Levent Akyüz

19 papers receiving 925 citations

Levent Akyüz's Hit Papers

High prevalence of Streptococcus pyogenes Cas9-reactive T cells within the adult human population 2018 · 305 citations
3050+2+5Years since publication100200300

Peers

Levent Akyüz
Comparison fields: 5 of 89
  • Genetics 143
  • Business and International Management 31
  • Developmental Neuroscience 52
  • Neurology 78
  • Critical Care and Intensive Care Medicine 31
Replace Dakai Mu with:
Dakai Mu United States
Gloria Galloway United States
Eugen Radu Romania
Farah Shahjin United States
Naohide Ageyama Japan
Lawrence T. Bish United States
Georgia Barlovatz‐Meimon France
Kathrin Kalies Germany
William O. Thayer United States
Andres Gutierrez United States
Levent Akyüz relative to Dakai Mu United States Dakai Mu's profile →
Citations per field
00.5×5.8×
Dakai Mu · 1×
Citations per year

Countries citing papers authored by Levent Akyüz

Since Specialization
Citations

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

Fields of papers citing papers by Levent Akyüz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
High prevalence of Streptococcus pyogenes Cas9-reactive T cells within the adult human population
Hit paper breakdown →
2018305
2 2013271
3 201575
4 201554
5 201553
6 201348
7 201835
8 201828
9 202126
10 201417
11 202213
12 20226
13 20214
14 20153
15 20223
16 20241
17 20161
18 20231
19 20171

About Levent Akyüz

Levent Akyüz is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Epidemiology, having authored 19 papers that have together received 945 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Neonatal Respiratory Health Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Genetics (143 citations), Business and International Management (31 citations), Developmental Neuroscience (52 citations), Neurology (78 citations) and Critical Care and Intensive Care Medicine (31 citations). Levent Akyüz has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Hans‐Dieter Volk, Petra Reinke, Dimitrios L. Wagner, Désirée J. Wendering, Leila Amini, Michael Schmueck‐Henneresse, Christian Meisel, Kerstin Juelke, Nadine Unterwalder and Verena Schwachmeyer. Their work appears in journals such as Blood, American Journal of Respiratory Cell and Molecular Biology, Science Translational Medicine, PLoS ONE and Nature Medicine.

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