G E Valkirs

532 citations
9 papers · 452 · h-index 7

Impact in

  • Toxicology top 10%
    • Forensic Toxicology and Drug Analysis
    • Photosynthetic Processes and Mechanisms
    • S100 Proteins and Annexins
    • Advanced biosensing and bioanalysis techniques
    • Advanced Biosensing Techniques and Applications

Papers in

G E Valkirs

9 papers receiving 388 citations

Peers

G E Valkirs
Comparison fields: 5 of 85
  • Toxicology 27
  • Molecular Biology 261
  • Neurology 24
  • Epidemiology 86
  • Neurology 35
Replace Isabel Lema with:
Isabel Lema Spain
Ingo Franke Germany
Qiuyan Shi China
Justin J. Kurian United States
Alexander Robinson United Kingdom
Helene Halkjær Jensen Denmark
Goetz Hofhaus Germany
J.-C. Beloeil France
Yuki Kikuchi Japan
Kevin J. Wilson United States
G E Valkirs relative to Isabel Lema Spain Isabel Lema's profile →
Citations per field
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Isabel Lema · 1×
Citations per year

Countries citing papers authored by G E Valkirs

Since Specialization
Citations

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

Fields of papers citing papers by G E Valkirs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside G E Valkirs, 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 E Valkirs Line = papers co-authored together G E Valkirs links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2003198
2 199280
3 198551
4 198348
5 198243
6 198218
7 19968
8 19864
9
Protein Arrays--A New Option.
20022

About G E Valkirs

G E Valkirs is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology, Biotechnology, Epidemiology and Cancer Research, having authored 9 papers that have together received 452 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Algal biology and biofuel production (2 papers), Gene expression and cancer classification (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Respiratory viral infections research (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Analytical Chemistry and Chromatography (1 paper) and Microfluidic and Capillary Electrophoresis Applications (1 paper). The work is most often cited by research in Toxicology (27 citations), Molecular Biology (261 citations), Neurology (24 citations), Epidemiology (86 citations) and Neurology (35 citations). G E Valkirs has collaborated with scholars based in United States. Frequent co-authors include G. Fehér, Richard Barton, Daniel T. Laskowitz, Kenneth F. Buechler, Mark Allan Reynolds, Paul McPherson, HOWARD J. KIRCHICK, Jeffrey R. Dahlen, M. Y. Okamura and Edward C. Abresch. Their work appears in journals such as Clinical Chemistry, The Journal of Cell Biology, Biochemistry, Scientific American and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

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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