Anke M. Schulte

1.9k citations
26 papers · 944 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Fibroblast Growth Factor Research 3
    • Kruppel-like factors research 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Pancreatic function and diabetes 5

Anke M. Schulte

25 papers receiving 922 citations

Peers

Anke M. Schulte
Comparison fields: 5 of 89
  • Immunology and Allergy 84
  • Cell Biology 228
  • Molecular Biology 575
  • Microbiology 4
  • Cancer Research 68
Replace Suzanne Hosier with:
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Citations per field
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Citations per year

Countries citing papers authored by Anke M. Schulte

Since Specialization
Citations

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

Fields of papers citing papers by Anke M. Schulte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke M. Schulte. 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 Anke M. Schulte. The network helps show where Anke M. Schulte may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996177
2 2017176
3 1996141
4
Pleiotrophin and midkine in normal development and tumor biology.
199594
5 201676
6 200041
7 200935
8 199830
9 201924
10 201020
11 201319
12 200918
13 199514
14 200413
15 199613
16 202311
17 199710
18 201510
19 19957
20 20196

About Anke M. Schulte

Anke M. Schulte is a scholar working on Molecular Biology, Surgery, Cell Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 26 papers that have together received 944 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (6 papers), Pancreatic function and diabetes (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Fibroblast Growth Factor Research (3 papers), Kruppel-like factors research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Immunology and Allergy (84 citations), Cell Biology (228 citations), Molecular Biology (575 citations), Microbiology (4 citations) and Cancer Research (68 citations). Anke M. Schulte has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Anton Wellstein, Frank Czubayko, Armin Kurtz, Anna T. Riegel, Guy Berchem, Shoupeng Lai, Mark Ibberson, Robin Liechti, Matthias Mann and Francesca Sacco. Their work appears in journals such as Molecular Metabolism, Proceedings of the National Academy of Sciences, Journal of Visualized Experiments, Molecular Pain and Journal of Virology.

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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