R. Mailhammer

1.4k total citations · 2 hit papers
10 papers, 1.3k citations indexed

About

R. Mailhammer is a scholar working on Molecular Biology, Ecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, R. Mailhammer has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in R. Mailhammer's work include Glycosylation and Glycoproteins Research (2 papers), Mast cells and histamine (2 papers) and RNA Interference and Gene Delivery (2 papers). R. Mailhammer is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Mast cells and histamine (2 papers) and RNA Interference and Gene Delivery (2 papers). R. Mailhammer collaborates with scholars based in Germany, United States and Slovakia. R. Mailhammer's co-authors include Andréas Faissner, Christo Goridis, Jan Matthias Kruse, Melitta Schachner, I. Sommer, Urs Rutishauser, Robert Brackenbury, S Hoffman, Gerald M. Edelman and Perrin C. White and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

R. Mailhammer

10 papers receiving 1.2k citations

Hit Papers

Neural cell adhesion molecules and myelin-associated glyc... 1982 2026 1996 2011 1984 1982 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Mailhammer Germany 10 794 312 281 250 212 10 1.3k
Roland Tacke United States 14 1.9k 2.4× 300 1.0× 198 0.7× 129 0.5× 174 0.8× 15 2.3k
Marie-Josée Santoni France 23 1.3k 1.7× 270 0.9× 663 2.4× 141 0.6× 163 0.8× 30 1.8k
Michelle LaFevre-Bernt United States 8 898 1.1× 377 1.2× 185 0.7× 161 0.6× 60 0.3× 9 1.2k
Alphonse Krystosek United States 17 850 1.1× 341 1.1× 267 1.0× 80 0.3× 74 0.3× 25 1.5k
Masaharu Kotani Japan 22 902 1.1× 205 0.7× 325 1.2× 276 1.1× 77 0.4× 59 1.6k
Marie‐Madeleine Portier France 21 1.1k 1.4× 309 1.0× 816 2.9× 184 0.7× 72 0.3× 49 1.8k
Juan-Pablo Labrador United States 16 1.0k 1.3× 828 2.7× 661 2.4× 149 0.6× 375 1.8× 20 1.8k
Mary Vinson United Kingdom 13 778 1.0× 623 2.0× 152 0.5× 412 1.6× 64 0.3× 16 1.4k
Robert Shiurba Japan 20 546 0.7× 112 0.4× 147 0.5× 208 0.8× 87 0.4× 42 1.2k
Yufang Zheng China 24 989 1.2× 239 0.8× 156 0.6× 175 0.7× 169 0.8× 64 1.7k

Countries citing papers authored by R. Mailhammer

Since Specialization
Citations

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

Fields of papers citing papers by R. Mailhammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mailhammer

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

All Works

10 of 10 papers shown
1.
Hültner, Lothar, et al.. (1996). Kinetics of interleukin‐6 production after experimental infection of mice with Schistosoma mansoni. Immunology. 89(2). 256–261. 13 indexed citations
3.
Egger, Denise, Claudio Denzlinger, Edgar Schmitt, et al.. (1995). IL-4 renders mast cells functionally responsive to endothelin-1.. The Journal of Immunology. 154(4). 1830–1837. 40 indexed citations
4.
Munker, Reinhold, et al.. (1993). Effects of Tumor Necrosis-Factor on Primary Human Leukemia Cells: Ultrastructural Changes. Acta Haematologica. 90(2). 77–83. 9 indexed citations
5.
Reisbach, G., Ilse Bartke, Bettina Kempkes, et al.. (1993). Characterization of hemopoietic cell populations from human cord blood expressing c-kit.. PubMed. 21(1). 74–9. 42 indexed citations
7.
Kruse, Jan Matthias, R. Mailhammer, Andréas Faissner, et al.. (1984). Neural cell adhesion molecules and myelin-associated glycoprotein share a common carbohydrate moiety recognized by monoclonal antibodies L2 and HNK-1. Nature. 311(5982). 153–155. 645 indexed citations breakdown →
8.
Hoffman, S, Barbara C. Sorkin, Perrin C. White, et al.. (1982). Chemical characterization of a neural cell adhesion molecule purified from embryonic brain membranes.. Journal of Biological Chemistry. 257(13). 7720–7729. 400 indexed citations breakdown →
9.
Zillig, Wolfram, et al.. (1977). Covalent Structural Modification of DNA-Dependent RNA Polymerase as a Means for Transcriptional Control. Current topics in cellular regulation. 12. 263–271. 19 indexed citations
10.
Mailhammer, R., Huilin Yang, C. Gary Reiness, & Geoffrey Zubay. (1975). Effects of bacteriophage T4-induced modification of Escherichia coli RNA polymerase on gene expression in vitro.. Proceedings of the National Academy of Sciences. 72(12). 4928–4932. 32 indexed citations

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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