Daniel P. Mayer

1.5k total citations
24 papers, 916 citations indexed

About

Daniel P. Mayer is a scholar working on Education, Information Systems and Management and Immunology. According to data from OpenAlex, Daniel P. Mayer has authored 24 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Education, 5 papers in Information Systems and Management and 4 papers in Immunology. Recurrent topics in Daniel P. Mayer's work include School Choice and Performance (10 papers), Teacher Education and Leadership Studies (8 papers) and Educational Assessment and Improvement (5 papers). Daniel P. Mayer is often cited by papers focused on School Choice and Performance (10 papers), Teacher Education and Leadership Studies (8 papers) and Educational Assessment and Improvement (5 papers). Daniel P. Mayer collaborates with scholars based in United States. Daniel P. Mayer's co-authors include Paul T. Decker, Steven Glazerman, Jàne Butler Kahle, Jonathan Supovitz, John Mullens, Mary T. Moore, David E. Myers, Paul E. Peterson, William G. Howell and Christina Clark Tuttle and has published in prestigious journals such as The Journal of Immunology, Journal of Controlled Release and Cell Reports.

In The Last Decade

Daniel P. Mayer

21 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Mayer United States 10 794 123 109 108 71 24 916
Jennifer Sloan McCombs United States 14 543 0.7× 199 1.6× 53 0.5× 54 0.5× 116 1.6× 60 712
Audrey Amrein‐Beardsley United States 16 823 1.0× 325 2.6× 34 0.3× 118 1.1× 64 0.9× 62 987
Shaun M. Dougherty United States 14 470 0.6× 48 0.4× 51 0.5× 87 0.8× 59 0.8× 52 656
James W. Guthrie United States 18 662 0.8× 101 0.8× 42 0.4× 120 1.1× 41 0.6× 84 894
Kati Haycock United States 13 515 0.6× 43 0.3× 32 0.3× 109 1.0× 49 0.7× 30 617
Mark Boylan United Kingdom 13 467 0.6× 73 0.6× 16 0.1× 109 1.0× 90 1.3× 39 601
Carol Geary Schneider United States 11 327 0.4× 82 0.7× 17 0.2× 40 0.4× 49 0.7× 48 472
Christopher Mazzeo United States 11 410 0.5× 89 0.7× 10 0.1× 62 0.6× 45 0.6× 20 523
Joseph J. Ferrare United States 13 456 0.6× 49 0.4× 11 0.1× 188 1.7× 45 0.6× 32 630
Catherine Horn United States 13 487 0.6× 13 0.1× 16 0.1× 145 1.3× 34 0.5× 54 624

Countries citing papers authored by Daniel P. Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Mayer. 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 Daniel P. Mayer. The network helps show where Daniel P. Mayer may publish in the future.

