Melinda E. Varney

644 total citations
19 papers, 465 citations indexed

About

Melinda E. Varney is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Melinda E. Varney has authored 19 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 9 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Melinda E. Varney's work include Acute Myeloid Leukemia Research (8 papers), Pneumonia and Respiratory Infections (4 papers) and Immune Response and Inflammation (4 papers). Melinda E. Varney is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Pneumonia and Respiratory Infections (4 papers) and Immune Response and Inflammation (4 papers). Melinda E. Varney collaborates with scholars based in United States, Japan and Netherlands. Melinda E. Varney's co-authors include Daniel T. Starczynowski, Jing Fang, Vincent E. Sollars, W. Elaine Hardman, Emel Sen-Kilic, Jun‐ichiro Inoue, F. Heath Damron, Ting Y. Wong, Mariette Barbier and William T. Witt and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Infection and Immunity.

In The Last Decade

Melinda E. Varney

18 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melinda E. Varney United States 12 218 157 149 100 77 19 465
M Baer United States 7 217 1.0× 142 0.9× 149 1.0× 42 0.4× 17 0.2× 14 558
William C. Florence United States 6 76 0.3× 148 0.9× 102 0.7× 40 0.4× 29 0.4× 8 356
Issa Abu‐Dayyeh Canada 8 133 0.6× 117 0.7× 249 1.7× 138 1.4× 6 0.1× 11 554
Anthony L. Scarman Australia 9 96 0.4× 37 0.2× 47 0.3× 39 0.4× 99 1.3× 10 362
Kazuhide Uemura Japan 12 276 1.3× 37 0.2× 351 2.4× 38 0.4× 17 0.2× 20 603
Sanja Vodanovic‐Jankovic United States 12 147 0.7× 234 1.5× 289 1.9× 33 0.3× 7 0.1× 14 568
Axel Nogai Germany 10 205 0.9× 207 1.3× 234 1.6× 35 0.3× 8 0.1× 28 583
Valarmathy Murugaiah United Kingdom 14 167 0.8× 28 0.2× 213 1.4× 87 0.9× 9 0.1× 27 486
Birgitte Keld United States 5 136 0.6× 46 0.3× 219 1.5× 68 0.7× 13 0.2× 6 413
Gail Bukofzer United States 8 185 0.8× 21 0.1× 42 0.3× 66 0.7× 85 1.1× 17 396

Countries citing papers authored by Melinda E. Varney

Since Specialization
Citations

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

Fields of papers citing papers by Melinda E. Varney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melinda E. Varney. 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 Melinda E. Varney. The network helps show where Melinda E. Varney may publish in the future.

