Michelle T. Kassel
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Psychiatry and Mental health
- Pharmacology
- Behavioral Neuroscience top 10%
- Co-authors
- Scott A. LangeneckerSara L. WeisenbachJon‐Kar ZubietaEmily M. BriceñoKelly A. RyanAnne L. WeldonRachel H. JacobsAmy T. Peters
- Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers)Functional Brain Connectivity Studies (13 papers)Treatment of Major Depression (7 papers)
- Partner nations
- United StatesChile
In The Last Decade
Michelle T. Kassel
26 papers receiving 295 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 172
- Experimental and Cognitive Psychology 126
- Psychiatry and Mental health 57
- Pharmacology 56
- Behavioral Neuroscience 56
Countries citing papers authored by Michelle T. Kassel
This map shows the geographic impact of Michelle T. Kassel'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 T. Kassel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle T. Kassel more than expected).
Fields of papers citing papers by Michelle T. Kassel
This network shows the impact of papers produced by Michelle T. Kassel. 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 T. Kassel. The network helps show where Michelle T. Kassel may publish in the future.
Co-authorship network of co-authors of Michelle T. Kassel
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle T. Kassel. A scholar is included among the top collaborators of Michelle T. Kassel 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 Michelle T. Kassel. Michelle T. Kassel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 27 | |
| 14 | 24 | |
| 15 | 12 | |
| 16 | 17 | |
| 17 | 16 | |
| 18 | 10 | |
| 19 | 16 | |
| 20 | 16 |
About Michelle T. Kassel
Michelle T. Kassel is a scholar working on Experimental and Cognitive Psychology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 29 papers that have together received 299 indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (13 papers), Functional Brain Connectivity Studies (13 papers) and Treatment of Major Depression (7 papers). The work is most often cited by research in Behavioral Neuroscience (56 citations), Biological Psychiatry (30 citations) and Experimental and Cognitive Psychology (126 citations). Michelle T. Kassel has collaborated with scholars based in United States and Chile. Frequent co-authors include Scott A. Langenecker, Sara L. Weisenbach, Jon‐Kar Zubieta, Emily M. Briceño, Kelly A. Ryan, Anne L. Weldon, Rachel H. Jacobs, Amy T. Peters, Olusola Ajilore and Erich T. Avery. Their work appears in journals such as Brain, Neuropsychologia and Molecular Psychiatry.
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.