Timothy R. Abbott

1.3k total citations · 1 hit paper
6 papers, 873 citations indexed

About

Timothy R. Abbott is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Timothy R. Abbott has authored 6 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Timothy R. Abbott's work include CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (2 papers). Timothy R. Abbott is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (2 papers). Timothy R. Abbott collaborates with scholars based in United States and China. Timothy R. Abbott's co-authors include Lei S. Qi, Marie La Russa, Yanxia Liu, Haifeng Wang, Muneaki Nakamura, Dehua Zhao, Robert J. Debs, David B. Lewis, Steven A. Chmura and Drew Endy and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Timothy R. Abbott

6 papers receiving 855 citations

Hit Papers

align trajectories

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.

Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenza

2020 371 citations Timothy R. Abbott, Girija Dhamdhere 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
Timothy R. Abbott United States	6	737	173	105	68	68	6	873
Augustine Chemparathy United States	7	682 0.9×	184 1.1×	126 1.2×	49 0.7×	74 1.1×	10	820
Laine Goudy United States	5	478 0.6×	170 1.0×	91 0.9×	42 0.6×	58 0.9×	8	608
Marie Sondey United States	7	626 0.8×	112 0.6×	218 2.1×	15 0.2×	64 0.9×	10	806
Katarzyna M. Soczek United States	11	416 0.6×	165 1.0×	59 0.6×	29 0.4×	32 0.5×	13	582
Julia Fakhiri Germany	10	392 0.5×	59 0.3×	181 1.7×	17 0.3×	48 0.7×	13	485
Josh Tycko United States	12	839 1.1×	25 0.1×	255 2.4×	31 0.5×	74 1.1×	20	965
Klaus N. Lovendahl United States	7	435 0.6×	65 0.4×	134 1.3×	30 0.4×	16 0.2×	10	541
Siqi Hu China	13	412 0.6×	91 0.5×	59 0.6×	6 0.1×	31 0.5×	38	653
Anthony J. Garrity United States	4	521 0.7×	18 0.1×	63 0.6×	42 0.6×	54 0.8×	5	567
Connor A. Tsuchida United States	6	647 0.9×	15 0.1×	138 1.3×	89 1.3×	59 0.9×	6	749

Countries citing papers authored by Timothy R. Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Timothy R. Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy R. Abbott. 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 Timothy R. Abbott. The network helps show where Timothy R. Abbott may publish in the future.

Co-authorship network of co-authors of Timothy R. Abbott

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

All Works

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6 of 6 papers shown

1.

Abbott, Timothy R., Girija Dhamdhere, Yanxia Liu, et al.. (2020). Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenza. Cell. 181(4). 865–876.e12. 371 indexed citations breakdown →

2.

Nakamura, Muneaki, Prashanth Srinivasan, Michael Chavez, et al.. (2019). Anti-CRISPR-mediated control of gene editing and synthetic circuits in eukaryotic cells. Nature Communications. 10(1). 194–194. 111 indexed citations

3.

Wang, Haifeng, Muneaki Nakamura, Timothy R. Abbott, et al.. (2019). CRISPR-mediated live imaging of genome editing and transcription. Science. 365(6459). 1301–1305. 219 indexed citations

4.

Kipniss, Nathan H., P.C. Dave P. Dingal, Timothy R. Abbott, et al.. (2017). Engineering cell sensing and responses using a GPCR-coupled CRISPR-Cas system. Nature Communications. 8(1). 2212–2212. 79 indexed citations

5.

Takahashi, Melissa K., Kyle E. Watters, Paul M. Gasper, et al.. (2016). Using in-cell SHAPE-Seq and simulations to probe structure–function design principles of RNA transcriptional regulators. RNA. 22(6). 920–933. 29 indexed citations

6.

Watters, Kyle E., Timothy R. Abbott, & Julius B. Lucks. (2015). Simultaneous characterization of cellular RNA structure and function with in-cell SHAPE-Seq. Nucleic Acids Research. 44(2). e12–e12. 64 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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