Megan Sullivan

1.8k total citations
53 papers, 1.2k citations indexed

About

Megan Sullivan is a scholar working on Genetics, Oncology and Cancer Research. According to data from OpenAlex, Megan Sullivan has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 15 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Megan Sullivan's work include Estrogen and related hormone effects (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and Cancer and Skin Lesions (6 papers). Megan Sullivan is often cited by papers focused on Estrogen and related hormone effects (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers) and Cancer and Skin Lesions (6 papers). Megan Sullivan collaborates with scholars based in United States, United Kingdom and China. Megan Sullivan's co-authors include Yoram Abramov, Peter K. Sand, Roger P. Goldberg, Jay‐James R. Miller, Sylvia M. Botros, Seema A. Khan, Ellen B. Mendelson, Lynn P. Chorich, Hyung‐Goo Kim and David Ivancic and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Megan Sullivan

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Sullivan United States 21 327 260 256 221 168 53 1.2k
Li Wu China 19 782 2.4× 284 1.1× 285 1.1× 85 0.4× 168 1.0× 57 1.6k
Juichiro NAKAYAMA Japan 20 544 1.7× 464 1.8× 299 1.2× 79 0.4× 143 0.9× 131 1.8k
Diana V. Messadi United States 28 510 1.6× 158 0.6× 260 1.0× 95 0.4× 91 0.5× 55 2.0k
Min Zheng China 30 1.0k 3.2× 400 1.5× 480 1.9× 111 0.5× 246 1.5× 158 3.0k
Daniel Lee United States 18 523 1.6× 157 0.6× 140 0.5× 109 0.5× 100 0.6× 62 1.5k
Urszula Mazurek Poland 22 634 1.9× 229 0.9× 226 0.9× 226 1.0× 107 0.6× 201 1.8k
Arthur G. Pratt United Kingdom 25 439 1.3× 385 1.5× 108 0.4× 126 0.6× 189 1.1× 94 2.2k
Valérie André United States 24 638 2.0× 525 2.0× 214 0.8× 125 0.6× 61 0.4× 103 1.9k
Wang‐Dong Xu China 25 549 1.7× 343 1.3× 243 0.9× 141 0.6× 211 1.3× 117 2.1k
Judith Radnay Israel 21 300 0.9× 196 0.8× 124 0.5× 62 0.3× 104 0.6× 57 1.2k

Countries citing papers authored by Megan Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Megan Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Sullivan

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

All Works

20 of 20 papers shown
1.
Rouzina, Ioulia, Megan Sullivan, Michael Morse, et al.. (2025). BPS2025 - Mechanism of SARS-CoV-2 nucleocapsid protein phosphorylation-induced functional switch. Biophysical Journal. 124(3). 426a–426a.
2.
Brakta, Soumia, Quansheng Du, Lynn P. Chorich, et al.. (2024). Heterozygous ZNHIT3 variants within the 17q12 recurrent deletion region are associated with Mayer-Rokitansky-Kuster Hauser (MRKH) syndrome. Molecular and Cellular Endocrinology. 589. 112237–112237. 2 indexed citations
3.
Gamble, Kathryn C., et al.. (2023). PROSPECTIVE POSTMORTEM ASSESSMENT OF THE INCIDENCE OF MAMMARY NEOPLASIA IN CHIMPANZEES (PAN TROGLODYTES). Journal of Zoo and Wildlife Medicine. 54(3). 428–434. 1 indexed citations
4.
Sullivan, Megan, Hong‐Wen Deng, & Jonathan Greenbaum. (2022). Identification of genetic loci shared between Alzheimer’s disease and hypertension. Molecular Genetics and Genomics. 297(6). 1661–1670. 2 indexed citations
5.
Kuchta, Kristine, William Watkin, Megan Sullivan, et al.. (2022). Programmed Death Ligand-1 Combined Positive Score Concordance and Interrater Reliability in Primary Tumors and Synchronous Lymph Node Metastases in Resected Cases of p16+ Oropharyngeal Squamous Cell Carcinoma. Archives of Pathology & Laboratory Medicine. 147(4). 442–450. 5 indexed citations
8.
Chorich, Lynn P., et al.. (2019). The Use of Whole Exome Sequencing in a Cohort of Transgender Individuals to Identify Rare Genetic Variants. Scientific Reports. 9(1). 20099–20099. 29 indexed citations
9.
Chorich, Lynn P., et al.. (2017). JAK/STAT signaling pathway gene expression is reduced following Nelf knockdown in GnRH neurons. Molecular and Cellular Endocrinology. 470. 151–159. 8 indexed citations
10.
Costa, Fabrício F., Denise Scholtens, Jared M. Bischof, et al.. (2016). Expression of miR-18a and miR-210 in Normal Breast Tissue as Candidate Biomarkers of Breast Cancer Risk. Cancer Prevention Research. 10(1). 89–97. 28 indexed citations
11.
Quaynor, Samuel D., Soo‐Hyun Kim, Hyung‐Goo Kim, et al.. (2016). Targeted next generation sequencing approach identifies eighteen new candidate genes in normosmic hypogonadotropic hypogonadism and Kallmann syndrome. Molecular and Cellular Endocrinology. 437. 86–96. 54 indexed citations
12.
Kim, Hyung‐Goo, Vera M. Kalscheuer, Lynn P. Chorich, et al.. (2016). A balanced chromosomal translocation involving chromosomes 3 and 16 in a patient with Mayer-Rokitansky-Kuster-Hauser syndrome reveals new candidate genes at 3p22.3 and 16p13.3. Molecular Cytogenetics. 9(1). 57–57. 10 indexed citations
13.
Lee, Oukseub, David Ivancic, Irene Helenowski, et al.. (2015). Local transdermal therapy to the breast for breast cancer prevention and DCIS therapy: preclinical and clinical evaluation. Cancer Chemotherapy and Pharmacology. 76(6). 1235–1246. 33 indexed citations
14.
Blanco, Luis Z., Abhishek Mahajan, Barbara Susnik, et al.. (2015). Multinucleation Is an Objective Feature Useful in the Diagnosis of Pleomorphic Lobular Carcinoma In Situ. American Journal of Clinical Pathology. 144(5). 722–726. 6 indexed citations
15.
Quaynor, Samuel D., Lynn P. Chorich, Megan Sullivan, et al.. (2015). NELF knockout is associated with impaired pubertal development and subfertility. Molecular and Cellular Endocrinology. 407. 26–36. 11 indexed citations
16.
Wang, Jun, Akash Gupta, Daniel Branstetter, et al.. (2014). RANKL expression in normal and malignant breast tissue responds to progesterone and is up-regulated during the luteal phase. Breast Cancer Research and Treatment. 146(3). 515–523. 37 indexed citations
17.
Sutton, Brian J., et al.. (2012). Mucocele-like Lesions Diagnosed on Breast Core Biopsy. American Journal of Clinical Pathology. 138(6). 783–788. 27 indexed citations
18.
Abramov, Yoram, et al.. (2012). Vaginal incisional wound healing in a rabbit menopause model: A histologic analysis. International Urogynecology Journal. 23(12). 1763–1769. 9 indexed citations
19.
Sullivan, Megan, et al.. (2010). Lobular Carcinoma In Situ Variants in Breast Cores: Potential for Misdiagnosis, Upgrade Rates at Surgical Excision, and Practical Implications. Archives of Pathology & Laboratory Medicine. 134(7). 1024–1028. 36 indexed citations
20.
Sullivan, Megan. (2006). Video Game Level Designer. The Science Teacher. 73(2). 62. 1 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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