D. Mitchell Magee

1.1k total citations
34 papers, 855 citations indexed

About

D. Mitchell Magee is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, D. Mitchell Magee has authored 34 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 13 papers in Molecular Biology and 11 papers in Infectious Diseases. Recurrent topics in D. Mitchell Magee's work include Fungal Infections and Studies (15 papers), Advanced Biosensing Techniques and Applications (8 papers) and Antifungal resistance and susceptibility (7 papers). D. Mitchell Magee is often cited by papers focused on Fungal Infections and Studies (15 papers), Advanced Biosensing Techniques and Applications (8 papers) and Antifungal resistance and susceptibility (7 papers). D. Mitchell Magee collaborates with scholars based in United States, India and China. D. Mitchell Magee's co-authors include R A Cox, Stephen Albert Johnston, Joshua LaBaer, Phillip Stafford, Shanjana Awasthi, Joseph Barten Legutki, Teresa Quitugua, Garrick Wallstrom, Xiaobo Yu and Shan X. Wang and has published in prestigious journals such as The Journal of Immunology, Molecular and Cellular Biology and Clinical Microbiology Reviews.

In The Last Decade

D. Mitchell Magee

33 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Mitchell Magee United States 18 445 335 310 183 117 34 855
Peter Thorkildson United States 13 378 0.8× 221 0.7× 260 0.8× 98 0.5× 35 0.3× 22 655
Arash Memarnejadian Iran 20 305 0.7× 327 1.0× 247 0.8× 376 2.1× 72 0.6× 73 1.1k
Linda Eissenberg United States 15 627 1.4× 348 1.0× 480 1.5× 232 1.3× 42 0.4× 25 1.2k
Gabriel Kristian Pedersen Denmark 21 415 0.9× 278 0.8× 304 1.0× 671 3.7× 87 0.7× 59 1.2k
Benjamin Y. Winer United States 18 339 0.8× 321 1.0× 131 0.4× 129 0.7× 88 0.8× 32 1.0k
Julie A. Lovchik United States 19 347 0.8× 585 1.7× 407 1.3× 136 0.7× 33 0.3× 31 1.1k
John Clarke United Kingdom 15 325 0.7× 200 0.6× 352 1.1× 434 2.4× 54 0.5× 47 1.1k
Brigitte Heller United States 17 343 0.8× 306 0.9× 330 1.1× 165 0.9× 52 0.4× 24 1.1k
Thomas D. Duensing United States 12 100 0.2× 352 1.1× 190 0.6× 138 0.8× 50 0.4× 17 847
Jovanka Bestebroer Netherlands 17 355 0.8× 550 1.6× 751 2.4× 501 2.7× 59 0.5× 18 1.3k

Countries citing papers authored by D. Mitchell Magee

Since Specialization
Citations

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

Fields of papers citing papers by D. Mitchell Magee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Mitchell Magee. 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 D. Mitchell Magee. The network helps show where D. Mitchell Magee may publish in the future.

