Mélissa Otis
- Social Psychology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Experimental and Cognitive Psychology top 10%
- Genetics
- Co-authors
- Nicole Gallo‐PayetMarcel D. PayetShirley CampbellAdam J. GuastellaHak‐Kim ChanRichard B. BanatiElizabeth A. WoodsTimothy F. Chen
- Topics
- Hormonal Regulation and Hypertension (7 papers)Receptor Mechanisms and Signaling (6 papers)Renin-Angiotensin System Studies (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Applied PhysiologyEndocrinology
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Mélissa Otis
19 papers receiving 760 citations
Peers
Comparison fields: 5 of 80
- Social Psychology 299
- Endocrinology, Diabetes and Metabolism 222
- Molecular Biology 178
- Experimental and Cognitive Psychology 151
- Genetics 144
Countries citing papers authored by Mélissa Otis
This map shows the geographic impact of Mélissa Otis'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 Mélissa Otis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mélissa Otis more than expected).
Fields of papers citing papers by Mélissa Otis
This network shows the impact of papers produced by Mélissa Otis. 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 Mélissa Otis. The network helps show where Mélissa Otis may publish in the future.
Co-authorship network of co-authors of Mélissa Otis
This figure shows the co-authorship network connecting the top 25 collaborators of Mélissa Otis. A scholar is included among the top collaborators of Mélissa Otis 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 Mélissa Otis. Mélissa Otis 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 | 287 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 39 | |
| 7 | 46 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 58 | |
| 11 | 18 | |
| 12 | 22 | |
| 13 | 17 | |
| 14 | 23 | |
| 15 | 55 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | 47 | |
| 19 | 31 | |
| 20 | 66 |
About Mélissa Otis
Mélissa Otis is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 20 papers that have together received 775 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Receptor Mechanisms and Signaling (6 papers) and Renin-Angiotensin System Studies (5 papers). The work is most often cited by research in Behavioral Neuroscience (87 citations), Pharmacy (99 citations) and Endocrine and Autonomic Systems (131 citations). Mélissa Otis has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Nicole Gallo‐Payet, Marcel D. Payet, Shirley Campbell, Adam J. Guastella, Hak‐Kim Chan, Richard B. Banati, Elizabeth A. Woods, Timothy F. Chen, Margaret M. McGuinness and Ian B. Hickie. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Applied Physiology and Endocrinology.
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.