Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Making a Difference in Science Education
2013360 citationsM. Kevin Eagan, Sylvia Hurtado et al.American Educational Research Journalprofile →
What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups
2014338 citationsMitchell J. Chang, Jessica Sharkness et al.profile →
From Gatekeeping to Engagement: A Multicontextual, Mixed Method Study of Student Academic Engagement in Introductory STEM Courses
2011336 citationsM. Kevin Eagan, Gina A. García et al.Research in Higher Educationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Mitchell J. Chang
Since
Specialization
Citations
This map shows the geographic impact of Mitchell J. Chang'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 Mitchell J. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell J. Chang more than expected).
Fields of papers citing papers by Mitchell J. Chang
This network shows the impact of papers produced by Mitchell J. Chang. 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 Mitchell J. Chang. The network helps show where Mitchell J. Chang may publish in the future.
Co-authorship network of co-authors of Mitchell J. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell J. Chang.
A scholar is included among the top collaborators of Mitchell J. Chang 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 Mitchell J. Chang. Mitchell J. Chang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Eagan, M. Kevin, Sylvia Hurtado, Mitchell J. Chang, et al.. (2013). Making a Difference in Science Education. American Educational Research Journal. 50(4). 683–713.360 indexed citations breakdown →
Eagan, M. Kevin, et al.. (2011). From Gatekeeping to Engagement: A Multicontextual, Mixed Method Study of Student Academic Engagement in Introductory STEM Courses. Research in Higher Education. 53(2). 229–261.336 indexed citations breakdown →
Chang, Mitchell J. & Linda DeAngelo. (2002). Going Greek: The Effects of Racial Composition on White Students' Participation Patterns.. Journal of college student development. 43(6).10 indexed citations
15.
Chang, Mitchell J.. (2001). Is It More Than about Getting Along? The Broader Educational Relevance of Reducing Students' Racial Biases.. Journal of college student development. 42(2). 93–105.47 indexed citations
16.
Chang, Mitchell J.. (2001). The Positive Educational Effects of Racial Diversity on Campus..45 indexed citations
Chang, Mitchell J.. (2000). The Relationship of High School Characteristics to the Selection of Undergraduate Students for Admission to the University of California-Berkeley.. The Journal of Negro Education. 69. 49–59.8 indexed citations
Chang, Mitchell J.. (1999). Does Racial Diversity Matter?: The Educational Impact of a Racially Diverse Undergraduate Population.. Journal of college student development. 40(4).257 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.