Sonya Tokmakejian
- Behavioral Neuroscience top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Dermatology top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Gideon KorenStan Van UumMao JiangNjanoor NarayananAlex XuDavid MorrisonTerri PaulPatricia Morley-Forster
- Topics
- Stress Responses and Cortisol (2 papers)Hair Growth and Disorders (2 papers)Hormonal and reproductive studies (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaClinical ChemistryAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- CanadaIndiaUnited States
In The Last Decade
Sonya Tokmakejian
10 papers receiving 740 citations
Peers
Comparison fields: 5 of 111
- Behavioral Neuroscience 305
- Endocrinology, Diabetes and Metabolism 187
- Physiology 106
- Dermatology 98
- Public Health, Environmental and Occupational Health 83
Countries citing papers authored by Sonya Tokmakejian
This map shows the geographic impact of Sonya Tokmakejian'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 Sonya Tokmakejian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonya Tokmakejian more than expected).
Fields of papers citing papers by Sonya Tokmakejian
This network shows the impact of papers produced by Sonya Tokmakejian. 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 Sonya Tokmakejian. The network helps show where Sonya Tokmakejian may publish in the future.
Co-authorship network of co-authors of Sonya Tokmakejian
This figure shows the co-authorship network connecting the top 25 collaborators of Sonya Tokmakejian. A scholar is included among the top collaborators of Sonya Tokmakejian 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 Sonya Tokmakejian. Sonya Tokmakejian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 41 | |
| 3 | 90 | |
| 4 | 27 | |
| 5 | 466 | |
| 6 | 14 | |
| 7 | 40 | |
| 8 | Tumour epidermal growth factor receptor, erbB-2 and cathepsin D in node-negative invasive breast cancer: their impact on the selection of patients for systemic adjuvant therapy. | 3 |
| 9 | 17 | |
| 10 | 54 |
About Sonya Tokmakejian
Sonya Tokmakejian is a scholar working on Behavioral Neuroscience, Urology and Dermatology, having authored 10 papers that have together received 759 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (2 papers), Hair Growth and Disorders (2 papers) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (305 citations), Biological Psychiatry (43 citations) and Endocrinology, Diabetes and Metabolism (187 citations). Sonya Tokmakejian has collaborated with scholars based in Canada, India and United States. Frequent co-authors include Gideon Koren, Stan Van Uum, Mao Jiang, Njanoor Narayanan, Alex Xu, David Morrison, Terri Paul, Patricia Morley-Forster, Trevor Friedman and Lisa-Ann Fraser. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Chemistry and American Journal of Physiology-Heart and Circulatory Physiology.
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.