicing (12 papers). Diego M. Presman is often cited by papers focused on Estrogen and related hormone effects (23 papers), Genomics and Chromatin Dynamics (15 papers) and RNA Research and Splicing (12 papers). Diego M. Presman collaborates with scholars based in United States, Argentina and Finland. Diego M. Presman's co-authors include Gordon L. Hager, Ville Paakinaho, Thomas A. Johnson, Tatiana Karpova, Adalı́ Pecci, Erin E. Swinstead, Valeria Levi, R. Louis Schiltz, Martín Stortz and David A. Ball and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Diego M. Presman

39 papers receiving 1.6k citations

Peers

Diego M. Presman
Ville Paakinaho Finland
Christopher T. Baumann United States
Christopher J. Caunt United Kingdom
Catharine L. Smith United States
Birgit Hoffmann Germany
Michael R. Hübner United States
Stéphan Jalaguier France
Anne Guiochon‐Mantel France
Martin Koš Germany
Heike Brand Germany
Ville Paakinaho Finland
Diego M. Presman
Citations per year, relative to Diego M. Presman Diego M. Presman (= 1×) peers Ville Paakinaho

Countries citing papers authored by Diego M. Presman

Since Specialization
Citations

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

Fields of papers citing papers by Diego M. Presman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego M. Presman. 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 Diego M. Presman. The network helps show where Diego M. Presman may publish in the future.

Co-authorship network of co-authors of Diego M. Presman

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

All Works

20 of 20 papers shown
1.
Johnson, Thomas A., Montserrat Abella, Sohyoung Kim, et al.. (2025). The multimerization pathway of the glucocorticoid receptor. Nucleic Acids Research. 53(19).
2.
Stortz, Martín, Diego M. Presman, & Valeria Levi. (2024). Transcriptional condensates: a blessing or a curse for gene regulation?. Communications Biology. 7(1). 187–187. 32 indexed citations
3.
Fettweis, Grégory, et al.. (2023). The mineralocorticoid receptor forms higher order oligomers upon DNA binding. Protein Science. 33(3). e4890–e4890. 8 indexed citations
4.
Fettweis, Grégory, Montserrat Abella, Rosa Antón, et al.. (2022). The multivalency of the glucocorticoid receptor ligand-binding domain explains its manifold physiological activities. Nucleic Acids Research. 50(22). 13063–13082. 19 indexed citations
5.
Stortz, Martín, et al.. (2022). SOX2 Modulates the Nuclear Organization and Transcriptional Activity of the Glucocorticoid Receptor. Journal of Molecular Biology. 434(24). 167869–167869. 8 indexed citations
6.
Garcia, David A., Grégory Fettweis, Diego M. Presman, et al.. (2021). Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model. Nucleic Acids Research. 49(12). 6605–6620. 80 indexed citations
7.
Garcia, David A., Thomas A. Johnson, Diego M. Presman, et al.. (2021). An intrinsically disordered region-mediated confinement state contributes to the dynamics and function of transcription factors. Molecular Cell. 81(7). 1484–1498.e6. 99 indexed citations
8.
Johnson, Thomas A., Ville Paakinaho, Sohyoung Kim, Gordon L. Hager, & Diego M. Presman. (2021). Genome-wide binding potential and regulatory activity of the glucocorticoid receptor’s monomeric and dimeric forms. Nature Communications. 12(1). 1987–1987. 46 indexed citations
9.
Paakinaho, Ville, Thomas A. Johnson, Diego M. Presman, & Gordon L. Hager. (2019). Glucocorticoid receptor quaternary structure drives chromatin occupancy and transcriptional outcome. Genome Research. 29(8). 1223–1234. 49 indexed citations
10.
Taves, Matthew D., Paul R. Mittelstadt, Diego M. Presman, Gordon L. Hager, & Jonathan D. Ashwell. (2019). Single-Cell Resolution and Quantitation of Targeted Glucocorticoid Delivery in the Thymus. Cell Reports. 26(13). 3629–3642.e4. 15 indexed citations
11.
Stavreva, Diana A., David A. Garcia, Grégory Fettweis, et al.. (2019). Transcriptional Bursting and Co-bursting Regulation by Steroid Hormone Release Pattern and Transcription Factor Mobility. Molecular Cell. 75(6). 1161–1177.e11. 89 indexed citations
12.
Paakinaho, Ville, Erin E. Swinstead, Diego M. Presman, Lars Grøntved, & Gordon L. Hager. (2019). Meta-analysis of Chromatin Programming by Steroid Receptors. Cell Reports. 28(13). 3523–3534.e2. 21 indexed citations
13.
Álvarez, Lautaro D., Diego M. Presman, & Adalı́ Pecci. (2017). Molecular dynamics simulations of the glucocorticoid receptor DNA-binding domain suggest a role of the lever-arm mobility in transcriptional output. PLoS ONE. 12(12). e0189588–e0189588. 4 indexed citations
14.
Presman, Diego M., David A. Ball, Ville Paakinaho, et al.. (2017). Quantifying transcription factor binding dynamics at the single-molecule level in live cells. Methods. 123. 76–88. 74 indexed citations
15.
Presman, Diego M. & Gordon L. Hager. (2016). More than meets the dimer: What is the quaternary structure of the glucocorticoid receptor?. Transcription. 8(1). 32–39. 43 indexed citations
16.
Swinstead, Erin E., Tina Branscombe Miranda, Ville Paakinaho, et al.. (2016). Steroid Receptors Reprogram FoxA1 Occupancy through Dynamic Chromatin Transitions. Cell. 165(3). 593–605. 221 indexed citations
17.
Goldstein, Ido, Songjoon Baek, Diego M. Presman, et al.. (2016). Transcription factor assisted loading and enhancer dynamics dictate the hepatic fasting response. Genome Research. 27(3). 427–439. 80 indexed citations
18.
Presman, Diego M., Valeria Levi, Omar P. Pignataro, & Adalı́ Pecci. (2011). Melatonin inhibits glucocorticoid-dependent GR–TIF2 interaction in newborn hamster kidney (BHK) cells. Molecular and Cellular Endocrinology. 349(2). 214–221. 6 indexed citations
19.
Presman, Diego M., Lautaro D. Álvarez, Valeria Levi, et al.. (2010). Insights on Glucocorticoid Receptor Activity Modulation through the Binding of Rigid Steroids. PLoS ONE. 5(10). e13279–e13279. 45 indexed citations
20.
Presman, Diego M., et al.. (2006). Melatonin Inhibits Glucocorticoid Receptor Nuclear Translocation in Mouse Thymocytes. Endocrinology. 147(11). 5452–5459. 44 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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