Reinis Vilšķe̅rsts

1.9k citations
45 papers · 1.4k indexed · 1 hit paper · h-index 21
Topics
Metabolism and Genetic Disorders (17 papers)Metabolomics and Mass Spectrometry Studies (13 papers)Diet and metabolism studies (8 papers)
Partner nations
LatviaRussiaSweden

In The Last Decade

Reinis Vilšķe̅rsts

45 papers receiving 1.3k citations

Hit Papers

Acylcarnitines: Nomenclature, Biomarkers, Therapeutic Pot...2022202620232024202250100150200250

Peers

Reinis Vilšķe̅rsts
Comparison fields: 5 of 113
  • Molecular Biology 740
  • Physiology 373
  • Clinical Biochemistry 318
  • Cardiology and Cardiovascular Medicine 154
  • Pathology and Forensic Medicine 109
Replace Janis Kuka with:
Janis Kuka Latvia
Osvalds Pugovičs Latvia
Marina Makrecka‐Kuka Latvia
Helena Cirule Latvia
Jelena Klawitter United States
Jakob Hansen Denmark
Mingzhan Xue United Kingdom
Yoshio Ogura Japan
Lei Du China
Kevin J. Pearson United States
Reinis Vilšķe̅rsts relative to Janis Kuka Latvia Janis Kuka's profile →
Citations per field
00.5×1.5×
Janis Kuka · 1×
Citations per year

Countries citing papers authored by Reinis Vilšķe̅rsts

Since Specialization
Citations

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

Fields of papers citing papers by Reinis Vilšķe̅rsts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reinis Vilšķe̅rsts

This figure shows the co-authorship network connecting the top 25 collaborators of Reinis Vilšķe̅rsts. A scholar is included among the top collaborators of Reinis Vilšķe̅rsts 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 Reinis Vilšķe̅rsts. Reinis Vilšķe̅rsts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 10
5 11
6 31
7 111
8 70
9 14
10 16
11 56
12 18
13 23
14
Metabolomic studies of Experimental Diabetic Urine Samples by 1H NMR Spectroscopy and LC/MS Method
1
15 23
16 57
17 27
18 57
19 67
20 13

About Reinis Vilšķe̅rsts

Reinis Vilšķe̅rsts is a scholar working on Clinical Biochemistry, Physiology and Molecular Biology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (17 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Diet and metabolism studies (8 papers). The work is most often cited by research in Clinical Biochemistry (318 citations), Biological Psychiatry (42 citations) and Physiology (373 citations). Reinis Vilšķe̅rsts has collaborated with scholars based in Latvia, Russia and Sweden. Frequent co-authors include Maija Dambrova, Edgars Liepinsh, Marina Makrecka‐Kuka, Janis Kuka, Helena Cirule, Ivars Kalvinsh, Solveiga Grı̄nberga, Elīna Makarova, Osvalds Pugovičs and Baiba Švalbe. Their work appears in journals such as Biochemical Journal, Free Radical Biology and Medicine and Pharmacological Reviews.

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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