Megan Brown

753 total citations
26 papers, 561 citations indexed

About

Megan Brown is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Immunology. According to data from OpenAlex, Megan Brown has authored 26 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Immunology. Recurrent topics in Megan Brown's work include T-cell and Retrovirus Studies (6 papers), Avian ecology and behavior (5 papers) and Animal Behavior and Reproduction (5 papers). Megan Brown is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Avian ecology and behavior (5 papers) and Animal Behavior and Reproduction (5 papers). Megan Brown collaborates with scholars based in United States, United Kingdom and India. Megan Brown's co-authors include Christophe Nicot, Marcia Bellon, Uma Sinha-Datta, Abhik Datta, Mirdad Kazanji, Eriko Michishita, Izumi Horikawa, J. Carl Barrett, Pierre Couppié and Donald S. Cherry and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Megan Brown

25 papers receiving 549 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 Brown United States 13 158 154 143 124 115 26 561
Katsuyuki Eguchi Japan 15 240 1.5× 205 1.3× 369 2.6× 34 0.3× 376 3.3× 95 925
Virag Sharma Germany 16 122 0.8× 526 3.4× 75 0.5× 163 1.3× 223 1.9× 32 908
Suzanne Brooks United Kingdom 12 122 0.8× 175 1.1× 35 0.2× 113 0.9× 178 1.5× 17 1.1k
Elsa Oliveira Portugal 16 105 0.7× 186 1.2× 41 0.3× 171 1.4× 83 0.7× 78 723
Kyle W. Selcer United States 18 30 0.2× 263 1.7× 155 1.1× 139 1.1× 362 3.1× 48 895
Aleah F. Caulin United States 5 51 0.3× 350 2.3× 45 0.3× 83 0.7× 249 2.2× 10 703
Ángel P. Diz Spain 16 60 0.4× 308 2.0× 61 0.4× 269 2.2× 236 2.1× 39 972
Victoria Svinti United Kingdom 9 70 0.4× 224 1.5× 146 1.0× 81 0.7× 182 1.6× 17 688
Amaury de Luze France 16 62 0.4× 178 1.2× 56 0.4× 153 1.2× 127 1.1× 23 702

Countries citing papers authored by Megan Brown

Since Specialization
Citations

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

Fields of papers citing papers by Megan Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Brown. A scholar is included among the top collaborators of Megan Brown 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 Brown. Megan Brown 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.
Brown, Megan, Stephen Meek, Thomas Montavon, et al.. (2024). MeCP2 binds to methylated DNA independently of phase separation and heterochromatin organisation. Nature Communications. 15(1). 3880–3880. 13 indexed citations
2.
3.
Brown, Megan, et al.. (2023). Low estradiol production of non-laying whooping cranes (Grus americana) is associated with the failure of small follicles to enter follicular hierarchy. General and Comparative Endocrinology. 338. 114280–114280. 1 indexed citations
4.
Brown, Megan, Glenn H. Olsen, Carol L. Keefer, & Nucharin Songsasen. (2023). Egg production and endocrine profiles of female whooping cranes (Grus americana) maintained ex situ are improved in naturalized enclosures. SHILAP Revista de lepidopterología. 2. 100034–100034.
5.
Brown, Megan, et al.. (2020). Persian onager (Equus hemionus onager) endometrial explant cryopreservation and in vitro culture. Animal Reproduction Science. 217. 106459–106459. 7 indexed citations
6.
Johnson, Aime K., Tulio M. Prado, Christopher Premanandan, et al.. (2019). Dimethyl sulfoxide maintains structure and function of cryopreserved equine endometrial explants. Cryobiology. 91. 90–96. 10 indexed citations
7.
Nagashima, Jennifer B., et al.. (2019). Cilostamide and forskolin maintain gap junction function of incubated dog follicles. Theriogenology. 142. 222–228. 3 indexed citations
8.
Nguyen, Andrew, Megan Brown, Sara Helms Cahan, et al.. (2019). Trade-Offs in Cold Resistance at the Northern Range Edge of the Common Woodland AntAphaenogaster picea(Formicidae). The American Naturalist. 194(6). E151–E163. 14 indexed citations
9.
Brown, Megan, R. P. Singh, Budhan S. Pukazhenthi, Carol L. Keefer, & Nucharin Songsasen. (2018). Cryopreservation effects on sperm function and fertility in two threatened crane species. Cryobiology. 82. 148–154. 15 indexed citations
10.
Zevin, Alexander S., Charlene Miller, Megan Brown, et al.. (2017). Laparoscopic Technique for Serial Collection of Liver and Mesenteric Lymph Nodes in Macaques. Journal of Visualized Experiments. 1 indexed citations
11.
12.
Brown, Megan, et al.. (2016). Seeking Northlake: Place, technology, and public as enabling constraints for urban transdisciplinary research. Cities. 60. 314–322. 4 indexed citations
13.
Brown, Megan, et al.. (2015). Time within reproductive season, but not age or inbreeding coefficient, affects seminal and sperm quality in the whooping crane (Grus americana). Reproduction Fertility and Development. 29(2). 294–306. 9 indexed citations
14.
Sinha-Datta, Uma, John M. Taylor, Megan Brown, & Christophe Nicot. (2007). Celecoxib disrupts the canonical apoptotic network in HTLV-I cells through activation of Bax and inhibition of PKB/Akt. APOPTOSIS. 13(1). 33–40. 21 indexed citations
15.
Ghorbel, Sofiane, Uma Sinha-Datta, Miroslav Dundr, et al.. (2006). Human T-cell Leukemia Virus Type I p30 Nuclear/Nucleolar Retention Is Mediated through Interactions with RNA and a Constituent of the 60 S Ribosomal Subunit. Journal of Biological Chemistry. 281(48). 37150–37158. 31 indexed citations
16.
17.
Bellon, Marcia, Abhik Datta, Megan Brown, et al.. (2006). Increased expression of telomere length regulating factors TRF1, TRF2 and TIN2 in patients with adult T‐cell leukemia. International Journal of Cancer. 119(9). 2090–2097. 67 indexed citations
18.
Brown, Megan, Michał Kowalewski, Richard J. Neves, Donald S. Cherry, & Madeline E. Schreiber. (2005). Freshwater Mussel Shells as Environmental Chronicles:  Geochemical and Taphonomic Signatures of Mercury-Related Extirpations in the North Fork Holston River, Virginia. Environmental Science & Technology. 39(6). 1455–1462. 42 indexed citations
19.
Sinha-Datta, Uma, Izumi Horikawa, Eriko Michishita, et al.. (2004). Transcriptional activation of hTERT through the NF-κB pathway in HTLV-I–transformed cells. Blood. 104(8). 2523–2531. 103 indexed citations
20.
Valsecchi, Elena, Per J. Palsbøll, P. T. Hale, et al.. (1997). Microsatellite genetic distances between oceanic populations of the humpback whale (Megaptera novaeangliae). Molecular Biology and Evolution. 14(4). 355–362. 63 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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