Maaike Schilperoort

1.6k citations
24 papers · 1.2k · 1 hit paper · h-index 16

Impact in

Papers in

Maaike Schilperoort

23 papers receiving 1.2k citations

Maaike Schilperoort's Hit Papers

Macrophage-targeted nanomedicine for the diagnosis and treatment of atherosclerosis 2021 · 398 citations
3980+1+3Years since publication100200300

Peers

Maaike Schilperoort
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 100
  • Immunology 306
  • Behavioral Neuroscience 50
  • Physiology 340
  • Biological Psychiatry 15
Replace Yohko Yoshida with:
Yohko Yoshida Japan
Isabel M. Mol Netherlands
Ji-Min Cao China
Abdelrahman Y. Fouda United States
Junming Fan China
Jitka Kuncová Czechia
Canxin Xu China
Qiang Tong China
Paul Fransen Belgium
Maaike Schilperoort relative to Yohko Yoshida Japan Yohko Yoshida's profile →
Citations per field
00.5×3.6×
Yohko Yoshida · 1×
Citations per year

Countries citing papers authored by Maaike Schilperoort

Since Specialization
Citations

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

Fields of papers citing papers by Maaike Schilperoort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Macrophage-targeted nanomedicine for the diagnosis and treatment of atherosclerosis
Hit paper breakdown →
2021398
2 2017106
3 202388
4 202387
5 201880
6 201568
7 201646
8 202344
9 201840
10 202139
11 201937
12 202121
13 201921
14 202017
15 202116
16 202015
17 202113
18 202211
19 20218
20 20204

About Maaike Schilperoort

Maaike Schilperoort is a scholar working on Physiology, Endocrine and Autonomic Systems, Immunology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Adipose Tissue and Metabolism (5 papers), Phagocytosis and Immune Regulation (5 papers), Immune cells in cancer (4 papers), Dietary Effects on Health (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (100 citations), Immunology (306 citations), Behavioral Neuroscience (50 citations), Physiology (340 citations) and Biological Psychiatry (15 citations). Maaike Schilperoort has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Ira Tabas, Yihai Cao, Jinjun Shi, Wei Tao, Wei Chen, Sander Kooijman, Patrick C.N. Rensen, David Ngai, Marina Katerelos and Andrea D. van Dam. Their work appears in journals such as Nature Metabolism, Aging Cell, Scientific Reports, Journal of Endocrinology and Molecular Metabolism.

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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