Marcin Trejter

32 papers receiving 521 citations

Peers

Marcin Trejter
Comparison fields: 5 of 65
  • Endocrine and Autonomic Systems 229
  • Behavioral Neuroscience 45
  • Endocrinology, Diabetes and Metabolism 112
  • Cellular and Molecular Neuroscience 123
  • Nutrition and Dietetics 93
Replace Anna Hochól with:
Anna Hochól Italy
Christopher Mayer Canada
Minemori Watanabe Japan
Martina Kvist Reimer Sweden
Nicolas Deblon Switzerland
Lucas Cerrillos González Spain
Alain J. De Solís Spain
Silvia García Argentina
Ingrid Thomas United States
A. Haidan Germany
Marcin Trejter relative to Anna Hochól Italy Anna Hochól's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcin Trejter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Marcin Trejter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcin Trejter Line = papers co-authored together Marcin Trejter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200395
2 200343
3 200237
4 201534
5 201530
6 200729
7 200228
8 200326
9 200124
10 201418
11 201417
12 200316
13 200314
14 200614
15 200512
16 200111
17 200811
18 20009
19 20129
20 20139

About Marcin Trejter

Marcin Trejter is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Genetics, 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), Receptor Mechanisms and Signaling (8 papers), Regulation of Appetite and Obesity (6 papers), Estrogen and related hormone effects (5 papers), Adipose Tissue and Metabolism (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (229 citations), Behavioral Neuroscience (45 citations), Endocrinology, Diabetes and Metabolism (112 citations), Cellular and Molecular Neuroscience (123 citations) and Nutrition and Dietetics (93 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, Gian Paolo Rossi, Cinzia Tortorella and Paola G. Andreis. Their work appears in journals such as International Journal of Molecular Medicine, Peptides, FEBS Letters, Pituitary and Biomedical Research.

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.

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