Co-authorship network of co-authors of D. Mitchell Magee

This figure shows the co-authorship network connecting the top 25 collaborators of D. Mitchell Magee. A scholar is included among the top collaborators of D. Mitchell Magee 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 D. Mitchell Magee. D. Mitchell Magee 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.
Song, Lusheng, Lisa F. Shubitz, Daniel A. Powell, et al.. (2024). Discovery of a Unique Set of Dog-Seroreactive Coccidioides Proteins Using Nucleic Acid Programmable Protein Array. Journal of Fungi. 10(5). 307–307.
2.
Doane, Leah D., et al.. (2023). Associations between COVID-19 sleep patterns, depressive symptoms, loneliness, and academic engagement: a latent profile analysis. Journal of American College Health. 73(3). 1168–1172. 1 indexed citations
3.
Svarovsky, Sergei, María J. González‐Moa, Erin Kaleta, et al.. (2023). Development of a rapid lateral flow assay for detection of anti-coccidioidal antibodies. Journal of Clinical Microbiology. 61(9). e0063123–e0063123. 9 indexed citations
4.
Ishida, Elise, Tingting Chen, Yanyan Liu, et al.. (2023). Mucosal and systemic antigen-specific antibody responses correlate with protection against active tuberculosis in nonhuman primates. EBioMedicine. 99. 104897–104897. 5 indexed citations
5.
Mead, Heather, et al.. (2023). Volatile Metabolites in Lavage Fluid Are Correlated with Cytokine Production in a Valley Fever Murine Model. Journal of Fungi. 9(1). 115–115. 4 indexed citations
6.
Song, Lusheng, Ji Qiu, Vel Murugan, et al.. (2023). Quantitative assessment of multiple pathogen exposure and immune dynamics at scale. Microbiology Spectrum. 12(1). e0239923–e0239923. 1 indexed citations
7.
Kaleta, Erin, et al.. (2022). Clinical Laboratory Utility of a Humanized Antibody in Commercially Available Enzyme Immunoassays for Coccidioidomycosis. Microbiology Spectrum. 10(5). e0257322–e0257322. 1 indexed citations
8.
Pflughoeft, Kathryn J., Nicole R. Hasenkampf, Mary B. Jacobs, et al.. (2019). Multi-platform Approach for Microbial Biomarker Identification Using Borrelia burgdorferi as a Model. Frontiers in Cellular and Infection Microbiology. 9. 179–179. 7 indexed citations
9.
Magee, D. Mitchell, et al.. (2018). Evaluation of Virex® II 256 and Virex® Tb as Disinfectants of the Dimorphic Fungi Coccidioides immitis and Coccidioides posadasii. Applied Biosafety. 24(1). 30–33. 3 indexed citations
10.
Song, Lusheng, Garrick Wallstrom, Xiaobo Yu, et al.. (2017). Identification of Antibody Targets for Tuberculosis Serology using High-Density Nucleic Acid Programmable Protein Arrays. Molecular & Cellular Proteomics. 16(4). S277–S289. 39 indexed citations
11.
Wang, Jie, Xiaobo Yu, Gokhan Demirkan, et al.. (2017). Automatic Identification and Quantification of Extra-Well Fluorescence in Microarray Images. Journal of Proteome Research. 16(11). 3969–3977. 3 indexed citations
12.
Navalkar, Krupa, Stephen Albert Johnston, Neal W. Woodbury, et al.. (2014). Application of Immunosignatures for Diagnosis of Valley Fever. Clinical and Vaccine Immunology. 21(8). 1169–1177. 20 indexed citations
13.
Lee, Jung‐Rok, D. Mitchell Magee, Richard S. Gaster, Joshua LaBaer, & Shan X. Wang. (2013). Emerging protein array technologies for proteomics. Expert Review of Proteomics. 10(1). 65–75. 49 indexed citations
14.
Stafford, Phillip, et al.. (2012). Physical Characterization of the “Immunosignaturing Effect”. Molecular & Cellular Proteomics. 11(4). M111.011593–M111.011593. 44 indexed citations
15.
Sampson, Samantha L., Keith G. Mansfield, Angela Carville, et al.. (2011). Extended safety and efficacy studies of a live attenuated double leucine and pantothenate auxotroph of Mycobacterium tuberculosis as a vaccine candidate. Vaccine. 29(29-30). 4839–4847. 31 indexed citations
16.
Legutki, Joseph Barten, D. Mitchell Magee, Phillip Stafford, & Stephen Albert Johnston. (2010). A general method for characterization of humoral immunity induced by a vaccine or infection. Vaccine. 28(28). 4529–4537. 64 indexed citations
17.
18.
Zhu, Yufan, et al.. (1996). Coccidioides immitis antigen 2: Analysis of gene and protein. Gene. 181(1-2). 121–125. 26 indexed citations
19.
Ford, Henri R., et al.. (1990). TUMOR NECROSIS FACTOR, MACROPHAGE COLONY-STIMULATING FACTOR, AND INTERLEUKIN 1 PRODUCTION WITHIN SPONGE MATRIX ALLOGRAFTS1. Transplantation. 50(3). 460–465. 11 indexed citations
20.
Magee, D. Mitchell & Edward J. Wing. (1988). In Vitro Production of Colony-Stimulating Factors by Listeria-Immune Spleen Cells. Advances in experimental medicine and biology. 239. 245–255. 1 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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