Scarlet Brockmöller

1.1k citations
6 papers · 401 indexed · h-index 4
Topics
Metabolomics and Mass Spectrometry Studies (5 papers)Cancer, Lipids, and Metabolism (3 papers)Cancer, Hypoxia, and Metabolism (3 papers)

In The Last Decade

Scarlet Brockmöller

6 papers receiving 398 citations

Peers

Scarlet Brockmöller
Comparison fields: 5 of 64
  • Molecular Biology 344
  • Cancer Research 220
  • Spectroscopy 66
  • Genetics 30
  • Oncology 29
Replace Vincent de Laat with:
Vincent de Laat Belgium
Majda Haznadar United States
Martina Klevstig Sweden
Olivier Maurhofer Switzerland
Akash Kaushik United States
Jordi Capellades Spain
Cândida Z. Cotrim Portugal
Yuen-Li Chung United Kingdom
Detra D. Johnson United States
Scarlet Brockmöller relative to Vincent de Laat Belgium Vincent de Laat's profile →
Citations per field
00.5×4.3×
Vincent de Laat · 1×
Citations per year

Countries citing papers authored by Scarlet Brockmöller

Since Specialization
Citations

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

Fields of papers citing papers by Scarlet Brockmöller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scarlet Brockmöller

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 137
2 79
3 122
4 59
5
METAtarget - Extracting Key Enzymes of Metabolic Regulation from Highthroughput Metabolomics Data using KEGG REACTION Information.
1
6
[Infectious causes of death in renal transplant patients. A clinical pathological autopsy study].
3

About Scarlet Brockmöller

Scarlet Brockmöller is a scholar working on Cancer Research, Clinical Biochemistry and Biochemistry, having authored 6 papers that have together received 401 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (220 citations), Molecular Biology (344 citations) and Spectroscopy (66 citations). Scarlet Brockmöller has collaborated with scholars based in Germany, United Kingdom and Finland. Frequent co-authors include Carsten Denkert, Julian L. Griffin, Oliver Fiehn, Jan Budczies, Matej Orešič, Manfred Dietel, Berit Müller, Christiane Richter-Ehrenstein, Dinesh Kumar Barupal and Mika Hilvo. Their work appears in journals such as BMC Genomics, Journal of Proteome Research and Genome Medicine.

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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