Kimberly L. Mowry

3.3k total citations
50 papers, 2.7k citations indexed

About

Kimberly L. Mowry is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Kimberly L. Mowry has authored 50 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Biophysics. Recurrent topics in Kimberly L. Mowry's work include RNA Research and Splicing (34 papers), RNA modifications and cancer (20 papers) and RNA and protein synthesis mechanisms (18 papers). Kimberly L. Mowry is often cited by papers focused on RNA Research and Splicing (34 papers), RNA modifications and cancer (20 papers) and RNA and protein synthesis mechanisms (18 papers). Kimberly L. Mowry collaborates with scholars based in United States, France and India. Kimberly L. Mowry's co-authors include Joan A. Steitz, Colette Côté, Tracy L. Kress, Douglas A. Melton, Mary Lou King, Young J. Yoon, James M. Denegre, Timothy J. Messitt, Denise Gautreau and James A. Gagnon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kimberly L. Mowry

49 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly L. Mowry United States 27 2.3k 305 276 198 196 50 2.7k
Lynda K. Doolittle United States 13 1.4k 0.6× 217 0.7× 551 2.0× 117 0.6× 333 1.7× 17 2.3k
Michael F. Trendelenburg Germany 28 2.3k 1.0× 389 1.3× 267 1.0× 341 1.7× 163 0.8× 84 2.8k
Ulrich Scheer Germany 39 3.8k 1.7× 560 1.8× 571 2.1× 502 2.5× 178 0.9× 82 4.5k
Janet Iwasa United States 18 1.8k 0.8× 275 0.9× 550 2.0× 217 1.1× 35 0.2× 47 2.4k
Bertil Daneholt Sweden 41 4.7k 2.0× 658 2.2× 423 1.5× 505 2.6× 262 1.3× 120 5.5k
Peter Hausen Germany 34 3.1k 1.3× 526 1.7× 735 2.7× 244 1.2× 183 0.9× 73 3.9k
Mary Morphew United States 29 2.1k 0.9× 171 0.6× 1.6k 5.9× 349 1.8× 124 0.6× 49 3.1k
Petr Kaláb United States 30 2.5k 1.1× 289 0.9× 1.5k 5.3× 294 1.5× 1.1k 5.8× 67 3.9k
Helen R. Dawe United Kingdom 18 1.2k 0.5× 869 2.8× 667 2.4× 74 0.4× 170 0.9× 21 1.9k
Esa Kuismanen Finland 28 1.4k 0.6× 172 0.6× 1.0k 3.8× 166 0.8× 266 1.4× 41 2.6k

Countries citing papers authored by Kimberly L. Mowry

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly L. Mowry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly L. Mowry. 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 Kimberly L. Mowry. The network helps show where Kimberly L. Mowry may publish in the future.

