Michael Wilken

3.8k citations
77 papers · 2.9k indexed · 1 hit paper · h-index 27

Michael Wilken

76 papers receiving 2.7k citations

Hit Papers

Potent Derivatives of Glucagon-like Peptide-1 with Pharma...20002026200820172000100200300400500

Peers

Michael Wilken
Comparison fields: 5 of 151
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Surgery 893
  • Molecular Biology 846
  • Health, Toxicology and Mutagenesis 447
  • Physiology 244
Replace Sahoko Ichihara with:
Sahoko Ichihara Japan
Heinz Rupp Germany
Thomas A. Pressley United States
Zemin Wang United States
Nobutaka Ohgami Japan
Yixuan Zhang China
Yifan Li China
Ruixin Liu China
Rui Wei China
Chih‐Hao Wang Taiwan
Michael Wilken relative to Sahoko Ichihara Japan Sahoko Ichihara's profile →
Citations per field
00.5×1.5×
Sahoko Ichihara · 1×
Citations per year

Countries citing papers authored by Michael Wilken

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wilken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wilken

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wilken. A scholar is included among the top collaborators of Michael Wilken 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 Michael Wilken. Michael Wilken 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 6
2 8
3 2
4 7
5 24
6 32
7 42
8 3
9 7
10 19
11 20
12 13
13 32
14 30
15 14
16 176
17 14
18 49
19 41
20 23

About Michael Wilken

Michael Wilken is a scholar working on Health, Toxicology and Mutagenesis, Fluid Flow and Transfer Processes and Endocrinology, Diabetes and Metabolism, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (26 papers), Carcinogens and Genotoxicity Assessment (13 papers) and Pancreatic function and diabetes (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Health, Toxicology and Mutagenesis (447 citations) and Endocrine and Autonomic Systems (157 citations). Michael Wilken has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Lotte Bjerre Knudsen, Bidda Rolin, Marianne O. Larsen, Per F. Nielsen, Nils L. Johansen, Henning Thøgersen, Kjeld Madsen, C. F. Gotfredsen, Richard D. Carr and Carolyn F. Deacon. Their work appears in journals such as Environmental Science & Technology, Diabetes and Applied Catalysis B: Environmental.

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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