Peteris Prūsis

2.5k citations
51 papers · 2.0k · h-index 26

Impact in

Papers in

Peteris Prūsis

51 papers receiving 1.9k citations

Peers

Peteris Prūsis
Comparison fields: 5 of 98
  • Endocrine and Autonomic Systems 646
  • Nutrition and Dietetics 644
  • Computational Theory and Mathematics 484
  • Cell Biology 473
  • Molecular Biology 834
Replace Yasuyuki Ishii with:
Yasuyuki Ishii Japan
Andrea Galmozzi United States
Yiran Wu China
Anat Levit Israel
Gino Salituro United States
Dhanapalan Nagarathnam United States
Indu Kheterpal United States
Alastair Brown United Kingdom
Sonia Lobo Planey United States
Peteris Prūsis relative to Yasuyuki Ishii Japan Yasuyuki Ishii's profile →
Citations per field
00.5×6.7×
Yasuyuki Ishii · 1×
Citations per year

Countries citing papers authored by Peteris Prūsis

Since Specialization
Citations

This map shows the geographic impact of Peteris Prūsis'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 Peteris Prūsis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peteris Prūsis more than expected).

Fields of papers citing papers by Peteris Prūsis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peteris Prūsis. 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 Peteris Prūsis. The network helps show where Peteris Prūsis may publish in the future.

Co-authors

The 25 scholars most cited alongside Peteris Prūsis, 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 Peteris Prūsis Line = papers co-authored together Peteris Prūsis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000274
2 1998123
3 2001109
4 201097
5 200286
6 201484
7 199777
8 200274
9 200568
10 199965
11 200861
12 199755
13 199448
14 199547
15 200647
16 200143
17 199741
18 200840
19 200333
20 200533

About Peteris Prūsis

Peteris Prūsis is a scholar working on Molecular Biology, Nutrition and Dietetics, Endocrine and Autonomic Systems, Computational Theory and Mathematics and Cell Biology, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (20 papers), Regulation of Appetite and Obesity (19 papers), melanin and skin pigmentation (14 papers), Computational Drug Discovery Methods (14 papers), Receptor Mechanisms and Signaling (9 papers), Analytical Chemistry and Chromatography (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (646 citations), Nutrition and Dietetics (644 citations), Computational Theory and Mathematics (484 citations), Cell Biology (473 citations) and Molecular Biology (834 citations). Peteris Prūsis has collaborated with scholars based in Sweden, Latvia and United Kingdom. Frequent co-authors include Jarl E. S. Wikberg, Ruta Muceniece, Maris Lapins, Felikss Mutulis, Torbjörn Lundstedt, Claes Post, Helgi B. Schiöth, Ilona Mandrika, Jonas Lindblom and Anna Skottner. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proteins Structure Function and Bioinformatics, BMC Bioinformatics, Molecular Pharmacology and MedChemComm.

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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