Jacqueline C. Shultz

519 total citations
8 papers, 400 citations indexed

About

Jacqueline C. Shultz is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacqueline C. Shultz has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Jacqueline C. Shultz's work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). Jacqueline C. Shultz is often cited by papers focused on RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). Jacqueline C. Shultz collaborates with scholars based in United States and Czechia. Jacqueline C. Shultz's co-authors include Charles E. Chalfant, Rachel W. Goehe, John D. Minna, Jerry W. Shay, Dayanjan S. Wijesinghe, Amy J. Hawkins, Margaret A. Park, Ngoc Vu, Michael D. Shultz and Davis Massey and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Cancer Research.

In The Last Decade

Jacqueline C. Shultz

8 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacqueline C. Shultz United States	8	355	91	42	26	24	8	400
Heegyum Moon South Korea	13	360 1.0×	74 0.8×	28 0.7×	23 0.9×	23 1.0×	27	407
Autumn Massiello United States	6	549 1.5×	84 0.9×	57 1.4×	22 0.8×	38 1.6×	6	581
Louis Philip Benoit Bouvrette Canada	9	283 0.8×	78 0.9×	62 1.5×	18 0.7×	32 1.3×	13	373
Zheng Meng United States	13	323 0.9×	105 1.2×	35 0.8×	37 1.4×	28 1.2×	21	403
Yu Shen China	7	198 0.6×	61 0.7×	35 0.8×	30 1.2×	18 0.8×	9	257
Yue Du China	10	299 0.8×	153 1.7×	40 1.0×	59 2.3×	25 1.0×	15	355
Myriam Ruault France	13	412 1.2×	39 0.4×	35 0.8×	18 0.7×	21 0.9×	20	464
PJ Coffer Netherlands	5	276 0.8×	48 0.5×	44 1.0×	56 2.2×	16 0.7×	6	345
Maria Baou United Kingdom	7	226 0.6×	59 0.6×	67 1.6×	39 1.5×	14 0.6×	10	309
Subhash Thalappilly Canada	12	267 0.8×	63 0.7×	23 0.5×	41 1.6×	37 1.5×	15	328

Countries citing papers authored by Jacqueline C. Shultz

Since Specialization

Citations

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

Fields of papers citing papers by Jacqueline C. Shultz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline C. Shultz. 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 Jacqueline C. Shultz. The network helps show where Jacqueline C. Shultz may publish in the future.

Co-authorship network of co-authors of Jacqueline C. Shultz

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

All Works

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8 of 8 papers shown

Vu, Ngoc, Michael D. Shultz, Jacqueline C. Shultz, et al.. (2016). Melanoma Differentiation-associated Gene 7/IL-24 Exerts Cytotoxic Effects by Altering the Alternative Splicing of Bcl-x Pre-mRNA via the SRC/PKCδ Signaling Axis. Journal of Biological Chemistry. 291(41). 21669–21681. 12 indexed citations

Barbour, Suzanne E., Phuong T. K. Nguyen, Xiaoyong Lei, et al.. (2015). Group VIA Phospholipase A2 (iPLA2β) Modulates Bcl-x 5′-Splice Site Selection and Suppresses Anti-apoptotic Bcl-x(L) in β-Cells. Journal of Biological Chemistry. 290(17). 11021–11031. 13 indexed citations

Vu, Ngoc, Margaret A. Park, Jacqueline C. Shultz, et al.. (2013). hnRNP U Enhances Caspase-9 Splicing and Is Modulated by AKT-dependent Phosphorylation of hnRNP L. Journal of Biological Chemistry. 288(12). 8575–8584. 64 indexed citations

Shultz, Jacqueline C., et al.. (2012). The Proto-oncogene PKCι Regulates the Alternative Splicing of Bcl-x Pre-mRNA. Molecular Cancer Research. 10(5). 660–669. 25 indexed citations

Shultz, Jacqueline C., Rachel W. Goehe, Dayanjan S. Wijesinghe, et al.. (2011). SRSF1 Regulates the Alternative Splicing of Caspase 9 Via A Novel Intronic Splicing Enhancer Affecting the Chemotherapeutic Sensitivity of Non–Small Cell Lung Cancer Cells. Molecular Cancer Research. 9(7). 889–900. 73 indexed citations

Shultz, Jacqueline C. & Charles E. Chalfant. (2011). Caspase 9b: a new target for therapy in non-small-cell lung cancer. Expert Review of Anticancer Therapy. 11(4). 499–502. 9 indexed citations

Shultz, Jacqueline C., Rachel W. Goehe, Dayanjan S. Wijesinghe, et al.. (2010). Alternative Splicing of Caspase 9 Is Modulated by the Phosphoinositide 3-Kinase/Akt Pathway via Phosphorylation of SRp30a. Cancer Research. 70(22). 9185–9196. 109 indexed citations

Goehe, Rachel W., Jacqueline C. Shultz, Nadia F. Lamour, et al.. (2010). hnRNP L regulates the tumorigenic capacity of lung cancer xenografts in mice via caspase-9 pre-mRNA processing. Journal of Clinical Investigation. 120(11). 3923–3939. 95 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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