G. Kirschner

1.1k citations
31 papers · 879 · h-index 17

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 19
    • Sphingolipid Metabolism and Signaling 5
    • Metabolomics and Mass Spectrometry Studies 4
    • Lipid Membrane Structure and Behavior 4
    • Carbohydrate Chemistry and Synthesis 14

G. Kirschner

31 papers receiving 849 citations

Peers

G. Kirschner
Comparison fields: 5 of 74
  • Developmental Neuroscience 72
  • Cellular and Molecular Neuroscience 185
  • Molecular Biology 676
  • Cell Biology 143
  • Organic Chemistry 177
Replace Tinh N. Luong with:
Tinh N. Luong United States
Lorraine Morlock United States
Lucila A. Autilio United States
Ana Maria Lennon France
Wen Gao Canada
P.F. Urban France
Stefan von Berg Sweden
Abdullah Sultan United States
Philip A. S. Lowden United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by G. Kirschner

Since Specialization
Citations

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

Fields of papers citing papers by G. Kirschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988113
2 198592
3 198485
4 198979
5 198871
6 198560
7 199034
8 198634
9 198432
10 198531
11 199223
12 199022
13 199122
14 199422
15 198922
16 199921
17 198818
18 199015
19 198813
20 196813

About G. Kirschner

G. Kirschner is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Cellular and Molecular Neuroscience and Oncology, having authored 31 papers that have together received 879 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (19 papers), Carbohydrate Chemistry and Synthesis (14 papers), Sphingolipid Metabolism and Signaling (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Lipid Membrane Structure and Behavior (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Diet, Metabolism, and Disease (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). The work is most often cited by research in Developmental Neuroscience (72 citations), Cellular and Molecular Neuroscience (185 citations), Molecular Biology (676 citations), Cell Biology (143 citations) and Organic Chemistry (177 citations). G. Kirschner has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Sandro Sonnino, Guido Tettamanti, Domenico Acquotti, Riccardo Ghidoni, Marina Pitto, Vanna Chigorno, G. Toffano, D. Lo Presti, Dalila Moter Benvegnú and Roberto Dal Toso. Their work appears in journals such as Journal of Lipid Research, Chemistry and Physics of Lipids, Rapid Communications in Mass Spectrometry, Journal of Neuroscience and Carbohydrate Research.

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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