Marcin Trejter
- Endocrine and Autonomic Systems top 5%
- Physiology
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Ludwik K. MalendowiczGastone G. NussdorferAgnieszka ZiółkowskaMarcin RucińskiRaffaella SpinazziGiuliano NeriMarianna TyczewskaPaola G. Andreis
- Topics
- Neuropeptides and Animal Physiology (16 papers)Hormonal Regulation and Hypertension (11 papers)Receptor Mechanisms and Signaling (8 papers)
- Cited by
- Endocrine and Autonomic SystemsBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- ItalyPolandUnited States
In The Last Decade
Marcin Trejter
32 papers receiving 521 citations
Peers
Comparison fields: 5 of 65
- Endocrine and Autonomic Systems 235
- Physiology 163
- Molecular Biology 132
- Cellular and Molecular Neuroscience 128
- Endocrinology, Diabetes and Metabolism 124
Countries citing papers authored by Marcin Trejter
This map shows the geographic impact of Marcin Trejter'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 Marcin Trejter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Trejter more than expected).
Fields of papers citing papers by Marcin Trejter
This network shows the impact of papers produced by Marcin Trejter. 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 Marcin Trejter. The network helps show where Marcin Trejter may publish in the future.
Co-authorship network of co-authors of Marcin Trejter
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Trejter. A scholar is included among the top collaborators of Marcin Trejter 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 Marcin Trejter. Marcin Trejter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 34 | |
| 3 | 18 | |
| 4 | 17 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 26 | |
| 12 | 14 | |
| 13 | 96 | |
| 14 | 9 | |
| 15 | 28 | |
| 16 | 37 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 9 | |
| 20 | 3 |
About Marcin Trejter
Marcin Trejter is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 533 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Hormonal Regulation and Hypertension (11 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (235 citations), Behavioral Neuroscience (53 citations) and Endocrinology, Diabetes and Metabolism (124 citations). Marcin Trejter has collaborated with scholars based in Italy, Poland and United States. Frequent co-authors include Ludwik K. Malendowicz, Gastone G. Nussdorfer, Agnieszka Ziółkowska, Marcin Ruciński, Raffaella Spinazzi, Giuliano Neri, Marianna Tyczewska, Paola G. Andreis, Gian Paolo Rossi and Anna Hochól. Their work appears in journals such as FEBS Letters, Peptides and International Journal of Molecular 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.