Daniel Shaughnessy

660 total citations
9 papers, 250 citations indexed

About

Daniel Shaughnessy is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Daniel Shaughnessy has authored 9 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Daniel Shaughnessy's work include Meta-analysis and systematic reviews (1 paper), Advanced Breast Cancer Therapies (1 paper) and Bacteriophages and microbial interactions (1 paper). Daniel Shaughnessy is often cited by papers focused on Meta-analysis and systematic reviews (1 paper), Advanced Breast Cancer Therapies (1 paper) and Bacteriophages and microbial interactions (1 paper). Daniel Shaughnessy collaborates with scholars based in United States and Sri Lanka. Daniel Shaughnessy's co-authors include Tianjing Li, Riaz Qureshı, Karen A. Robinson, Yuri I. Wolf, Francisco F. Roberto, Benjamin Bolduc, Mark Young, Eugene V. Koonin, Janeen H. Trembley and Khalil Ahmed and has published in prestigious journals such as Journal of Virology, American Journal of Ophthalmology and Oncotarget.

In The Last Decade

Daniel Shaughnessy

6 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Shaughnessy United States 5 93 79 56 43 37 9 250
Daniel Quest United States 7 200 2.2× 50 0.6× 23 0.4× 19 0.4× 36 1.0× 19 336
Tiago Lubiana Brazil 7 121 1.3× 12 0.2× 16 0.3× 37 0.9× 24 0.6× 16 210
J. Harry Caufield United States 13 223 2.4× 38 0.5× 3 0.1× 74 1.7× 25 0.7× 31 360
Michael Foss Germany 6 83 0.9× 35 0.4× 30 0.5× 21 0.5× 6 0.2× 22 313
Hong‐Li Hua China 10 205 2.2× 33 0.4× 2 0.0× 10 0.2× 17 0.5× 18 306
Gregory M. Goldgof United States 8 113 1.2× 20 0.3× 10 0.2× 18 0.4× 14 0.4× 10 353
Regine Kollek Germany 17 355 3.8× 42 0.5× 3 0.1× 5 0.1× 59 1.6× 40 655
Geoffrey Siwo United States 9 91 1.0× 15 0.2× 8 0.1× 16 0.4× 6 0.2× 22 236
Roger Kramer United States 7 187 2.0× 9 0.1× 2 0.0× 14 0.3× 29 0.8× 9 342
Javier Pérez-Florido Spain 9 148 1.6× 54 0.7× 1 0.0× 32 0.7× 11 0.3× 31 279

Countries citing papers authored by Daniel Shaughnessy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shaughnessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Shaughnessy

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

All Works

9 of 9 papers shown
1.
Li, Tianjing, Evan Mayo‐Wilson, Daniel Shaughnessy, & Riaz Qureshı. (2024). Studying harms of interventions with an equity lens in randomized trials. Trials. 25(1). 403–403.
2.
Liu, Su‐Hsun, Daniel Shaughnessy, Alison G. Abraham, et al.. (2024). Social Determinants of Dry Eye in the United States: A Systematic Review. American Journal of Ophthalmology. 261. 36–53. 2 indexed citations
3.
Qureshı, Riaz, et al.. (2023). Are ChatGPT and large language models “the answer” to bringing us closer to systematic review automation?. Systematic Reviews. 12(1). 72–72. 110 indexed citations
4.
Ahmed, Rehana L., Daniel Shaughnessy, Todd P. Knutson, et al.. (2019). CDK11 Loss Induces Cell Cycle Dysfunction and Death of BRAF and NRAS Melanoma Cells. Pharmaceuticals. 12(2). 50–50. 14 indexed citations
5.
Trembley, Janeen H., Betsy T. Kren, Md. Joynal Abedin, et al.. (2019). CK2 Pro-Survival Role in Prostate Cancer Is Mediated via Maintenance and Promotion of Androgen Receptor and NFκB p65 Expression. Pharmaceuticals. 12(2). 89–89. 15 indexed citations
6.
Shaughnessy, Daniel, et al.. (2019). Time to thrombectomy is associated with increased risk for dialysis catheter placement. Journal of Renal Care. 45(4). 232–238.
7.
Ahmed, Khalil, Betsy T. Kren, Md. Joynal Abedin, et al.. (2016). CK2 targeted RNAi therapeutic delivered via malignant cell-directed tenfibgen nanocapsule: dose and molecular mechanisms of response in xenograft prostate tumors. Oncotarget. 7(38). 61789–61805. 15 indexed citations
8.
Balshaw, David M., Caroline Dilworth, Kimberly A. Gray, et al.. (2015). The Children's Health Exposure Analysis Resource. ISEE Conference Abstracts. 2015(1). 1 indexed citations
9.
Bolduc, Benjamin, Daniel Shaughnessy, Yuri I. Wolf, et al.. (2012). Identification of Novel Positive-Strand RNA Viruses by Metagenomic Analysis of Archaea-Dominated Yellowstone Hot Springs. Journal of Virology. 86(10). 5562–5573. 93 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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