G. Valet

66 papers receiving 1.5k citations

Peers

G. Valet
Comparison fields: 5 of 131
  • Biophysics 213
  • Neurology 185
  • Immunology 279
  • Developmental Neuroscience 42
  • Physiology 49
Replace Yeung Bae Jin with:
Yeung Bae Jin South Korea
Kathy Ragheb United States
Vadim S. Zinchuk Japan
Christine B. Gurniak Germany
Susan M. Knobel United States
Francesc Miralles United Kingdom
Maurizio Previati Italy
RICHARD A. TORRES United States
Seongsoo Lee South Korea
Simone Kühnle Germany
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Citations per field
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Citations per year

Countries citing papers authored by G. Valet

Since Specialization
Citations

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

Fields of papers citing papers by G. Valet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988243
2 1991176
3 1993104
4
Flow-cytometric characterization of stimulation, free radical formation, peroxidase activity and phagocytosis of human granulocytes with 2,7-dichlorofluorescein (DCF).
1987102
5 199494
6 198174
7 199170
8 200459
9 199850
10 197944
11 200536
12 198036
13 200333
14 199333
15
Predictive medicine by cytomics: potential and challenges.
200332
16 198531
17
Cathepsin B-indicator for the release of lysosomal cysteine proteinases in severe trauma and inflammation.
199029
18 197628
19
Past and present concepts in flow cytometry: a European perspective.
200325
20 197924

About G. Valet

G. Valet is a scholar working on Biophysics, Biotechnology, Physiology, Neurology and Biomedical Engineering, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (10 papers), Erythrocyte Function and Pathophysiology (9 papers), Cell Image Analysis Techniques (6 papers), Microbial Inactivation Methods (6 papers), Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune Response and Inflammation (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Biophysics (213 citations), Neurology (185 citations), Immunology (279 citations), Developmental Neuroscience (42 citations) and Physiology (49 citations). G. Valet has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Gregor Rothe, G. W. Kreutzberg, Gerhard Ruhenstroth-Bauer, Richard B. Banati, Andreas Emmendörffer, Joachim Roesler, Attila Tárnok, James F. Leary, Richard B. Banati and P. K. Lauf. Their work appears in journals such as Cytometry, Die Naturwissenschaften, Journal of Histochemistry & Cytochemistry, Annals of Hematology and Journal of Cellular Physiology.

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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