Jacqueline C. Shultz

35 total papers · 513 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, Dayanjan S. Wijesinghe, Jerry W. Shay, John D. Minna, 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacqueline C. Shultz 355 91 42 26 24 8 400
Louis Philip Benoit Bouvrette 282 0.8× 78 0.9× 61 1.5× 18 0.7× 32 1.3× 13 372
Chuner Guo 363 1.0× 112 1.2× 34 0.8× 33 1.3× 14 0.6× 8 407
Liangqian Huang 265 0.7× 135 1.5× 40 1.0× 70 2.7× 37 1.5× 9 342
Maxine Fico Santoro 243 0.7× 83 0.9× 35 0.8× 32 1.2× 26 1.1× 7 341
Damien Ythier 296 0.8× 65 0.7× 22 0.5× 44 1.7× 31 1.3× 9 354
PJ Coffer 276 0.8× 48 0.5× 44 1.0× 56 2.2× 16 0.7× 6 345
Rishi Banerjee 318 0.9× 70 0.8× 42 1.0× 36 1.4× 19 0.8× 6 405
Roza Berhanu Lemma 268 0.8× 59 0.6× 47 1.1× 34 1.3× 20 0.8× 9 388
Jean-Pierre Rouault 297 0.8× 65 0.7× 37 0.9× 54 2.1× 12 0.5× 7 366
Janice M. Ascano 347 1.0× 87 1.0× 21 0.5× 69 2.7× 26 1.1× 6 424

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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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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