Flora Beiche

611 citations
7 papers · 551 · h-index 6

Impact in

    • Inflammatory mediators and NSAID effects
    • Pharmacological Effects of Natural Compounds
  • Physiology top 10%
    • Pain Mechanisms and Treatments

Papers in

    • Fungal and yeast genetics research 2
    • Porphyrin Metabolism and Disorders 1
    • Receptor Mechanisms and Signaling 1
    • Biochemical and Molecular Research 1
    • Microbial Metabolic Engineering and Bioproduction 1
    • Inflammatory mediators and NSAID effects 3

Flora Beiche

7 papers receiving 526 citations

Peers

Flora Beiche
Comparison fields: 5 of 67
  • Pharmacology 271
  • Physiology 271
  • Biochemistry 62
  • Cellular and Molecular Neuroscience 148
  • Pharmacology 43
Replace Kana Taniguchi with:
Kana Taniguchi Japan
R.L. Follenfant United Kingdom
A. Hasselblatt Germany
Anita Rackham Canada
Rachel M. Mayers United Kingdom
Masaki Toriyabe Japan
Miao Tan China
Maria José García‐Barrado Spain
Mounir Belkouch France
Fa-Le Cao China
Flora Beiche relative to Kana Taniguchi Japan Kana Taniguchi's profile →
Citations per field
00.5×1.5×
Kana Taniguchi · 1×
Citations per year

Countries citing papers authored by Flora Beiche

Since Specialization
Citations

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

Fields of papers citing papers by Flora Beiche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Flora Beiche, 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 Flora Beiche Line = papers co-authored together Flora Beiche links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1996299
2 199894
3 199872
4 199746
5 199733
6 19955
7 19962

About Flora Beiche

Flora Beiche is a scholar working on Molecular Biology, Pharmacology, Surgery, Ecology, Evolution, Behavior and Systematics and Physiology, having authored 7 papers that have together received 551 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Anesthesia and Pain Management (2 papers), Fungal and yeast genetics research (2 papers), Estrogen and related hormone effects (1 paper), Porphyrin Metabolism and Disorders (1 paper), Receptor Mechanisms and Signaling (1 paper), Biochemical and Molecular Research (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Pharmacology (271 citations), Physiology (271 citations), Biochemistry (62 citations), Cellular and Molecular Neuroscience (148 citations) and Pharmacology (43 citations). Flora Beiche has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Margarete Goppelt‐Struebe, Gerd Geißlinger, Kay Brune, Stefan Scheuerer, Thomas Klein, Rolf M. Nüsing, Winfried Neuhuber, Bjarne Hove‐Jensen, Michael Schweizer and Arjan Narbad. Their work appears in journals such as Journal of Neuroimmunology, FEBS Letters, Advances in experimental medicine and biology, Biochemical Society Transactions and Current Genetics.

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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