Tim Racie

1.6k total citations
13 papers, 508 citations indexed

About

Tim Racie is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Tim Racie has authored 13 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Genetics. Recurrent topics in Tim Racie's work include RNA Interference and Gene Delivery (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and Iron Metabolism and Disorders (4 papers). Tim Racie is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and Iron Metabolism and Disorders (4 papers). Tim Racie collaborates with scholars based in United States, Slovenia and Netherlands. Tim Racie's co-authors include Paul J. Schmidt, Mark D. Fleming, Stuart Milstein, Julia Hettinger, Brian R. Bettencourt, Kevin Fitzgerald, Anoop K. Sendamarai, David Bumcrot, Iva Toudjarska and James S. Butler and has published in prestigious journals such as Nucleic Acids Research, Blood and Chemical Communications.

In The Last Decade

Tim Racie

13 papers receiving 502 citations

Peers

Tim Racie
Tim Racie
Citations per year, relative to Tim Racie Tim Racie (= 1×) peers Ana Sofia Gonçalves

Countries citing papers authored by Tim Racie

Since Specialization
Citations

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

Fields of papers citing papers by Tim Racie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Racie

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

All Works

13 of 13 papers shown
1.
Datta, Dhrubajyoti, Christopher R. Brown, Jason A. Gilbert, et al.. (2025). Expanding Conjugate Space of RNAi Therapeutics: Ligand at the 3′ End of the Antisense Strand Achieves Uncompromised In Vivo Potency and Efficacy and Reveals Interactions with the Argonaute-2 PAZ Domain. Journal of Medicinal Chemistry. 68(4). 4397–4409. 3 indexed citations
2.
Datta, Dhrubajyoti, Christopher S. Theile, June Qin, et al.. (2023). Rational optimization of siRNA to ensure strand bias in the interaction with the RNA-induced silencing complex. Chemical Communications. 59(42). 6347–6350. 5 indexed citations
3.
Podbevšek, Peter, Swati Gupta, Anna Bisbe, et al.. (2021). Small circular interfering RNAs (sciRNAs) as a potent therapeutic platform for gene-silencing. Nucleic Acids Research. 49(18). 10250–10264. 17 indexed citations
4.
Schmidt, Paul J., Kaifeng Liu, Gary Visner, et al.. (2018). RNAi‐mediated reduction of hepatic Tmprss6 diminishes anemia and secondary iron overload in a splenectomized mouse model of β‐thalassemia intermedia. American Journal of Hematology. 93(6). 745–750. 18 indexed citations
5.
Willoughby, Jennifer L. S., Amy Chan, Alfica Sehgal, et al.. (2017). Evaluation of GalNAc-siRNA Conjugate Activity in Pre-clinical Animal Models with Reduced Asialoglycoprotein Receptor Expression. Molecular Therapy. 26(1). 105–114. 86 indexed citations
6.
Chan, Amy, Abigail Liebow, Makiko Yasuda, et al.. (2015). Preclinical Development of a Subcutaneous ALAS1 RNAi Therapeutic for Treatment of Hepatic Porphyrias Using Circulating RNA Quantification. Molecular Therapy — Nucleic Acids. 4. e263–e263. 108 indexed citations
7.
Schmidt, Paul J., Tim Racie, Mark Westerman, et al.. (2015). Combination therapy with a Tmprss6RNAi‐therapeutic and the oral iron chelator deferiprone additively diminishes secondary iron overload in a mouse model of β‐thalassemia intermedia. American Journal of Hematology. 90(4). 310–313. 63 indexed citations
9.
Butler, James, Tim Racie, Julia Hettinger, et al.. (2013). Aln-TMP: A Subcutaneously Administered RNAi Therapeutic Targeting Tmprss6 For The Treatment Of β-Thalassemia. Blood. 122(21). 2260–2260. 4 indexed citations
10.
Akinc, Akin, Alfica Sehgal, Scott Barros, et al.. (2012). An RNAi Therapeutic Targeting Antithrombin Increases Thrombin Generation in Nonhuman Primates. Blood. 120(21). 3370–3370. 5 indexed citations
11.
Schmidt, Paul J., Iva Toudjarska, Anoop K. Sendamarai, et al.. (2012). An RNAi therapeutic targeting Tmprss6 decreases iron overload in Hfe−/− mice and ameliorates anemia and iron overload in murine β-thalassemia intermedia. Blood. 121(7). 1200–1208. 171 indexed citations
12.
Akinc, Akin, Alfica Sehgal, Don Foster, et al.. (2011). Targeting the Hepcidin Pathway with RNAi Therapeutics for the Treatment of Anemia. Blood. 118(21). 688–688. 24 indexed citations
13.
Toudjarska, Ivanka, Tim Racie, Julia Hettinger, et al.. (2011). RNAi-Mediated Inhibition of Activated Protein C- A New Approach for Hemophilia Treatment. Blood. 118(21). 1204–1204. 3 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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