Michelle D. Leichtman

2.5k citations
34 papers · 1.5k indexed · h-index 16

Michelle D. Leichtman

34 papers receiving 1.4k citations

Peers

Michelle D. Leichtman
Comparison fields: 5 of 68
  • Developmental and Educational Psychology 823
  • Cognitive Neuroscience 743
  • Social Psychology 529
  • Clinical Psychology 365
  • Neuropsychology and Physiological Psychology 26
Replace Janet J. Boseovski with:
Janet J. Boseovski United States
Janet Kuebli United States
Margarita Svetlova United States
Kristin Hansen Lagattuta United States
Fen Xu China
Rory T. Devine United Kingdom
Mele Taumoepeau New Zealand
Margaret‐Ellen Pipe New Zealand
Donna L. Mumme United States
Kristen A. Dunfield Canada
Michelle D. Leichtman relative to Janet J. Boseovski United States Janet J. Boseovski's profile →
Citations per field
00.5×1.5×
Janet J. Boseovski · 1×
Citations per year

Countries citing papers authored by Michelle D. Leichtman

Since Specialization
Citations

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

Fields of papers citing papers by Michelle D. Leichtman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Michelle D. Leichtman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle D. Leichtman Line = papers co-authored together Michelle D. Leichtman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20231
4 20231
5 20215
6 20202
7 20185
8 201628
9 201432
10 20126
11 20065
12
Cultural variations in interdependence and autobiographical memory: Lessons from Korea, China, India, and the United States.
200344
13 2000174
14 2000167
15 200083
16 1998166
17 199835
18 199740
19 1995282
20 199544

About Michelle D. Leichtman

Michelle D. Leichtman is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Neuropsychology and Physiological Psychology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Identity, Memory, and Therapy (18 papers), Memory Processes and Influences (12 papers), Child and Animal Learning Development (8 papers), Early Childhood Education and Development (7 papers), Educator Training and Historical Pedagogy (5 papers), Memory and Neural Mechanisms (4 papers), Child Development and Digital Technology (3 papers) and Educational Strategies and Epistemologies (2 papers). The work is most often cited by research in Developmental and Educational Psychology (823 citations), Cognitive Neuroscience (743 citations) and Social Psychology (529 citations). Michelle D. Leichtman has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Qi Wang, Stephen J. Ceci, David B. Pillemer, Elizabeth F. Loftus, Maggie Bruck, Daniel L. Schacter, Jerome Kagan, Aashiyana F. Koreishi, Qi Wang and Tara L. White. Their work appears in journals such as Developmental Psychology, Memory, Journal of Experimental Child Psychology, Learning and Motivation and Psychology Public Policy and Law.

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

Rankless by CCL
2026