Caitlin Connelly

5.5k total citations
26 papers, 1.2k citations indexed

About

Caitlin Connelly is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Caitlin Connelly has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Caitlin Connelly's work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (5 papers) and RNA modifications and cancer (5 papers). Caitlin Connelly is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (5 papers) and RNA modifications and cancer (5 papers). Caitlin Connelly collaborates with scholars based in United States, Germany and Russia. Caitlin Connelly's co-authors include Joshua M. Akey, Garrett M. Frampton, Jennifer Madeoy, Aaron K. Wong, Dayna T. Akey, Alison L. Ruhe, Mark W. Neff, Thomas J. Nicholas, Justin Y. Newberg and Erica A. Golemis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Caitlin Connelly

25 papers receiving 1.2k citations

Peers

Caitlin Connelly

ONCOL

GENET

PFM

Ewa P. Malc United States

Lihuan Cao China

Christof Schneider Germany

Uwe Werling United States

Z. Runlin China

Seth Frietze United States

Rachele Antonacci Italy

Filippo Randazzo United States

Celina Cziepluch Germany

Peter B. Dallas Australia

Ewa P. Malc United States

Caitlin Connelly

1.5k ×3.0

199 ×0.5

ONCOL

299 ×1.0

GENET

507 ×2.4

127 ×0.7

PFM

Citations per year, relative to Caitlin Connelly Caitlin Connelly (= 1×) peers Ewa P. Malc

Countries citing papers authored by Caitlin Connelly

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin Connelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin Connelly

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

All Works

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20 of 20 papers shown

Lin, Karin, Rejani B. Kunjamma, Holly M. Robb, et al.. (2025). Chronic integrated stress response causes dysregulated cholesterol synthesis in white matter disease. JCI Insight. 10(16).

Rodríguez, L. Raposo, Soon Yew Tang, Aditi Murthy, et al.. (2023). PGF2α signaling drives fibrotic remodeling and fibroblast population dynamics in mice. JCI Insight. 8(24). 6 indexed citations

Maurano, Megan, Jessica M. Snyder, Caitlin Connelly, et al.. (2021). Protein kinase R and the integrated stress response drive immunopathology caused by mutations in the RNA deaminase ADAR1. Immunity. 54(9). 1948–1960.e5. 86 indexed citations

Lieu, Christopher H., Erica A. Golemis, Ilya G. Serebriiskii, et al.. (2019). Comprehensive Genomic Landscapes in Early and Later Onset Colorectal Cancer. Clinical Cancer Research. 25(19). 5852–5858. 135 indexed citations

Newberg, Justin Y., Caitlin Connelly, & Garrett M. Frampton. (2019). Abstract 1599: Determining patient ancestry based on targeted tumor comprehensive genomic profiling. Cancer Research. 79(13_Supplement). 1599–1599. 17 indexed citations

Serebriiskii, Ilya G., Caitlin Connelly, Garrett M. Frampton, et al.. (2019). Comprehensive characterization of RAS mutations in colon and rectal cancers in old and young patients. Nature Communications. 10(1). 3722–3722. 149 indexed citations

Newberg, Justin Y., Caitlin Connelly, & Garrett M. Frampton. (2019). Abstract 1599: Determining patient ancestry based on targeted tumor comprehensive genomic profiling. Epidemiology. 1599–1599. 4 indexed citations

Goodman, Aaron M., David Piccioni, Shumei Kato, et al.. (2018). Prevalence ofPDL1Amplification and Preliminary Response to Immune Checkpoint Blockade in Solid Tumors. JAMA Oncology. 4(9). 1237–1237. 194 indexed citations

Ichikawa, Yuichi, Caitlin Connelly, Thomas C. R. Miller, et al.. (2017). A synthetic biology approach to probing nucleosome symmetry. eLife. 6. 18 indexed citations

10.

Gupta, Anika, Caitlin Connelly, Garrett M. Frampton, et al.. (2017). P2.03b-068 The Druggable Mutation Landscape of Lung Adenocarcinoma. Journal of Thoracic Oncology. 12(1). S977–S977. 5 indexed citations

11.

Chung, Christine H., Garrett M. Frampton, Zachary R. Chalmers, et al.. (2017). Genomic profiling of squamous malignancies across anatomic sites.. Journal of Clinical Oncology. 35(15_suppl). 11512–11512. 3 indexed citations

12.

Capasso, Anna, Todd M. Pitts, John J. Tentler, et al.. (2017). Rational combination therapy in young vs older patients with advanced colorectal cancer (CRC).. Journal of Clinical Oncology. 35(4_suppl). 612–612. 1 indexed citations

13.

Connelly, Caitlin, Jon Wakefield, & Joshua M. Akey. (2014). Evolution and Genetic Architecture of Chromatin Accessibility and Function in Yeast. PLoS Genetics. 10(7). e1004427–e1004427. 14 indexed citations

14.

Connelly, Caitlin, Daniel A. Skelly, Maitreya J. Dunham, & Joshua M. Akey. (2013). Population Genomics and Transcriptional Consequences of Regulatory Motif Variation in Globally Diverse Saccharomyces cerevisiae Strains. Molecular Biology and Evolution. 30(7). 1605–1613. 10 indexed citations

15.

Skelly, Daniel A., Gennifer E. Merrihew, Michael Riffle, et al.. (2013). Integrative phenomics reveals insight into the structure of phenotypic diversity in budding yeast. Genome Research. 23(9). 1496–1504. 109 indexed citations

16.

Connelly, Caitlin & Joshua M. Akey. (2012). On the Prospects of Whole-Genome Association Mapping inSaccharomyces cerevisiae. Genetics. 191(4). 1345–1353. 36 indexed citations

17.

Lambert, Charla, Caitlin Connelly, Jennifer Madeoy, et al.. (2010). Highly Punctuated Patterns of Population Structure on the X Chromosome and Implications for African Evolutionary History. The American Journal of Human Genetics. 86(1). 34–44. 19 indexed citations

18.

Akey, Joshua M., Alison L. Ruhe, Dayna T. Akey, et al.. (2010). Tracking footprints of artificial selection in the dog genome. Proceedings of the National Academy of Sciences. 107(3). 1160–1165. 247 indexed citations

19.

Scheinfeldt, Laura, Shameek Biswas, Jennifer Madeoy, et al.. (2009). Population Genomic Analysis of ALMS1 in Humans Reveals a Surprisingly Complex Evolutionary History. Molecular Biology and Evolution. 26(6). 1357–1367. 20 indexed citations

20.

Stilio, Verónica S. Di, Cathie Martin, Anjelique Schulfer, & Caitlin Connelly. (2009). An ortholog of MIXTA‐like2 controls epidermal cell shape in flowers of Thalictrum. New Phytologist. 183(3). 718–728. 51 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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