Justyna Wolak-Dinsmore

1.2k citations
12 papers · 923 indexed · h-index 11
Topics
Metabolomics and Mass Spectrometry Studies (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Metabolism and Genetic Disorders (3 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Justyna Wolak-Dinsmore

12 papers receiving 917 citations

Peers

Justyna Wolak-Dinsmore
Comparison fields: 5 of 83
  • Molecular Biology 354
  • Physiology 288
  • Epidemiology 275
  • Endocrinology, Diabetes and Metabolism 247
  • Surgery 148
Replace Jose L. Flores‐Guerrero with:
Jose L. Flores‐Guerrero Netherlands
Yuan Xu China
Wiesława Łysiak−Szydłowska Poland
Johanne G. Bloemen Netherlands
Akintunde O. Akinkuolie United States
Mariann I. Lassenius Finland
Hong Chang Tan Singapore
Signe Abitz Winther Denmark
Ida Gregersen Norway
Erdim Sertoğlu Türkiye
Justyna Wolak-Dinsmore relative to Jose L. Flores‐Guerrero Netherlands Jose L. Flores‐Guerrero's profile →
Citations per field
00.5×10×16.3×
Jose L. Flores‐Guerrero · 1×
Citations per year

Countries citing papers authored by Justyna Wolak-Dinsmore

Since Specialization
Citations

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

Fields of papers citing papers by Justyna Wolak-Dinsmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justyna Wolak-Dinsmore. 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 Justyna Wolak-Dinsmore. The network helps show where Justyna Wolak-Dinsmore may publish in the future.

Co-authorship network of co-authors of Justyna Wolak-Dinsmore

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 20
3 35
4 74
5 77
6 64
7 47
8 51
9 81
10 295
11 125
12 53

About Justyna Wolak-Dinsmore

Justyna Wolak-Dinsmore is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 12 papers that have together received 923 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (247 citations), Physiology (288 citations) and Epidemiology (275 citations). Justyna Wolak-Dinsmore has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Margery A. Connelly, Irina Shalaurova, James D. Otvos, James H. Stein, Rachel H. Mackey, Russell P. Tracy, Steven P. Matyus, Robin P.F. Dullaart, Eke G. Gruppen and Stephan J. L. Bakker. Their work appears in journals such as Clinical Chemistry, Nutrients and Clinica Chimica Acta.

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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