Brian Grajeda

436 total citations
21 papers, 232 citations indexed

About

Brian Grajeda is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Brian Grajeda has authored 21 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Neurology. Recurrent topics in Brian Grajeda's work include Estrogen and related hormone effects (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Brian Grajeda is often cited by papers focused on Estrogen and related hormone effects (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Brian Grajeda collaborates with scholars based in United States, Israel and Canada. Brian Grajeda's co-authors include Cameron C. Ellis, Igor C. Almeida, Jun Zhang, Neta Regev‐Rudzki, Patrícia Xander, Rodrigo Pedro Soares, Ana Cláudia Torrecilhas, Natália Lima Pessoa, André Cronemberger Andrade and Marco Antônio Campos and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Diabetes.

In The Last Decade

Brian Grajeda

19 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Grajeda United States 10 99 52 50 36 33 21 232
Sreelakshmi K. Sreenivasamurthy India 10 115 1.2× 46 0.9× 45 0.9× 26 0.7× 42 1.3× 20 262
Vincent A. Streva United States 9 175 1.8× 39 0.8× 73 1.5× 27 0.8× 8 0.2× 17 348
Julienne Jagdeo Canada 8 225 2.3× 89 1.7× 48 1.0× 17 0.5× 11 0.3× 9 376
Nahuel Zamponi United States 11 206 2.1× 41 0.8× 37 0.7× 106 2.9× 8 0.2× 22 342
Jimmy Rodriguez Murillo Sweden 10 126 1.3× 37 0.7× 87 1.7× 7 0.2× 13 0.4× 25 288
Batsheva Rozman Israel 6 164 1.7× 97 1.9× 114 2.3× 16 0.4× 14 0.4× 7 327
Shuxian Liu China 8 73 0.7× 44 0.8× 28 0.6× 118 3.3× 7 0.2× 32 236
Marije E. Kuipers Netherlands 7 148 1.5× 27 0.5× 39 0.8× 46 1.3× 5 0.2× 11 249
M. Krämer Germany 10 124 1.3× 28 0.5× 72 1.4× 6 0.2× 14 0.4× 24 312
Mandy Juárez Mexico 7 113 1.1× 28 0.5× 104 2.1× 66 1.8× 5 0.2× 8 344

Countries citing papers authored by Brian Grajeda

Since Specialization
Citations

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

Fields of papers citing papers by Brian Grajeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Grajeda

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Grajeda. A scholar is included among the top collaborators of Brian Grajeda 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 Brian Grajeda. Brian Grajeda 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.
Grajeda, Brian, et al.. (2024). Circulating Blood Prognostic Biomarker Signatures for Hemorrhagic Cerebral Cavernous Malformations (CCMs). International Journal of Molecular Sciences. 25(9). 4740–4740.
2.
3.
Grajeda, Brian, et al.. (2024). Whole-Genome Omics Elucidates the Role of CCM1 and Progesterone in Cerebral Cavernous Malformations within CmPn Networks. Diagnostics. 14(17). 1895–1895. 1 indexed citations
4.
Lee, Hak Joo, Min Liang, Jingli Gao, et al.. (2024). Female Protection Against Diabetic Kidney Disease Is Regulated by Kidney-Specific AMPK Activity. Diabetes. 73(7). 1167–1177. 7 indexed citations
5.
Koyani, Rina D., et al.. (2023). Structure and function of the TPR‐domain immunophilins FKBP51 and FKBP52 in normal physiology and disease. Journal of Cellular Biochemistry. 125(12). e30406–e30406. 7 indexed citations
6.
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Peng, Xiaogang, Rebecca J. Boohaker, Brian Grajeda, et al.. (2023). Oncogenic KRASG12D Reprograms Lipid Metabolism by Upregulating SLC25A1 to Drive Pancreatic Tumorigenesis. Cancer Research. 83(22). 3739–3752. 13 indexed citations
8.
Paz, David, et al.. (2023). Missense and nonsense mutations of the zebrafish hcfc1a gene result in contrasting mTor and radial glial phenotypes. Gene. 864. 147290–147290. 3 indexed citations
9.
Jiang, Xiaoting, et al.. (2022). CCM signaling complex (CSC) couples both classic and non-classic Progesterone receptor signaling. Cell Communication and Signaling. 20(1). 120–120. 12 indexed citations
10.
Huang, Huiming, et al.. (2022). A comparative proteomics study of Arabidopsis thaliana responding to the coexistence of BPA and TiO2-NPs at environmentally relevant concentrations. Ecotoxicology and Environmental Safety. 241. 113800–113800. 5 indexed citations
11.
Grajeda, Brian, et al.. (2022). CmP Signaling Network Leads to Identification of Prognostic Biomarkers for Triple-Negative Breast Cancer in Caucasian Women. Genetic Testing and Molecular Biomarkers. 26(4). 198–219. 9 indexed citations
12.
Casas-Sánchez, Aitor, Cameron C. Ellis, Brian Grajeda, et al.. (2022). Inhibition of Protein N- Glycosylation Blocks SARS-CoV-2 Infection. mBio. 13(1). e0371821–e0371821. 37 indexed citations
13.
Grajeda, Brian, Cameron C. Ellis, Sourav Roy, et al.. (2022). Giardial lipid rafts share virulence factors with secreted vesicles and participate in parasitic infection in mice. Frontiers in Cellular and Infection Microbiology. 12. 974200–974200. 14 indexed citations
14.
Grajeda, Brian, et al.. (2022). CmP signaling network unveils novel biomarkers for triple negative breast cancer in African American women. Cancer Biomarkers. 34(4). 607–636. 10 indexed citations
15.
Jiang, Xiaoting, Dinesh G. Goswami, Brian Grajeda, et al.. (2022). mPR-Specific Actions Influence Maintenance of the Blood–Brain Barrier (BBB). International Journal of Molecular Sciences. 23(17). 9684–9684. 11 indexed citations
16.
Jiang, Xiaoting, et al.. (2021). CCM Signaling Complex (CSC) Couples Both Classic and Non-Classic Progesterone Receptor Signaling. SSRN Electronic Journal. 1 indexed citations
17.
Li, Lin, et al.. (2020). Nα-Acetylation of the virulence factor EsxA is required for mycobacterial cytosolic translocation and virulence. Journal of Biological Chemistry. 295(17). 5785–5794. 19 indexed citations
18.
Andrade, André Cronemberger, Patrícia Xander, Rodrigo Pedro Soares, et al.. (2020). Trypanosoma cruzi-Infected Human Macrophages Shed Proinflammatory Extracellular Vesicles That Enhance Host-Cell Invasion via Toll-Like Receptor 2. Frontiers in Cellular and Infection Microbiology. 10. 99–99. 55 indexed citations
19.
Ellis, Cameron C., et al.. (2019). A Targeted Mass Spectrometric Analysis Reveals the Presence of a Reduced but Dynamic Sphingolipid Metabolic Pathway in an Ancient Protozoan, Giardia lamblia. Frontiers in Cellular and Infection Microbiology. 9. 245–245. 6 indexed citations
20.
Grajeda, Brian, et al.. (2019). Systems-wide analysis unravels the new roles of CCM signal complex (CSC). Heliyon. 5(12). e02899–e02899. 19 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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