M. Burchert

848 total citations
18 papers, 724 citations indexed

About

M. Burchert is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, M. Burchert has authored 18 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 12 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in M. Burchert's work include Galectins and Cancer Biology (11 papers), Glycosylation and Glycoproteins Research (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). M. Burchert is often cited by papers focused on Galectins and Cancer Biology (11 papers), Glycosylation and Glycoproteins Research (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). M. Burchert collaborates with scholars based in Germany, Poland and Belgium. M. Burchert's co-authors include Hans‐Joachim Gabius, Jürgen Kopitz, Carolina Reitzenstein, Michael Cantz, B. M. Peskar, Michael Respondek, Nils Lambrecht, Klaus‐Michael Müller, Isabelle Salmon and Emad Tajkhorshid and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Biomaterials.

In The Last Decade

M. Burchert

18 papers receiving 712 citations

Peers

M. Burchert
Comparison fields: 5 of 81
  • Immunology 470
  • Molecular Biology 461
  • Oncology 78
  • Organic Chemistry 71
  • Cellular and Molecular Neuroscience 71
Replace Kazuyoshi Okamoto with:
Kazuyoshi Okamoto Japan
William Gillespie United States
Magali Fasseu France
Sarah Dickerson United States
Stefanos A. Tsiftsoglou Greece
Jonathan L. Huot Canada
Paul A. Poland United States
Dilshad H. Khan Canada
J Nath United States
Brian J. Raisler United States
Kazuyoshi Okamoto Japan View profile →
Citations per field, relative to M. Burchert
M. Burchert · 1×
Citations per year, relative to M. Burchert
M. Burchert · 1×

Countries citing papers authored by M. Burchert

Since Specialization
Citations

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

Fields of papers citing papers by M. Burchert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Burchert

This figure shows the co-authorship network connecting the top 25 collaborators of M. Burchert. A scholar is included among the top collaborators of M. Burchert 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 M. Burchert. M. Burchert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 34
2 30
3 14
4
Expression of galectin-3, galectin-3-binding epitopes and of Gal/GalNAc-binding sites in keratinocytes of the adult human epidermis
3
5 76
6
In vitro galectin-1 significantly modulates cell kinetics and the motility level of the U87 and U373 human glioblastoma cell lines.
1
7 32
8 47
9 246
10 73
11 6
12 1
13 53
14 3
15 1
16 2
17 100
18
Binding and possible function of calcium in the chloroplast.
2

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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