Maria Freese

521 citations
13 papers · 344 · h-index 6

Impact in

    • Hypothalamic control of reproductive hormones
    • Ovarian function and disorders
    • HER2/EGFR in Cancer Research
    • PARP inhibition in cancer therapy
    • Cancer Treatment and Pharmacology

Papers in

Maria Freese

12 papers receiving 339 citations

Peers

Maria Freese
Comparison fields: 5 of 80
  • Reproductive Medicine 89
  • Oncology 144
  • Cancer Research 66
  • Endocrine and Autonomic Systems 15
  • Pulmonary and Respiratory Medicine 56
Replace Yi-Wen Chang with:
Yi-Wen Chang Taiwan
Ting-Chung Suen United States
Roxana Merino-Martinez Sweden
Chiou-Miin Wang United States
Leda Paganini Italy
Jessica L. Sneeden United States
Ping Tang China
Julie Illi United States
Donna M. Fitzgerald United States
Astrid Musnier France
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Citations per field
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Citations per year

Countries citing papers authored by Maria Freese

Since Specialization
Citations

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

Fields of papers citing papers by Maria Freese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Freese. 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 Maria Freese. The network helps show where Maria Freese may publish in the future.

Co-authors

The 25 scholars most cited alongside Maria Freese, 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 Maria Freese Line = papers co-authored together Maria Freese links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011191
2 201463
3 201537
4 201820
5 202116
6 20208
7 20193
8
Game-Based Learning – An approach for improving collaborative airport management
20162
9 20231
10 20241
11
Integrating Bird Strike Risk Information into the Airport Management System
20161
12 20171
13 20200

About Maria Freese

Maria Freese is a scholar working on Developmental and Educational Psychology, Aerospace Engineering, Molecular Biology, Sociology and Political Science and General Economics, Econometrics and Finance, having authored 13 papers that have together received 344 indexed citations. Recurring topics across this work include Educational Games and Gamification (5 papers), Air Traffic Management and Optimization (3 papers), Aviation Industry Analysis and Trends (2 papers), Plant Reproductive Biology (2 papers), Hypothalamic control of reproductive hormones (2 papers), Digital Games and Media (2 papers), Simulation-Based Education in Healthcare (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Reproductive Medicine (89 citations), Oncology (144 citations), Cancer Research (66 citations), Endocrine and Autonomic Systems (15 citations) and Pulmonary and Respiratory Medicine (56 citations). Maria Freese has collaborated with scholars based in Germany, Netherlands and New Zealand. Frequent co-authors include Ulrich Boehm, Devesh Kumar, H. S. Rugo, Denise A. Yardley, Lee S. Schwartzberg, Eric P. Winer, RS Finn, J. O’Shaughnessy, Michael A. Danso and Supriya Gupta. Their work appears in journals such as Simulation & Gaming, European journal of transport and infrastructure research, Journal of Clinical Oncology, Endocrinology and Journal of Neuroscience.

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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