Tim Formosa

5.0k total citations
64 papers, 4.0k citations indexed

About

Tim Formosa is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Tim Formosa has authored 64 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Ecology. Recurrent topics in Tim Formosa's work include Genomics and Chromatin Dynamics (38 papers), DNA Repair Mechanisms (29 papers) and RNA Research and Splicing (18 papers). Tim Formosa is often cited by papers focused on Genomics and Chromatin Dynamics (38 papers), DNA Repair Mechanisms (29 papers) and RNA Research and Splicing (18 papers). Tim Formosa collaborates with scholars based in United States, Russia and Germany. Tim Formosa's co-authors include Bruce Alberts, Jacqueline Wittmeyer, Christopher P. Hill, Laura McCullough, David J. Stillman, Frank G. Whitby, Susan Ruone, Thalia Nittis, Xin Hua and Howard Robinson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tim Formosa

64 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Formosa United States 40 3.9k 573 360 293 237 64 4.0k
David Kowalski United States 29 2.3k 0.6× 525 0.9× 381 1.1× 136 0.5× 193 0.8× 50 2.5k
Hisao Masukata Japan 27 2.5k 0.6× 722 1.3× 733 2.0× 423 1.4× 167 0.7× 45 2.7k
Katsura Asano United States 33 2.9k 0.7× 318 0.6× 172 0.5× 237 0.8× 109 0.5× 62 3.1k
Hideaki Tagami Japan 25 3.4k 0.9× 670 1.2× 721 2.0× 294 1.0× 111 0.5× 31 3.8k
Christian Speck United Kingdom 28 2.7k 0.7× 942 1.6× 136 0.4× 355 1.2× 113 0.5× 46 2.9k
Paul A. Fisher United States 36 3.2k 0.8× 461 0.8× 296 0.8× 527 1.8× 127 0.5× 86 3.5k
Sarah L. French United States 25 2.4k 0.6× 482 0.8× 196 0.5× 123 0.4× 164 0.7× 36 2.6k
Ann L. Beyer United States 35 4.4k 1.1× 347 0.6× 402 1.1× 104 0.4× 73 0.3× 74 4.7k
Mario Halić Germany 23 1.9k 0.5× 438 0.8× 266 0.7× 173 0.6× 150 0.6× 36 2.2k
Jacob Z. Dalgaard United Kingdom 24 1.8k 0.5× 373 0.7× 190 0.5× 252 0.9× 208 0.9× 41 1.9k

Countries citing papers authored by Tim Formosa

Since Specialization
Citations

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

Fields of papers citing papers by Tim Formosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Formosa

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Formosa. A scholar is included among the top collaborators of Tim Formosa 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 Tim Formosa. Tim Formosa 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.
Valieva, Maria E., Laura McCullough, Tim Formosa, et al.. (2022). Electron microscopy analysis of ATP-independent nucleosome unfolding by FACT. Communications Biology. 5(1). 2–2. 18 indexed citations
2.
Pippitt, Karly, Kathryn B. Moore, Janet E. Lindsley, et al.. (2022). Assessment for Learning with Ungraded and Graded Assessments. Medical Science Educator. 32(5). 1045–1054. 2 indexed citations
3.
Parnell, Timothy J., et al.. (2021). The interaction between the Spt6-tSH2 domain and Rpb1 affects multiple functions of RNA Polymerase II. Nucleic Acids Research. 50(2). 784–802. 5 indexed citations
4.
Chun, Yujin, Yoo Jin Joo, Hyunsuk Suh, et al.. (2019). Selective Kinase Inhibition Shows That Bur1 (Cdk9) Phosphorylates the Rpb1 Linker In Vivo. Molecular and Cellular Biology. 39(15). 19 indexed citations
5.
6.
McCullough, Laura, Xin Hua, Vasily M. Studitsky, et al.. (2018). Functional roles of the DNA-binding HMGB domain in the histone chaperone FACT in nucleosome reorganization. Journal of Biological Chemistry. 293(16). 6121–6133. 38 indexed citations
7.
Formosa, Tim, et al.. (2018). FACT Inhibition Blocks Induction But Not Maintenance of Pluripotency. Stem Cells and Development. 27(24). 1693–1701. 22 indexed citations
8.
Lee, Chul‐Hwan, et al.. (2014). Rad52/Rad59-dependent Recombination as a Means to Rectify Faulty Okazaki Fragment Processing. Journal of Biological Chemistry. 289(21). 15064–15079. 18 indexed citations
9.
Stadtmueller, Beth M., Erik Kish‐Trier, Katherine Ferrell, et al.. (2012). Structure of a Proteasome Pba1-Pba2 Complex. Journal of Biological Chemistry. 287(44). 37371–37382. 50 indexed citations
10.
Sadre-Bazzaz, Kianoush, Frank G. Whitby, Howard Robinson, Tim Formosa, & Christopher P. Hill. (2010). Structure of a Blm10 Complex Reveals Common Mechanisms for Proteasome Binding and Gate Opening. Molecular Cell. 37(5). 728–735. 123 indexed citations
11.
Close, Devin, et al.. (2010). Structure and Biological Importance of the Spn1-Spt6 Interaction, and Its Regulatory Role in Nucleosome Binding. Molecular Cell. 40(5). 725–735. 63 indexed citations
12.
Hua, Xin, et al.. (2009). yFACT Induces Global Accessibility of Nucleosomal DNA without H2A-H2B Displacement. Molecular Cell. 35(3). 365–376. 143 indexed citations
13.
Formosa, Tim. (2008). FACT and the reorganized nucleosome. Molecular BioSystems. 4(11). 1085–1093. 52 indexed citations
14.
Ruone, Susan, et al.. (2003). Multiple Nhp6 Molecules Are Required to Recruit Spt16-Pob3 to Form yFACT Complexes and to Reorganize Nucleosomes. Journal of Biological Chemistry. 278(46). 45288–45295. 72 indexed citations
15.
Formosa, Tim, Susan Ruone, Melissa D. Adams, et al.. (2002). Defects in SPT16 or POB3 (yFACT) in saccharomyces cerevisiae cause dependence on the \nHir/Hpc pathway: Polymerase passage may degrade chromatin structure. eScholarship (California Digital Library). 4 indexed citations
16.
Formosa, Tim. (2001). Spt16-Pob3 and the HMG protein Nhp6 combine to form the nucleosome-binding factor SPN. The EMBO Journal. 20(13). 3506–3517. 222 indexed citations
17.
Wittmeyer, Jacqueline & Tim Formosa. (1997). The Saccharomyces cerevisiae DNA Polymerase α Catalytic Subunit Interacts with Cdc68/Spt16 and with Pob3, a Protein Similar to an HMG1-Like Protein. Molecular and Cellular Biology. 17(7). 4178–4190. 183 indexed citations
18.
Singer, Jeffrey D., Bernadette M. Manning, & Tim Formosa. (1996). Coordinating DNA Replication To Produce One Copy of the Genome Requires Genes That Act in Ubiquitin Metabolism. Molecular and Cellular Biology. 16(4). 1356–1366. 29 indexed citations
19.
Formosa, Tim, et al.. (1992). Evidence that POB1, a Saccharomyces cerevisiae Protein That Binds to DNA Polymerase a, Acts in DNA Metabolism In Vivo. Molecular and Cellular Biology. 12(12). 5724–5735. 88 indexed citations
20.
Formosa, Tim, J. Marshall Barry, Bruce Alberts, & Jack Greenblatt. (1991). [3] Using protein affinity chromatography to probe structure of protein machines. Methods in enzymology on CD-ROM/Methods in enzymology. 208. 24–45. 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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