Anne M. Brown

1.2k total citations
68 papers, 790 citations indexed

About

Anne M. Brown is a scholar working on Molecular Biology, Physiology and Computational Theory and Mathematics. According to data from OpenAlex, Anne M. Brown has authored 68 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Physiology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Anne M. Brown's work include Protein Structure and Dynamics (12 papers), Alzheimer's disease research and treatments (11 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). Anne M. Brown is often cited by papers focused on Protein Structure and Dynamics (12 papers), Alzheimer's disease research and treatments (11 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). Anne M. Brown collaborates with scholars based in United States, United Kingdom and France. Anne M. Brown's co-authors include David R. Bevan, Justin A. Lemkul, Stacey Gerben, V. G. Alder, Webster L. Santos, Yugesh Kharel, Kevin R. Lynch, W. A. Gillespie, James Weger‐Lucarelli and Samantha L. Hoopes and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Anne M. Brown

62 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne M. Brown United States 16 449 227 85 57 55 68 790
Claudia G. Benítez‐Cardoza Mexico 15 405 0.9× 133 0.6× 64 0.8× 18 0.3× 72 1.3× 74 741
Luciano Pirone Italy 21 798 1.8× 64 0.3× 61 0.7× 30 0.5× 53 1.0× 70 1.2k
Karunakar R. Pothula Germany 14 458 1.0× 122 0.5× 62 0.7× 39 0.7× 11 0.2× 21 692
Conceição A.S.A. Minetti United States 20 548 1.2× 75 0.3× 55 0.6× 28 0.5× 30 0.5× 40 928
Zongliang Liu China 20 326 0.7× 62 0.3× 53 0.6× 42 0.7× 118 2.1× 56 992
D.J. Leibly United States 14 405 0.9× 88 0.4× 61 0.7× 22 0.4× 60 1.1× 20 681
Létitia Jean United Kingdom 15 321 0.7× 197 0.9× 13 0.2× 64 1.1× 53 1.0× 25 617
Urszula Łapińska United Kingdom 15 332 0.7× 106 0.5× 26 0.3× 51 0.9× 21 0.4× 25 656
Charles E. Dahl United States 20 621 1.4× 181 0.8× 34 0.4× 39 0.7× 41 0.7× 29 1.1k
Human Rezaei France 23 1.5k 3.3× 298 1.3× 66 0.8× 27 0.5× 60 1.1× 62 1.8k

Countries citing papers authored by Anne M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Anne M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Anne M. Brown. A scholar is included among the top collaborators of Anne M. 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 Anne M. Brown. Anne M. 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.
Ray, W. Keith, et al.. (2025). Type IV Pili‐Associated Secretion of a Biofilm Matrix Protein From Clostridium perfringens That Forms Intermolecular Isopeptide Bonds. Molecular Microbiology. 124(5). 462–479. 1 indexed citations
2.
Brown, Anne M., et al.. (2025). The Influence of POPC as a Coaggregate in Amyloid-β Oligomer Formation. ACS Chemical Neuroscience. 16(19). 3886–3898.
3.
Brown, Anne M., et al.. (2025). The role of hydrophobic collapse in cytotoxic and functional amyloid oligomerization. Biophysical Journal. 124(18). 2995–3007. 2 indexed citations
4.
Batarseh, Feras A., et al.. (2024). Understanding the Landscape of Cyberbiosecurity for Integrative Educational Programming. Journal of the ASABE. 67(1). 207–217. 1 indexed citations
5.
Barth, Zachary K., Julien Thézé, Jun Takatsuka, et al.. (2024). Genomic analysis of hyperparasitic viruses associated with entomopoxviruses. Virus Evolution. 10(1). veae051–veae051. 2 indexed citations
6.
Kharel, Yugesh, et al.. (2024). Discovery of Potent, Orally Bioavailable Sphingosine-1-Phosphate Transporter (Spns2) Inhibitors. Journal of Medicinal Chemistry. 67(13). 11273–11295. 1 indexed citations
7.
Brown, Anne M., et al.. (2024). Cyberbiosecurity Workforce Preparation. 67(1). 1 indexed citations
8.
Langwig, Kate E., Katherine L. Brown, Pallavi Rai, et al.. (2024). Widespread exposure to SARS-CoV-2 in wildlife communities. Nature Communications. 15(1). 6210–6210. 14 indexed citations
9.
Babikian, Talin, Emily L. Dennis, Kevin Bickart, et al.. (2024). The neurocognitive correlates of DTI indicators of white matter disorganization in pediatric moderate-to-severe traumatic brain injury. Frontiers in Human Neuroscience. 18. 1470710–1470710. 1 indexed citations
10.
Palmero, María José Guerra, Douglas W. Yu, Abigail Sharp, et al.. (2024). Evolution at Spike protein position 519 in SARS-CoV-2 facilitated adaptation to humans. SHILAP Revista de lepidopterología. 2(1). 29–29. 2 indexed citations
11.
Carter, Rachel, Jessica Roman, Alessandra Luchini, et al.. (2023). Identification of the functional PD-L1 interface region responsible for PD-1 binding and initiation of PD-1 signaling. Journal of Biological Chemistry. 299(12). 105353–105353. 5 indexed citations
12.
Nix, Jay C., et al.. (2023). The structural analysis of the periplasmic domain of Sinorhizobium meliloti chemoreceptor McpZ reveals a novel fold and suggests a complex mechanism of transmembrane signaling. Proteins Structure Function and Bioinformatics. 91(10). 1394–1406. 5 indexed citations
13.
Pashikanti, Srinath, Yugesh Kharel, Anne M. Brown, et al.. (2022). Sphingosine Kinase 2 Inhibitors: Rigid Aliphatic Tail Derivatives Deliver Potent and Selective Analogues. PubMed. 2(5). 469–489. 5 indexed citations
14.
Newman, David, et al.. (2022). Biophysical insights into OR2T7: Investigation of a potential prognostic marker for glioblastoma. Biophysical Journal. 121(19). 3706–3718. 1 indexed citations
15.
Gaji, Rajshekhar Y., et al.. (2021). Protein kinases in Toxoplasma gondii. International Journal for Parasitology. 51(6). 415–429. 25 indexed citations
16.
Fritzemeier, Russell G., Yugesh Kharel, Anne M. Brown, et al.. (2020). Probing the substitution pattern of indole-based scaffold reveals potent and selective sphingosine kinase 2 inhibitors. European Journal of Medicinal Chemistry. 212. 113121–113121. 6 indexed citations
17.
Sibley, Christopher D., Yugesh Kharel, Anne M. Brown, et al.. (2020). Discovery of a Small Side Cavity in Sphingosine Kinase 2 that Enhances Inhibitor Potency and Selectivity. Journal of Medicinal Chemistry. 63(3). 1178–1198. 15 indexed citations
18.
Liu, Jingjing, et al.. (2018). Distinct control of PERIOD2 degradation and circadian rhythms by the oncoprotein and ubiquitin ligase MDM2. Science Signaling. 11(556). 38 indexed citations
19.
Matheny, Adam P. & Anne M. Brown. (1971). The Behavior of Twins: Effects of Birth Weight and Birth Sequence. Child Development. 42(1). 251–251. 7 indexed citations
20.
Alder, V. G., Anne M. Brown, & W. A. Gillespie. (1966). Disinfection of heat-sensitive material by low-temperature steam and formaldehyde. Journal of Clinical Pathology. 19(1). 83–89. 37 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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