Kiki Schraa

1.4k total citations
20 papers, 678 citations indexed

About

Kiki Schraa is a scholar working on Epidemiology, Surgery and Immunology. According to data from OpenAlex, Kiki Schraa has authored 20 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 6 papers in Surgery and 6 papers in Immunology. Recurrent topics in Kiki Schraa's work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiovascular Disease and Adiposity (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Kiki Schraa is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiovascular Disease and Adiposity (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). Kiki Schraa collaborates with scholars based in Netherlands, Romania and United States. Kiki Schraa's co-authors include Leo A. B. Joosten, Mihai G. Netea, Maartje C. P. Cleophas, Niels P. Riksen, Inge van den Munckhof, Joost H.W. Rutten, Charles A. Dinarello, Viola Klück, Tim Jansen and M. Efdé and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Kiki Schraa

20 papers receiving 674 citations

Peers

Kiki Schraa
Comparison fields: 5 of 80
  • Molecular Biology 333
  • Epidemiology 178
  • Immunology 159
  • Physiology 123
  • Surgery 92
Replace Yan-Rong Yu with:
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Alena Sekerková Czechia
Agata Sakowicz Poland
Mei Xue China
Xiaofang Hu China
Christophe Buffat France
Xiaoli Lou China
Ashok Kumar Kumawat Sweden
Chuansheng Guo China
Yan-Rong Yu China View profile →
Citations per field, relative to Kiki Schraa
Kiki Schraa · 1×
Citations per year, relative to Kiki Schraa
Kiki Schraa · 1×

Countries citing papers authored by Kiki Schraa

Since Specialization
Citations

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

Fields of papers citing papers by Kiki Schraa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiki Schraa

This figure shows the co-authorship network connecting the top 25 collaborators of Kiki Schraa. A scholar is included among the top collaborators of Kiki Schraa 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 Kiki Schraa. Kiki Schraa 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
# Work Indexed citations
1 7
2 6
3 4
4 5
5 19
6 15
7 27
8 65
9 197
10 95
11 13
12 105
13 60
14 3
15 3
16
Predictive value of ex-vivo drug-inhibited cytokine production for clinical response to biologic DMARD therapy in rheumatoid arthritis.
6
17 14
18
Ex vivo inhibited cytokine profiling may explain inferior treatment response to golimumab after adalimumab failure in rheumatoid arthritis.
1
19 1
20 32

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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