Mary Coerver- Connolly

532 total citations
17 papers, 420 citations indexed

About

Mary Coerver- Connolly is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Mary Coerver- Connolly has authored 17 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Rheumatology. Recurrent topics in Mary Coerver- Connolly's work include Youth Development and Social Support (3 papers), Cancer survivorship and care (3 papers) and Economic and Financial Impacts of Cancer (3 papers). Mary Coerver- Connolly is often cited by papers focused on Youth Development and Social Support (3 papers), Cancer survivorship and care (3 papers) and Economic and Financial Impacts of Cancer (3 papers). Mary Coerver- Connolly collaborates with scholars based in Ireland, United States and Canada. Mary Coerver- Connolly's co-authors include Douglas J. Veale, Ursula Fearon, Margaret Rosenzweig, Trudy McGarry, Carl Orr, Catherine M. Bender, Jennifer McCormick, Mi‐Kyung Song, Anne‐Marie Shields and Sandra E. Ward and has published in prestigious journals such as The Journal of Immunology, Cancer and American Journal Of Pathology.

In The Last Decade

Mary Coerver- Connolly

16 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Coerver- Connolly Ireland 9 103 97 97 88 47 17 420
Tomasz Banaś Poland 17 149 1.4× 91 0.9× 115 1.2× 68 0.8× 30 0.6× 69 821
Randi A. Paynter United States 15 125 1.2× 76 0.8× 71 0.7× 119 1.4× 41 0.9× 19 680
Julie Smith‐Gagen United States 14 160 1.6× 199 2.1× 66 0.7× 73 0.8× 22 0.5× 41 617
Mohamad Nasir Shafiee Malaysia 17 131 1.3× 103 1.1× 118 1.2× 174 2.0× 32 0.7× 57 720
Michelle Wise New Zealand 17 219 2.1× 53 0.5× 118 1.2× 140 1.6× 29 0.6× 60 815
Kellie S. Rath United States 13 75 0.7× 169 1.7× 54 0.6× 131 1.5× 16 0.3× 27 548
Anthony Proietto Australia 16 106 1.0× 155 1.6× 69 0.7× 114 1.3× 15 0.3× 41 671
Mehmet Ali Vardar Türkiye 14 102 1.0× 161 1.7× 78 0.8× 75 0.9× 13 0.3× 72 636
Kathleen O. Lindell United States 13 166 1.6× 61 0.6× 48 0.5× 99 1.1× 60 1.3× 26 1.1k
Catherine Bender United States 10 102 1.0× 162 1.7× 71 0.7× 48 0.5× 13 0.3× 16 462

Countries citing papers authored by Mary Coerver- Connolly

Since Specialization
Citations

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

Fields of papers citing papers by Mary Coerver- Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Coerver- Connolly. 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 Mary Coerver- Connolly. The network helps show where Mary Coerver- Connolly may publish in the future.

Co-authorship network of co-authors of Mary Coerver- Connolly

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

All Works

17 of 17 papers shown
1.
Tully, Damien C., Niamh McGoldrick, Fiona McArdle, et al.. (2024). Do You Want to Make a Battery? Insights from the Development and Evaluation of a Chemistry Public Engagement Activity. Journal of Chemical Education. 101(11). 5089–5096.
2.
Mazanec, Susan R., et al.. (2023). Economic Hardship and Associated Factors of Women With Early-Stage Breast Cancer Prior to Chemotherapy Initiation. Clinical Breast Cancer. 24(1). 36–44. 3 indexed citations
3.
McArdle, Fiona, et al.. (2023). Current Chemistry Investigators (CCI): Development and Evaluation of a Scientist in a Classroom Electrochemistry Workshop. Journal of Chemical Education. 100(10). 4138–4146. 2 indexed citations
4.
Mazanec, Susan R., et al.. (2022). Early-stage breast cancer menopausal symptom experience and management: exploring medical oncology clinic visit conversations through qualitative analysis. Supportive Care in Cancer. 30(12). 9901–9907. 1 indexed citations
5.
Connolly, Mary Coerver-, et al.. (2022). A How-To for Pairing Standard 1 NHES-Infused Performance Indicators With NHES Skills and CASEL Competencies: Planning for the Skills-Based Health/SEL Education Classroom. Journal of Physical Education Recreation & Dance. 93(3). 7–12. 1 indexed citations
6.
Mazanec, Susan R., et al.. (2021). Factors associated with symptom distress in women with breast cancer prior to initiation of chemotherapy. Applied Nursing Research. 62. 151515–151515. 11 indexed citations
7.
Goh, Tan Leng & Mary Coerver- Connolly. (2020). Efficacy of School-based SEL Programs: Aligning with Health and Physical Education Standards. Journal of Physical Education Recreation & Dance. 91(5). 16–19. 3 indexed citations
8.
Connolly, Mary Coerver-, et al.. (2018). Predictors of Adherence and Treatment Delays among African American Women Recommended to Receive Breast Cancer Chemotherapy. Women s Health Issues. 28(6). 553–558. 12 indexed citations
9.
Yee, Melissa, Susan M. Sereika, Catherine M. Bender, et al.. (2017). Symptom incidence, distress, cancer‐related distress, and adherence to chemotherapy among African American women with breast cancer. Cancer. 123(11). 2061–2069. 63 indexed citations
10.
McGarry, Trudy, Douglas J. Veale, Wei Gao, et al.. (2015). Toll-like receptor 2 (TLR2) induces migration and invasive mechanisms in rheumatoid arthritis. Arthritis Research & Therapy. 17(1). 153–153. 53 indexed citations
11.
Connolly, Mary Coerver-, Peadar Rooney, Trudy McGarry, et al.. (2015). Acute serum amyloid A is an endogenous TLR2 ligand that mediates inflammatory and angiogenic mechanisms. Annals of the Rheumatic Diseases. 75(7). 1392–1398. 51 indexed citations
12.
Basdeo, Sharee A., Barry Moran, Deborah Cluxton, et al.. (2015). Polyfunctional, Pathogenic CD161+ Th17 Lineage Cells Are Resistant to Regulatory T Cell–Mediated Suppression in the Context of Autoimmunity. The Journal of Immunology. 195(2). 528–540. 71 indexed citations
13.
McGarry, Trudy, Mary Coerver- Connolly, Rebecca C. Coll, et al.. (2014). Novel Compound Cytokine Release Inhibitory Drug 3 (CRID3) Inhibits the NLRP3 Inflammasome in Rheumatoid Arthritis. Queensland's institutional digital repository (The University of Queensland). 66. 2 indexed citations
14.
Connolly, Mary Coerver-, Peadar Rooney, Wei Gao, Douglas J. Veale, & Ursula Fearon. (2012). Acute Serum Amyloid A induces cell migration cytoskeletal rearrangement and Notch signalling in rheumatoid arthritis. Arthritis Research & Therapy. 14(S1). 4 indexed citations
15.
Mullan, Ronan, Jennifer B. McCormick, Mary Coerver- Connolly, et al.. (2010). A Role for the High-Density Lipoprotein Receptor SR-B1 in Synovial Inflammation via Serum Amyloid-A. American Journal Of Pathology. 176(4). 1999–2008. 48 indexed citations
16.
Connolly, Mary Coerver-. (2010). Skills Based Health Education. 8 indexed citations
17.
Song, Mi‐Kyung, Sandra E. Ward, Mary Beth Happ, et al.. (2009). Randomized controlled trial of SPIRIT: An effective approach to preparing African‐American dialysis patients and families for end of life. Research in Nursing & Health. 32(3). 260–273. 87 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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