Mark S. Freeman
- Endocrinology, Diabetes and Metabolism
- Epidemiology
- Genetics
- Cardiology and Cardiovascular Medicine
- Experimental and Cognitive Psychology
- Co-authors
- Peter J. GrantJennifer H. BarrettMichael MansfieldMelanie J. SpenceReed LarsonMihály CsíkszentmihályiBen HayesBarry I. Hudson
- Topics
- Counseling Practices and Supervision (4 papers)Substance Abuse Treatment and Outcomes (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular BiologyThrombosis and HaemostasisDiabetic Medicine
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Mark S. Freeman
14 papers receiving 306 citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 82
- Epidemiology 75
- Genetics 48
- Cardiology and Cardiovascular Medicine 43
- Experimental and Cognitive Psychology 39
Countries citing papers authored by Mark S. Freeman
This map shows the geographic impact of Mark S. Freeman'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 Mark S. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Freeman more than expected).
Fields of papers citing papers by Mark S. Freeman
This network shows the impact of papers produced by Mark S. Freeman. 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 Mark S. Freeman. The network helps show where Mark S. Freeman may publish in the future.
Co-authorship network of co-authors of Mark S. Freeman
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Freeman. A scholar is included among the top collaborators of Mark S. Freeman 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 Mark S. Freeman. Mark S. Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 24 | |
| 6 | 2 | |
| 7 | Personality traits as predictors of a preferred theoretical orientation in beginning counselor education students | 1 |
| 8 | 32 | |
| 9 | 82 | |
| 10 | 3 | |
| 11 | 62 | |
| 12 | 8 | |
| 13 | 46 | |
| 14 | 1 | |
| 15 | 39 |
About Mark S. Freeman
Mark S. Freeman is a scholar working on Linguistics and Language, Pharmacy and Social Psychology, having authored 15 papers that have together received 322 indexed citations. Recurring topics across this work include Counseling Practices and Supervision (4 papers), Substance Abuse Treatment and Outcomes (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (82 citations), Pharmacy (18 citations) and Applied Psychology (17 citations). Mark S. Freeman has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Peter J. Grant, Jennifer H. Barrett, Michael Mansfield, Melanie J. Spence, Reed Larson, Mihály Csíkszentmihályi, Ben Hayes, Barry I. Hudson, Clair Sullivan and T. Simon Futers. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Thrombosis and Haemostasis and Diabetic Medicine.
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.