Susan Yeyeodu

492 total citations
19 papers, 382 citations indexed

About

Susan Yeyeodu is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Susan Yeyeodu has authored 19 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Immunology. Recurrent topics in Susan Yeyeodu's work include Cellular transport and secretion (4 papers), Lysosomal Storage Disorders Research (4 papers) and Immune Response and Inflammation (3 papers). Susan Yeyeodu is often cited by papers focused on Cellular transport and secretion (4 papers), Lysosomal Storage Disorders Research (4 papers) and Immune Response and Inflammation (3 papers). Susan Yeyeodu collaborates with scholars based in United States, Netherlands and South Korea. Susan Yeyeodu's co-authors include K. Sean Kimbro, James C. Cusack, Ann H. Erickson, A S Baldwin, Kyle D. Weaver, Matthew G. Ewend, LaCreis R. Kidd, John R. Collette, Victoria J. Madden and Sam M. Witherspoon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and Frontiers in Immunology.

In The Last Decade

Susan Yeyeodu

18 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Yeyeodu United States 14 181 113 72 70 61 19 382
Pushpankur Ghoshal United States 15 289 1.6× 88 0.8× 81 1.1× 79 1.1× 84 1.4× 23 520
Cédric Favre France 10 278 1.5× 85 0.8× 82 1.1× 51 0.7× 80 1.3× 11 473
Michael D. Brewer United States 5 370 2.0× 130 1.2× 110 1.5× 71 1.0× 56 0.9× 5 478
Anders P. Mutvei Sweden 11 362 2.0× 116 1.0× 106 1.5× 51 0.7× 39 0.6× 13 509
Shahram Torkamandi Iran 9 233 1.3× 104 0.9× 49 0.7× 27 0.4× 58 1.0× 21 459
Aimee Flores United States 8 276 1.5× 141 1.2× 76 1.1× 89 1.3× 51 0.8× 10 502
Daehee Hwang South Korea 8 251 1.4× 66 0.6× 75 1.0× 40 0.6× 80 1.3× 14 392
Marie‐Josée Langlois Canada 10 283 1.6× 85 0.8× 103 1.4× 62 0.9× 63 1.0× 17 461
Vanessa Morales-Tirado United States 11 223 1.2× 90 0.8× 112 1.6× 55 0.8× 142 2.3× 26 540
Shuliang Shi China 10 247 1.4× 138 1.2× 78 1.1× 91 1.3× 37 0.6× 15 412

Countries citing papers authored by Susan Yeyeodu

Since Specialization
Citations

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

Fields of papers citing papers by Susan Yeyeodu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Yeyeodu

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

All Works

19 of 19 papers shown
1.
Yeyeodu, Susan, et al.. (2024). High‐fat diet induced obesity promotes inflammation, oxidative stress, and hepatotoxicity in female FVB/N mice. BioFactors. 50(3). 572–591. 5 indexed citations
2.
Yeyeodu, Susan, et al.. (2019). Experimental data demonstrating the effects of silver nanoparticles on basement membrane gene and protein expression in cultured colon, mammary and bronchial epithelia. SHILAP Revista de lepidopterología. 26. 104464–104464. 4 indexed citations
3.
Martin, Megan E., Jeffrey R. Enders, Lindsey M. Costantini, et al.. (2019). Silver nanoparticles alter epithelial basement membrane integrity, cell adhesion molecule expression, and TGF-β1 secretion. Nanomedicine Nanotechnology Biology and Medicine. 21. 102070–102070. 14 indexed citations
4.
Yeyeodu, Susan, LaCreis R. Kidd, & K. Sean Kimbro. (2019). Protective Innate Immune Variants in Racial/Ethnic Disparities of Breast and Prostate Cancer. Cancer Immunology Research. 7(9). 1384–1389. 23 indexed citations
5.
Fleming, Jodie M., et al.. (2018). In Situ Drug Delivery to Breast Cancer-Associated Extracellular Matrix. ACS Chemical Biology. 13(10). 2825–2840. 17 indexed citations
6.
Bang, John J., et al.. (2017). Effects of Carbon Nanotubes on a Neuronal Cell Model In Vitro. SHILAP Revista de lepidopterología. 1(3). 70–77.
7.
Yeyeodu, Susan, et al.. (2015). Pregnane X Receptor–Humanized Mice Recapitulate Gender Differences in Ethanol Metabolism but Not Hepatotoxicity. Journal of Pharmacology and Experimental Therapeutics. 354(3). 459–470. 14 indexed citations
8.
Yeyeodu, Susan, et al.. (2013). IRAK4 and TLR3 Sequence Variants may Alter Breast Cancer Risk among African-American Women. Frontiers in Immunology. 4. 338–338. 16 indexed citations
9.
Yeyeodu, Susan, Guy Brock, Camille Ragin, et al.. (2013). Toll-like receptor-associated sequence variants and prostate cancer risk among men of African descent. Genes and Immunity. 14(6). 347–355. 16 indexed citations
10.
Kidd, LaCreis R., et al.. (2013). Contribution of toll-like receptor signaling pathways to breast tumorigenesis and treatment. Breast Cancer Targets and Therapy. 5. 43–43. 21 indexed citations
11.
Lavender, Nicole, Susan Yeyeodu, Ting Hu, et al.. (2012). Interaction among apoptosis-associated sequence variants and joint effects on aggressive prostate cancer. BMC Medical Genomics. 5(1). 11–11. 26 indexed citations
12.
Bang, John J., et al.. (2011). Effects of Carbon Nanotubes on a Neuronal Cell Model In Vitro. 1(3). 70–77. 4 indexed citations
13.
Yeyeodu, Susan, et al.. (2010). A Trifluoromethyl Analog of Verbenachalcone Promotes Neurite Outgrowth and Cell Proliferation of NeuroScreen-1 Cells. Cellular and Molecular Neurobiology. 31(1). 145–153. 4 indexed citations
14.
Yeyeodu, Susan, et al.. (2010). A Rapid, Inexpensive High Throughput Screen Method for Neurite Outgrowth. PubMed. 4. 74–83. 23 indexed citations
15.
Collette, John R., et al.. (2004). Biosynthesis and Alternate Targeting of the Lysosomal Cysteine Protease Cathepsin L. International review of cytology. 241. 1–51. 46 indexed citations
16.
Weaver, Kyle D., Susan Yeyeodu, James C. Cusack, A S Baldwin, & Matthew G. Ewend. (2003). Potentiation of Chemotherapeutic Agents following Antagonism of Nuclear Factor kappa B in Human Gliomas. Journal of Neuro-Oncology. 61(3). 187–196. 83 indexed citations
17.
Yeyeodu, Susan, et al.. (2002). An Alternate Targeting Pathway for Procathepsin L in Mouse Fibroblasts. Traffic. 3(2). 147–159. 30 indexed citations
18.
Yeyeodu, Susan, et al.. (2000). Procathepsin L Self‐Association as a Mechanism for Selective Secretion. Traffic. 1(9). 724–737. 17 indexed citations
19.
Yeyeodu, Susan, et al.. (1998). Biosynthesis and Intracellular Targeting of the Lysosomal Aspartic Proteinase Cathepsin D. Advances in experimental medicine and biology. 436. 153–162. 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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