Nadka Boyadjieva
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Dipak K. SarkarSouichi OomizuB.V. Bhaskara ReddyJuan P. AdvisÁlvaro Arjona‐SánchezShane T. HentgesAlok DePeter Kühn
- Topics
- Neuropeptides and Animal Physiology (23 papers)Stress Responses and Cortisol (14 papers)Immune Cell Function and Interaction (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesBulgariaNetherlands
In The Last Decade
Nadka Boyadjieva
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 662
- Cellular and Molecular Neuroscience 505
- Physiology 315
- Endocrinology, Diabetes and Metabolism 313
- Pediatrics, Perinatology and Child Health 280
Countries citing papers authored by Nadka Boyadjieva
This map shows the geographic impact of Nadka Boyadjieva'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 Nadka Boyadjieva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadka Boyadjieva more than expected).
Fields of papers citing papers by Nadka Boyadjieva
This network shows the impact of papers produced by Nadka Boyadjieva. 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 Nadka Boyadjieva. The network helps show where Nadka Boyadjieva may publish in the future.
Co-authorship network of co-authors of Nadka Boyadjieva
This figure shows the co-authorship network connecting the top 25 collaborators of Nadka Boyadjieva. A scholar is included among the top collaborators of Nadka Boyadjieva 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 Nadka Boyadjieva. Nadka Boyadjieva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 25 | |
| 3 | 55 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 24 | |
| 7 | 61 | |
| 8 | 34 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 42 | |
| 12 | 4 | |
| 13 | 56 | |
| 14 | 7 | |
| 15 | 13 | |
| 16 | 49 | |
| 17 | 4 | |
| 18 | 51 | |
| 19 | 38 | |
| 20 | 14 |
About Nadka Boyadjieva
Nadka Boyadjieva is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Stress Responses and Cortisol (14 papers) and Immune Cell Function and Interaction (11 papers). The work is most often cited by research in Behavioral Neuroscience (207 citations), Endocrine and Autonomic Systems (277 citations) and Biological Psychiatry (87 citations). Nadka Boyadjieva has collaborated with scholars based in United States, Bulgaria and Netherlands. Frequent co-authors include Dipak K. Sarkar, Souichi Oomizu, B.V. Bhaskara Reddy, Juan P. Advis, Álvaro Arjona‐Sánchez, Shane T. Hentges, Alok De, Peter Kühn, Sengottuvelan Murugan and Kirti Chaturvedi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.