Tammy T. Woo

1.8k total citations
9 papers, 1.5k citations indexed

About

Tammy T. Woo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Tammy T. Woo has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Tammy T. Woo's work include Photoreceptor and optogenetics research (4 papers), Retinal Development and Disorders (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Tammy T. Woo is often cited by papers focused on Photoreceptor and optogenetics research (4 papers), Retinal Development and Disorders (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Tammy T. Woo collaborates with scholars based in United States and Germany. Tammy T. Woo's co-authors include John A. Tainer, Karl‐Peter Hopfner, James P. Carney, Annette Kärcher, Lisa Craig, Averil Ma, Rommel Advincula, Erwan Mortier, Elizabeth D. Getzoff and Ronald Brudler and has published in prestigious journals such as Nature, Cell and The Journal of Experimental Medicine.

In The Last Decade

Tammy T. Woo

9 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tammy T. Woo United States 9 954 491 282 205 204 9 1.5k
Laura Silvian United States 18 1.0k 1.1× 201 0.4× 138 0.5× 130 0.6× 138 0.7× 31 1.4k
Hiroaki Terasawa Japan 22 1.1k 1.1× 413 0.8× 262 0.9× 95 0.5× 113 0.6× 45 1.7k
Anuradha S. Raghavan United States 12 1.0k 1.1× 223 0.5× 234 0.8× 91 0.4× 95 0.5× 15 1.4k
Borlan Pan United States 15 1.2k 1.2× 404 0.8× 311 1.1× 34 0.2× 199 1.0× 23 1.6k
Krista K. Bowman United States 10 929 1.0× 171 0.3× 316 1.1× 122 0.6× 157 0.8× 14 1.2k
Alexandre M. Carmo Portugal 25 765 0.8× 626 1.3× 224 0.8× 133 0.6× 64 0.3× 46 1.5k
S.L. Schreiber United States 15 1.7k 1.8× 463 0.9× 420 1.5× 94 0.5× 99 0.5× 19 2.1k
Dorothea Reilly United States 20 1.2k 1.3× 292 0.6× 415 1.5× 108 0.5× 35 0.2× 28 1.7k
Russell Bell United States 19 1.1k 1.2× 133 0.3× 199 0.7× 85 0.4× 140 0.7× 29 1.7k
Christopher C. Valley United States 17 771 0.8× 185 0.4× 265 0.9× 67 0.3× 90 0.4× 20 1.2k

Countries citing papers authored by Tammy T. Woo

Since Specialization
Citations

This map shows the geographic impact of Tammy T. Woo'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 Tammy T. Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tammy T. Woo more than expected).

Fields of papers citing papers by Tammy T. Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tammy T. Woo. 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 Tammy T. Woo. The network helps show where Tammy T. Woo may publish in the future.

Co-authorship network of co-authors of Tammy T. Woo

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

All Works

9 of 9 papers shown
2.
Oshima, Shigeru, Emre E. Turer, Sophia Chai, et al.. (2008). ABIN-1 is a ubiquitin sensor that restricts cell death and sustains embryonic development. Nature. 457(7231). 906–909. 135 indexed citations
3.
Mortier, Erwan, et al.. (2008). IL-15Rα chaperones IL-15 to stable dendritic cell membrane complexes that activate NK cells via trans presentation. The Journal of Experimental Medicine. 205(5). 1213–1225. 239 indexed citations
4.
Daniels, Douglas S., Tammy T. Woo, David M. Noll, et al.. (2004). DNA binding and nucleotide flipping by the human DNA repair protein AGT. Nature Structural & Molecular Biology. 11(8). 714–720. 245 indexed citations
5.
Brudler, Ronald, Robin Rammelsberg, Tammy T. Woo, Elizabeth D. Getzoff, & Klaus Gerwert. (2001). Structure of the I1 early intermediate of photoactive yellow protein by FTIR spectroscopy.. Nature Structural Biology. 8(3). 265–270. 133 indexed citations
6.
Hopfner, Karl‐Peter, Annette Kärcher, Lisa Craig, et al.. (2001). Structural Biochemistry and Interaction Architecture of the DNA Double-Strand Break Repair Mre11 Nuclease and Rad50-ATPase. Cell. 105(4). 473–485. 417 indexed citations
7.
Demchuk, Eugene, Ulrich K. Genick, Tammy T. Woo, Elizabeth D. Getzoff, & Donald Bashford. (2000). Protonation States and pH Titration in the Photocycle of Photoactive Yellow Protein. Biochemistry. 39(5). 1100–1113. 46 indexed citations
8.
Brudler, Ronald, Ulrich K. Genick, Savitha Devanathan, et al.. (2000). Coupling of Hydrogen Bonding to Chromophore Conformation and Function in Photoactive Yellow Protein. Biochemistry. 39(44). 13478–13486. 62 indexed citations
9.
Devanathan, Savitha, Ronald Brudler, Tammy T. Woo, et al.. (1999). Dual Photoactive Species in Glu46Asp and Glu46Ala Mutants of Photoactive Yellow Protein:  A pH-Driven Color Transition. Biochemistry. 38(41). 13766–13772. 25 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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