Edward A. Medina

1.3k total citations
31 papers, 981 citations indexed

About

Edward A. Medina is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Edward A. Medina has authored 31 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in Edward A. Medina's work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Edward A. Medina is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Retinoids in leukemia and cellular processes (3 papers). Edward A. Medina collaborates with scholars based in United States, Spain and Norway. Edward A. Medina's co-authors include Russell A. Higgins, Marsha C. Kinney, Kent L. Erickson, Neil E. Hubbard, Kent L. Erickson, Peter J. Havel, Michael T. Berton, Tzipora Goldkorn, Tommer Ravid and Darshan S. Kelley and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Edward A. Medina

30 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward A. Medina United States 15 323 210 166 166 158 31 981
Shunsuke Komoto Japan 23 391 1.2× 154 0.7× 219 1.3× 151 0.9× 98 0.6× 80 1.3k
Roslyn M. London United States 16 341 1.1× 152 0.7× 647 3.9× 236 1.4× 103 0.7× 21 1.4k
Emory Hsu United States 11 577 1.8× 115 0.5× 57 0.3× 173 1.0× 73 0.5× 14 935
Luisa Doneda Italy 21 343 1.1× 115 0.5× 264 1.6× 60 0.4× 64 0.4× 84 1.2k
Yong Wu China 18 208 0.6× 421 2.0× 62 0.4× 185 1.1× 54 0.3× 39 912
Ravindra Rajakariar United Kingdom 13 254 0.8× 82 0.4× 95 0.6× 143 0.9× 65 0.4× 28 903
Clara M. Yates United Kingdom 12 244 0.8× 245 1.2× 100 0.6× 101 0.6× 27 0.2× 13 897
Yanli Hou China 18 682 2.1× 104 0.5× 79 0.5× 116 0.7× 49 0.3× 42 1.4k
Suraj J. Patel United States 14 355 1.1× 61 0.3× 387 2.3× 120 0.7× 146 0.9× 26 912
Brooks Scull United States 16 595 1.8× 107 0.5× 223 1.3× 486 2.9× 73 0.5× 28 1.3k

Countries citing papers authored by Edward A. Medina

Since Specialization
Citations

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

Fields of papers citing papers by Edward A. Medina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward A. Medina. 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 Edward A. Medina. The network helps show where Edward A. Medina may publish in the future.

Co-authorship network of co-authors of Edward A. Medina

This figure shows the co-authorship network connecting the top 25 collaborators of Edward A. Medina. A scholar is included among the top collaborators of Edward A. Medina 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 Edward A. Medina. Edward A. Medina 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.
Ge, Guo, Peng Zhang, Ying Guo, et al.. (2023). Targeting lysine demethylase 6B ameliorates ASXL1 truncation–mediated myeloid malignancies in preclinical models. Journal of Clinical Investigation. 134(1). 3 indexed citations
2.
Guo, Ying, Guo Ge, Ganqian Zhu, et al.. (2023). Loss of BRD4 induces cell senescence in HSC/HPCs by deregulating histone H3 clipping. EMBO Reports. 24(10). e57032–e57032. 14 indexed citations
3.
Ma, Ling, Doreen N. Palsgrove, Samuel Ortega, et al.. (2023). Polarized hyperspectral microscopic imaging for white blood cells on Wright-stained blood smear slides. PubMed. 12. 31–31. 1 indexed citations
4.
5.
Medina, Edward A., et al.. (2022). ASXL1/2 mutations and myeloid malignancies. Journal of Hematology & Oncology. 15(1). 127–127. 21 indexed citations
6.
Botero, Juliana Perez, et al.. (2020). Gray Platelet Syndrome Presenting With Pancytopenia, Splenomegaly, and Bone Marrow Fibrosis. American Journal of Clinical Pathology. 156(2). 253–258. 5 indexed citations
7.
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9.
Liang, Sitai, et al.. (2018). Preclinical evidence of the enhanced effectiveness of combined rapamycin and AICAR in reducing kidney cancer. Molecular Oncology. 12(11). 1917–1934. 8 indexed citations
10.
Nowacki, Maciej, Tomasz Kloskowski, Delia Cortés‐Guiral, et al.. (2017). Nanoparticle as a novel tool in hyperthermic intraperitoneal and pressurized intraperitoneal aerosol chemotheprapy to treat patients with peritoneal carcinomatosis. Oncotarget. 8(44). 78208–78224. 19 indexed citations
11.
Habib, Samy L., Maciej Nowacki, Barbara Zegarska, et al.. (2016). Is mTOR Inhibitor Good Enough for Treatment All Tumors in TSC Patients?. Journal of Cancer. 7(12). 1621–1631. 21 indexed citations
12.
Medina, Edward A., et al.. (2014). PKA/AMPK signaling in relation to adiponectin’s antiproliferative effect on multiple myeloma cells. Leukemia. 28(10). 2080–2089. 85 indexed citations
13.
Medina, Edward A., Xiaoyu Shi, Marcia H. Grayson, et al.. (2013). The Diagnostic Value of Adiponectin Multimers in Healthy Men Undergoing Screening for Prostate Cancer. Cancer Epidemiology Biomarkers & Prevention. 23(2). 309–315. 7 indexed citations
14.
Linehan, Leslie A., et al.. (2012). A novel TRIF-independent role for the TLR adaptor molecule TRAM during infection with Francisella tularensis . (180.15). The Journal of Immunology. 188(1_Supplement). 180.15–180.15. 1 indexed citations
15.
Kinney, Marsha C., Russell A. Higgins, & Edward A. Medina. (2011). Anaplastic Large Cell Lymphoma: Twenty-Five Years of Discovery. Archives of Pathology & Laboratory Medicine. 135(1). 19–43. 76 indexed citations
16.
Cadena, José, et al.. (2009). Immune reconstitution inflammatory syndrome after cessation of the tumor necrosis factor α blocker adalimumab in cryptococcal pneumonia. Diagnostic Microbiology and Infectious Disease. 64(3). 327–330. 26 indexed citations
17.
Medina, Edward A., et al.. (2005). Tumor Necrosis Factor-α Decreases Akt Protein Levels in 3T3-L1 Adipocytes via the Caspase-Dependent Ubiquitination of Akt. Endocrinology. 146(6). 2726–2735. 71 indexed citations
18.
Medina, Edward A., Kent L. Erickson, Kimber L. Stanhope, & Peter J. Havel. (2002). Evidence that tumor necrosis factor-alpha[ndash ]induced hyperinsulinemia prevents decreases of circulating leptin during fasting in rats. Metabolism. 51(9). 1104–1110. 12 indexed citations
19.
Erickson, Kent L., Edward A. Medina, & Neil E. Hubbard. (2000). Micronutrients and Innate Immunity. The Journal of Infectious Diseases. 182(s1). S5–S10. 127 indexed citations
20.
Medina, Edward A., et al.. (1999). Effects of tumor necrosis factor alpha on leptin secretion and gene expression: relationship to changes of glucose metabolism in isolated rat adipocytes. International Journal of Obesity. 23(8). 896–903. 35 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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