Maximilian Scheer

416 citations
30 papers · 267 · h-index 10

Impact in

    • Aquaculture disease management and microbiota
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Invertebrate Immune Response Mechanisms

Papers in

    • Neurofibromatosis and Schwannoma Cases 3
    • Neuroblastoma Research and Treatments 3
    • Meningioma and schwannoma management 9

Maximilian Scheer

27 papers receiving 256 citations

Peers

Maximilian Scheer
Comparison fields: 5 of 59
  • Immunology 128
  • Neurology 36
  • Aquatic Science 15
  • Cancer Research 26
  • Epidemiology 55
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Min Xiang China
Taeyun A. Lee South Korea
Jasmin Grählert Switzerland
Menghua Cai China
Peter Dias United States
Malin Östensson Sweden
Giovanna Donvito Italy
Rafael Di Marco Barros United Kingdom
Holly Whitton United States
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Citations per field
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Citations per year

Countries citing papers authored by Maximilian Scheer

Since Specialization
Citations

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

Fields of papers citing papers by Maximilian Scheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201357
2 201437
3 197528
4 201421
5 202118
6 202311
7 202110
8 202210
9 20209
10 20239
11 20219
12 20227
13 20237
14 20217
15 20226
16 20235
17 20242
18 20232
19 20232
20 20242

About Maximilian Scheer

Maximilian Scheer is a scholar working on Neurology, Epidemiology, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 30 papers that have together received 267 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (9 papers), Immune cells in cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), S100 Proteins and Annexins (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Neuroblastoma Research and Treatments (3 papers), Trigeminal Neuralgia and Treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Immunology (128 citations), Neurology (36 citations), Aquatic Science (15 citations), Cancer Research (26 citations) and Epidemiology (55 citations). Maximilian Scheer has collaborated with scholars based in Germany, Netherlands and Poland. Frequent co-authors include Magdalena Chadzińska, B.M.L. Verburg-van Kemenade, Gerhard Opelz, Christian Strauß, Elżbieta Kołaczkowska, Rüdiger Horstkorte, Sandra Leisz, Julian Prell, Christian Scheller and Kaya Bork. Their work appears in journals such as Cells, International Journal of Molecular Sciences, Journal of Personalized Medicine, Fish & Shellfish Immunology and Neuroscience.

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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