Co-authorship network of co-authors of Kimberly L. Mowry

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly L. Mowry. A scholar is included among the top collaborators of Kimberly L. Mowry 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 Kimberly L. Mowry. Kimberly L. Mowry 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.
Otis, Jessica P. & Kimberly L. Mowry. (2023). Hitting the mark: Localization of mRNA and biomolecular condensates in health and disease. Wiley Interdisciplinary Reviews - RNA. 14(6). e1807–e1807. 4 indexed citations
2.
Mowry, Kimberly L.. (2020). Using theXenopusOocyte Toolbox. Cold Spring Harbor Protocols. 2020(4). pdb.top095844–pdb.top095844. 9 indexed citations
3.
Mowry, Kimberly L., et al.. (2020). Organizing the oocyte: RNA localization meets phase separation. Current topics in developmental biology. 140. 87–118. 12 indexed citations
4.
Sandstede, Björn, et al.. (2018). Modeling Microtubule-Based Transport and Anchoring of mRNA. SIAM Journal on Applied Dynamical Systems. 17(4). 2855–2881. 8 indexed citations
5.
Mowry, Kimberly L., et al.. (2018). Whole-Mount Immunofluorescence for Visualizing Endogenous Protein and Injected RNA in Xenopus Oocytes. Cold Spring Harbor Protocols. 2018(10). pdb.prot097022–pdb.prot097022. 2 indexed citations
6.
Neil, Christopher R. & Kimberly L. Mowry. (2018). Fluorescence In Situ Hybridization of Cryosectioned Xenopus Oocytes. Cold Spring Harbor Protocols. 2018(5). pdb.prot097030–pdb.prot097030. 2 indexed citations
7.
Kreiling, Jill A., et al.. (2017). Analysis of Active Transport by Fluorescence Recovery after Photobleaching. Biophysical Journal. 112(8). 1714–1725. 15 indexed citations
8.
Mowry, Kimberly L., et al.. (2012). Taking a cellular road-trip: mRNA transport and anchoring. Current Opinion in Cell Biology. 25(1). 99–106. 29 indexed citations
9.
Gagnon, James A. & Kimberly L. Mowry. (2009). VISIONS: the art of science. Molecular Reproduction and Development. 76(12). 1115–1115. 1 indexed citations
10.
Lewis, R. & Kimberly L. Mowry. (2007). Ribonucleoprotein remodeling during RNA localization. Differentiation. 75(6). 507–518. 25 indexed citations
11.
King, Mary Lou, Timothy J. Messitt, & Kimberly L. Mowry. (2005). Putting RNAs in the right place at the right time: RNA localization in the frog oocyte. Biology of the Cell. 97(1). 19–33. 203 indexed citations
12.
Kress, Tracy L., Young J. Yoon, & Kimberly L. Mowry. (2004). Nuclear RNP complex assembly initiates cytoplasmic RNA localization. The Journal of Cell Biology. 165(2). 203–211. 95 indexed citations
13.
Yoon, Young J. & Kimberly L. Mowry. (2004). XenopusStaufen is a component of a ribonucleoprotein complex containing Vg1 RNA and kinesin. Development. 131(13). 3035–3045. 108 indexed citations
14.
Chang, Patrick, et al.. (2004). Localization of RNAs to the Mitochondrial Cloud in Xenopus Oocytes through Entrapment and Association with Endoplasmic Reticulum. Molecular Biology of the Cell. 15(10). 4669–4681. 137 indexed citations
15.
Lewis, R., et al.. (2003). Conserved and clustered RNA recognition sequences are a critical feature of signals directing RNA localization in Xenopus oocytes. Mechanisms of Development. 121(1). 101–109. 47 indexed citations
16.
Valles, J. M., et al.. (2002). Processes That Occur before Second Cleavage Determine Third Cleavage Orientation in Xenopus. Experimental Cell Research. 274(1). 112–118. 16 indexed citations
17.
Bubunenko, Mikhail, Tracy L. Kress, Uma D. Vempati, Kimberly L. Mowry, & Mary Lou King. (2002). A Consensus RNA Signal That Directs Germ Layer Determinants to the Vegetal Cortex of Xenopus Oocytes. Developmental Biology. 248(1). 82–92. 60 indexed citations
18.
Denegre, James M., E. Ludwig, & Kimberly L. Mowry. (1997). Localized Maternal Proteins inXenopusRevealed by Subtractive Immunization. Developmental Biology. 192(2). 446–454. 15 indexed citations
19.
Mowry, Kimberly L. & Joan A. Steitz. (1988). snRNP mediators of 3′ end processing: functional fossils?. Trends in Biochemical Sciences. 13(11). 447–451. 34 indexed citations
20.
Mowry, Kimberly L. & Joan A. Steitz. (1987). Both conserved signals on mammalian histone pre-mRNAs associate with small nuclear ribonucleoproteins during 3' end formation in vitro.. Molecular and Cellular Biology. 7(5). 1663–1672. 68 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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