Co-authorship network of co-authors of Melinda E. Varney

This figure shows the co-authorship network connecting the top 25 collaborators of Melinda E. Varney. A scholar is included among the top collaborators of Melinda E. Varney 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 Melinda E. Varney. Melinda E. Varney 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.
Muto, Tomoya, Puneet Agarwal, Kwangmin Choi, et al.. (2023). Inactivation of p53 provides a competitive advantage to del(5q) myelodysplastic syndrome hematopoietic stem cells during inflammation. Haematologica. 108(10). 2715–2729. 4 indexed citations
2.
Varney, Melinda E., et al.. (2023). Modulating the immune system as a therapeutic target for myelodysplastic syndromes and acute myeloid leukemia. Biochemistry and Cell Biology. 101(6). 481–495. 5 indexed citations
3.
Varney, Melinda E., et al.. (2022). Prenatal Cadmium Exposure Alters Proliferation in Mouse CD4+ T Cells via LncRNA Snhg7. Frontiers in Immunology. 12. 720635–720635. 8 indexed citations
4.
Hueneman, Kathleen, Kwangmin Choi, Melinda E. Varney, et al.. (2020). TIFAB Regulates USP15-Mediated p53 Signaling during Stressed and Malignant Hematopoiesis. Cell Reports. 30(8). 2776–2790.e6. 28 indexed citations
5.
Sen-Kilic, Emel, Melinda E. Varney, Ting Y. Wong, et al.. (2020). Innate and Adaptive Immune Responses against Bordetella pertussis and Pseudomonas aeruginosa in a Murine Model of Mucosal Vaccination against Respiratory Infection. Vaccines. 8(4). 647–647. 13 indexed citations
6.
Sen-Kilic, Emel, William T. Witt, Justin R. Bevere, et al.. (2019). Intranasal Peptide-Based FpvA-KLH Conjugate Vaccine Protects Mice From Pseudomonas aeruginosa Acute Murine Pneumonia. Frontiers in Immunology. 10. 2497–2497. 33 indexed citations
7.
Wolf, M. Allison, Ting Y. Wong, Emel Sen-Kilic, et al.. (2019). Intranasal acellular pertussis vaccine provides mucosal immunity and protects mice from Bordetella pertussis. npj Vaccines. 4(1). 40–40. 32 indexed citations
8.
Wong, Ting Y., Andrea M. DiVenere, Emel Sen-Kilic, et al.. (2018). Evaluation of Adenylate Cyclase Toxoid Antigen in Acellular Pertussis Vaccines by Using a Bordetella pertussis Challenge Model in Mice. Infection and Immunity. 86(10). 26 indexed citations
9.
Varney, Melinda E., Ting Y. Wong, Emel Sen-Kilic, et al.. (2018). Bordetella pertussis Whole Cell Immunization, Unlike Acellular Immunization, Mimics Naïve Infection by Driving Hematopoietic Stem and Progenitor Cell Expansion in Mice. Frontiers in Immunology. 9. 2376–2376. 9 indexed citations
11.
Varney, Melinda E., et al.. (2015). Deconstructing innate immune signaling in myelodysplastic syndromes. Experimental Hematology. 43(8). 587–598. 31 indexed citations
12.
Varney, Melinda E., Hiroyasu Konno, Takayuki Matsumura, et al.. (2015). Loss of Tifab, a del(5q) MDS gene, alters hematopoiesis through derepression of Toll-like receptor–TRAF6 signaling. The Journal of Experimental Medicine. 212(11). 1967–1985. 76 indexed citations
13.
Guo, Fukun, Shiwu Zhang, Matthew W. Grogg, et al.. (2013). Mouse gene targeting reveals an essential role of mTOR in hematopoietic stem cell engraftment and hematopoiesis. Haematologica. 98(9). 1353–1358. 50 indexed citations
15.
Fang, Jing, Garrett W. Rhyasen, Lyndsey Bolanos, et al.. (2012). Cytotoxic effects of bortezomib in myelodysplastic syndrome/acute myeloid leukemia depend on autophagy-mediated lysosomal degradation of TRAF6 and repression of PSMA1. Blood. 120(4). 858–867. 87 indexed citations
16.
Fang, Jing, Melinda E. Varney, & Daniel T. Starczynowski. (2012). Implication of microRNAs in the Pathogenesis of MDS. Current Pharmaceutical Design. 18(22). 3170–3179. 15 indexed citations
17.
Fan, Jun, et al.. (2010). Silencing and re‐expression of retinoic acid receptor beta2 in human melanoma. Pigment Cell & Melanoma Research. 23(3). 419–429. 16 indexed citations
18.
Varney, Melinda E., James T. Buchanan, Yulia Dementieva, W. Elaine Hardman, & Vincent E. Sollars. (2010). A High Omega‐3 Fatty Acid Diet has Different Effects on Early and Late Stage Myeloid Progenitors. Lipids. 46(1). 47–57. 8 indexed citations
19.
Varney, Melinda E., W. Elaine Hardman, & Vincent E. Sollars. (2009). Omega 3 fatty acids reduce myeloid progenitor cell frequency in the bone marrow of mice and promote progenitor cell differentiation. Lipids in Health and Disease. 8(1). 9–9. 23 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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