Co-authorship network of co-authors of Daniel P. Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Mayer. A scholar is included among the top collaborators of Daniel P. Mayer 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 Daniel P. Mayer. Daniel P. Mayer 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.
Mayer, Daniel P., Rebecca Francis, Wenzhi Song, et al.. (2024). Aberrant zonal recycling of germinal center B cells impairs appropriate selection in lupus. Cell Reports. 43(11). 114978–114978. 2 indexed citations
2.
Mayer, Daniel P., Renata B. Filler, Olivia Q. Antao, et al.. (2024). A novel microporous biomaterial vaccine platform for long-lasting antibody mediated immunity against viral infection. Journal of Controlled Release. 370. 570–582. 5 indexed citations
3.
Miwa, Hiromi, Olivia Q. Antao, Kindra M. Kelly‐Scumpia, et al.. (2023). Improved Humoral Immunity and Protection against Influenza Virus Infection with a 3d Porous Biomaterial Vaccine. Advanced Science. 10(31). e2302248–e2302248. 8 indexed citations
4.
Song, Wenzhi, Daniel P. Mayer, Holly N. Blackburn, et al.. (2023). Cutting Edge: IL-21 and Tissue-Specific Signals Instruct Tbet+CD11c+ B Cell Development following Viral Infection. The Journal of Immunology. 210(12). 1861–1865. 9 indexed citations
5.
Mayer, Daniel P., et al.. (2007). Key Indicators of School Quality. 311–338. 2 indexed citations
6.
Decker, Paul T., John Deke, Amy Johnson, et al.. (2005). The Evaluation of Teacher Preparation Models: Design Report. Mathematica Policy Research Reports. 3 indexed citations
7.
Glazerman, Steven, Daniel P. Mayer, & Paul T. Decker. (2005). Alternative routes to teaching: The impacts of Teach for America on student achievement and other outcomes. Journal of Policy Analysis and Management. 25(1). 75–96. 96 indexed citations
8.
Decker, Paul T., Daniel P. Mayer, & Steven Glazerman. (2004). The Effects of Teach For America on Students: Findings from a National Evaluation. Mathematica Policy Research Reports. 153 indexed citations
9.
Seftor, Neil & Daniel P. Mayer. (2003). The Effect of Alternative Certification on Student Achievement: A Literature Review. Mathematica Policy Research Reports. 1 indexed citations
10.
Peterson, Paul E., Daniel P. Mayer, David E. Myers, Christina Clark Tuttle, & William G. Howell. (2002). School Choice in New York City After Three Years: An Evaluation of the School Choice Scholarships Program. Mathematica Policy Research Reports. 37 indexed citations
11.
Mayer, Daniel P., John Mullens, & Mary T. Moore. (2001). Monitoring School Quality: An Indicators Report.. RePEc: Research Papers in Economics. 3(1). 38–44. 97 indexed citations
12.
Myers, David E., et al.. (2000). School Choice in New York City After Two Years: An Evaluation of the School Choice Scholarships Program (Interim Report). Mathematica Policy Research Reports. 10 indexed citations
13.
Supovitz, Jonathan, Daniel P. Mayer, & Jàne Butler Kahle. (2000). Promoting Inquiry-Based Instructional Practice: The Longitudinal Impact of Professional Development in the Context of Systemic Reform. Educational Policy. 14(3). 331–356. 131 indexed citations
14.
Mayer, Daniel P.. (1999). Measuring Instructional Practice: Can Policymakers Trust Survey Data?. Educational Evaluation and Policy Analysis. 21(1). 29–29. 9 indexed citations
15.
Peterson, Paul E., David Myers, William E. Howell, Daniel P. Mayer, & Susan Mayer. (1999). School Choice in New York City. 1 indexed citations
16.
Mayer, Daniel P.. (1999). Measuring Instructional Practice: Can Policymakers Trust Survey Data?. Educational Evaluation and Policy Analysis. 21(1). 29–45. 250 indexed citations
17.
Mayer, Daniel P.. (1998). Do New Teaching Standards Undermine Performance on Old Tests?. Educational Evaluation and Policy Analysis. 20(2). 53–73. 44 indexed citations
18.
Mayer, Daniel P.. (1998). Do New Teaching Standards Undermine Performance on Old Tests?. Educational Evaluation and Policy Analysis. 20(2). 53–53. 1 indexed citations
19.
Mayer, Daniel P.. (1997). Will New Teaching Standards Be Implemented If Old Tests Are the Yardstick for Success.
20.
Shepherd, Suzanne M., Leslie S. Zun, Joyce Mitchell, et al.. (1990). A model preclinical, clinical, and graduate educational curriculum in emergency medicine for medical students and rotating residents. Annals of Emergency Medicine. 19(10). 1159–1166. 29 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jennifer Sloan McCombs Breakdown of academic impact, for papers by Audrey Amrein‐Beardsley Breakdown of academic impact, for papers by Shaun M. Dougherty Breakdown of academic impact, for papers by James W. Guthrie Breakdown of academic impact, for papers by Kati Haycock Breakdown of academic impact, for papers by Mark Boylan Breakdown of academic impact, for papers by Carol Geary Schneider Breakdown of academic impact, for papers by Christopher Mazzeo Breakdown of academic impact, for papers by Joseph J. Ferrare Breakdown of academic impact, for papers by Catherine Horn
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