Cindy Collins

906 total citations
8 papers, 359 citations indexed

About

Cindy Collins is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Cindy Collins has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Cindy Collins's work include CRISPR and Genetic Engineering (2 papers), BRCA gene mutations in cancer (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). Cindy Collins is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), BRCA gene mutations in cancer (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). Cindy Collins collaborates with scholars based in United States, Netherlands and Germany. Cindy Collins's co-authors include David Isenberg, Robert Lafyatis, Michael York, Giuseppina Farina, Stephan Meller, Yinghua Chen, Jinhua Xu, Timothy R. D. J. Radstake, Ann Marshak‐Rothstein and Bernhard Homey and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and The Lancet Oncology.

In The Last Decade

Cindy Collins

8 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cindy Collins United States 6 158 108 101 88 84 8 359
Do‐June Min South Korea 9 152 1.0× 150 1.4× 145 1.4× 48 0.5× 114 1.4× 12 458
Quan Zhen Li United States 5 295 1.9× 93 0.9× 166 1.6× 91 1.0× 32 0.4× 8 469
J R Kalden Germany 6 121 0.8× 64 0.6× 217 2.1× 78 0.9× 40 0.5× 7 383
Yoshinori Nonomura Japan 10 187 1.2× 89 0.8× 172 1.7× 52 0.6× 33 0.4× 24 441
Jennine Cornelius United States 4 295 1.9× 76 0.7× 105 1.0× 226 2.6× 78 0.9× 4 540
Trieneke C. G. Timmer Netherlands 6 174 1.1× 68 0.6× 254 2.5× 70 0.8× 74 0.9× 8 442
Hanns M. Lorenz Germany 6 109 0.7× 52 0.5× 84 0.8× 29 0.3× 68 0.8× 7 297
H. Hashimoto Japan 8 193 1.2× 54 0.5× 177 1.8× 41 0.5× 63 0.8× 20 404
Fritzler Mj Canada 12 140 0.9× 100 0.9× 176 1.7× 130 1.5× 73 0.9× 25 409
Maria J H Boumans Netherlands 8 127 0.8× 85 0.8× 167 1.7× 55 0.6× 31 0.4× 10 339

Countries citing papers authored by Cindy Collins

Since Specialization
Citations

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

Fields of papers citing papers by Cindy Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cindy Collins

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

All Works

8 of 8 papers shown
1.
Buker, Shane M., Stephen J. Blakemore, P. Ann Boriack‐Sjodin, et al.. (2023). Abstract A170: Discovery of small molecule inhibitors of ADAR1. Molecular Cancer Therapeutics. 22(12_Supplement). A170–A170. 2 indexed citations
2.
Chen, Yinghua, Jinhua Xu, Stanley Borowicz, et al.. (2011). c-Myc activates BRCA1 gene expression through distal promoter elements in breast cancer cells. BMC Cancer. 11(1). 246–246. 37 indexed citations
3.
Farina, Giuseppina, Michael York, Cindy Collins, et al.. (2010). Poly(I:C) Drives Type I IFN- and TGFβ-Mediated Inflammation and Dermal Fibrosis Simulating Altered Gene Expression in Systemic Sclerosis. Journal of Investigative Dermatology. 130(11). 2583–2593. 109 indexed citations
4.
Farina, Giuseppina, Michael York, Cindy Collins, & Robert Lafyatis. (2010). dsRNA activation of endothelin-1 and markers of vascular activation in endothelial cells and fibroblasts. Annals of the Rheumatic Diseases. 70(3). 544–550. 30 indexed citations
5.
Xu, Jinhua, Dezheng Huo, Yinghua Chen, et al.. (2009). CpG island methylation affects accessibility of the proximal BRCA1 promoter to transcription factors. Breast Cancer Research and Treatment. 120(3). 593–601. 37 indexed citations
6.
Collins, Cindy, Dezheng Huo, Jinhua Xu, et al.. (2007). Relationship between BRCA1 promoter methylation and sensitivity of breast cancer cell lines to cisplatin and paclitaxel. Journal of Clinical Oncology. 25(18_suppl). 21083–21083. 1 indexed citations
7.
Villano, John L., Cindy Collins, Elisabet E. Manasanch, Charulata Ramaprasad, & Koen van Besien. (2006). Aplastic anaemia in patient with glioblastoma multiforme treated with temozolomide. The Lancet Oncology. 7(5). 436–438. 34 indexed citations
8.
Isenberg, David & Cindy Collins. (1985). Detection of cross-reactive anti-DNA antibody idiotypes on renal tissue-bound immunoglobulins from lupus patients.. Journal of Clinical Investigation. 76(1). 287–294. 109 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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