G E Valkirs

529 citations
9 papers · 397 · h-index 7

Impact in

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

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Gene expression and cancer classification 1
    • S100 Proteins and Annexins 1
    • Protist diversity and phylogeny 1
    • Respiratory viral infections research 1

G E Valkirs

9 papers receiving 360 citations

Peers

G E Valkirs
Comparison fields: 5 of 79
  • Toxicology 23
  • Molecular Biology 230
  • Neurology 23
  • Epidemiology 80
  • Neurology 33
Replace JB Weinberg with:
JB Weinberg United States
Dan Fu China
H. Schüller Germany
Arno Sinjewel Netherlands
Stanley Samuels United States
Yuki Kikuchi Japan
Sabine Baumgart Germany
Kevin J. Wilson United States
N. Ramachandran Canada
Claudia Lee United States
G E Valkirs relative to JB Weinberg United States JB Weinberg's profile →
Citations per field
00.5×4.2×
JB Weinberg · 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 2003192
2 199257
3 198543
4 198340
5 198239
6 198215
7 19967
8 19863
9
Protein Arrays--A New Option.
20021

About G E Valkirs

G E Valkirs is a scholar working on Molecular Biology, Epidemiology, Renewable Energy, Sustainability and the Environment, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 397 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), S100 Proteins and Annexins (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper), Protist diversity and phylogeny (1 paper), Respiratory viral infections research (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Toxicology (23 citations), Molecular Biology (230 citations), Neurology (23 citations), Epidemiology (80 citations) and Neurology (33 citations). G E Valkirs has collaborated with scholars based in United States. Frequent co-authors include G. Fehér, Richard Barton, Kenneth F. Buechler, Daniel T. Laskowitz, Jeffrey R. Dahlen, Mark A. Reynolds, Paul McPherson, HOWARD J. KIRCHICK, M. Y. Okamura and Edward C. Abresch. Their work appears in journals such as Clinical Chemistry, Immunotechnology, Biochemistry, Scientific American and The Journal of Cell Biology.

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.

Explore authors with similar magnitude of impact