G. Valet

2.1k citations
61 papers · 1.4k indexed · h-index 20

Impact in

  • Biophysics top 2%
    • Cell Image Analysis Techniques
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

G. Valet

58 papers receiving 1.3k citations

Peers

G. Valet
Comparison fields: 5 of 132
  • Biophysics 145
  • Neurology 177
  • Immunology 246
  • Physiology 225
  • Physiology 37
Replace Kathy Ragheb with:
Kathy Ragheb United States
Vadim S. Zinchuk Japan
Maurizio Previati Italy
Barbara Wiggert United States
Ian Pike United Kingdom
T. Örd United States
Harumichi Seguchi Japan
Yun‐Min Zheng United States
Seongsoo Lee South Korea
Susan M. Knobel United States
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Citations per field
00.5×2.6×
Kathy Ragheb · 1×
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-authorship network

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
#Work
1 20108
2 200527
3 200328
4
Individualized disease course prediction in high-grade non Hodgkin lymphoma (HG-NHL) patients
20020
5 199847
6 199715
7 19959
8 199236
9 199158
10 1988227
11 19885
12 198418
13 198115
14 198111
15 19801
16
Epstein-Barr virus-induced increase in the concanavalin-A receptor density of established EBV-negative lymphoma lines in vitro.
19805
17 19805
18 19789
19 19745
20 197213

About G. Valet

G. Valet is a scholar working on Biophysics, Biotechnology, Neurology, Physiology and Physiology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (10 papers), Erythrocyte Function and Pathophysiology (8 papers), Microbial Inactivation Methods (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), 3D Printing in Biomedical Research (4 papers), Immune Response and Inflammation (4 papers), Single-cell and spatial transcriptomics (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Biophysics (145 citations), Neurology (177 citations), Immunology (246 citations), Physiology (225 citations) and Physiology (37 citations). G. Valet has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include G. Rothe, G. W. Kreutzberg, Richard B. Banati, G. Ruhenstroth‐Bauer, Richard B. Banati, Volker Kachel, P. K. Lauf, Luis Moroder, Holger Gabriel and Jochen Gehrmann. Their work appears in journals such as Die Naturwissenschaften, Cytometry, Journal of Cellular Physiology, Annals of Hematology and Journal of Histochemistry & Cytochemistry.

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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