Daniel Kanmert

628 citations
11 papers · 502 · h-index 7

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

Daniel Kanmert

10 papers receiving 498 citations

Peers

Daniel Kanmert
Comparison fields: 5 of 59
  • Neurology 114
  • Physiology 220
  • Cancer Research 65
  • Molecular Biology 294
  • Cellular and Molecular Neuroscience 71
Replace Emmanuelle Briard with:
Emmanuelle Briard Switzerland
Eva Borger United Kingdom
Devin S. Iimoto United States
Deepa V. Dabir United States
Jennifer A. Macdonald United Kingdom
Romina Hofele Germany
Reinhold Müller Germany
Adam Cantlon United States
Senthilvelrajan Kaniyappan Germany
Yong Ran United States
Daniel Kanmert relative to Emmanuelle Briard Switzerland Emmanuelle Briard's profile →
Citations per field
00.5×3.9×
Emmanuelle Briard · 1×
Citations per year

Countries citing papers authored by Daniel Kanmert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kanmert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2013166
2 2015134
3 201583
4 200862
5 201425
6 200817
7 20118
8 20114
9 20142
10 20091
11
Structure and Interactions of Human IgG-Fc
20110

About Daniel Kanmert

Daniel Kanmert is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology, Organic Chemistry and Pharmacology, having authored 11 papers that have together received 502 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Biosensing Techniques and Applications (4 papers), Alzheimer's disease research and treatments (3 papers), Glycosylation and Glycoproteins Research (3 papers), Protein purification and stability (1 paper), Gene expression and cancer classification (1 paper), Click Chemistry and Applications (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (114 citations), Physiology (220 citations), Cancer Research (65 citations), Molecular Biology (294 citations) and Cellular and Molecular Neuroscience (71 citations). Daniel Kanmert has collaborated with scholars based in Sweden, United States and Ireland. Frequent co-authors include Dominic M. Walsh, Tiernan T. O’Malley, Dennis J. Selkoe, Ming Jin, Christina Muratore, Tracy L. Young‐Pearse, Adam Cantlon, Gloria Lee, Alexandra J. Mably and Cynthia A. Lemere. Their work appears in journals such as Bioconjugate Chemistry, Alzheimer s & Dementia, Journal of Neuroscience, Scandinavian Journal of Immunology and Molecular Brain.

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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