Haluk Avci

565 citations
9 papers · 477 · h-index 8

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Protein Tyrosine Phosphatases 2
    • Metabolism, Diabetes, and Cancer 1
    • Melanoma and MAPK Pathways 1
    • Cholesterol and Lipid Metabolism 4

Haluk Avci

9 papers receiving 467 citations

Peers

Haluk Avci
Comparison fields: 5 of 63
  • Cancer Research 92
  • Biochemistry 33
  • Molecular Biology 301
  • Surgery 174
  • Endocrinology, Diabetes and Metabolism 63
Replace Kayo Taketa with:
Kayo Taketa Japan
Sangwon Byun United States
Ju-Qiong Wang China
Cristina Millán Spain
Nermin Ali Japan
Hansook Kim Chong United States
Ni Zeng United States
Isabelle Suc France
Yasutaka Ota Japan
Xuemei Ge United States
Haluk Avci relative to Kayo Taketa Japan Kayo Taketa's profile →
Citations per field
00.5×1.5×1.9×
Kayo Taketa · 1×
Citations per year

Countries citing papers authored by Haluk Avci

Since Specialization
Citations

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

Fields of papers citing papers by Haluk Avci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1996133
2 2004100
3 200063
4 200445
5 200342
6 201033
7 201332
8 200527
9 20002

About Haluk Avci

Haluk Avci is a scholar working on Molecular Biology, Surgery, Cancer Research, Cardiology and Cardiovascular Medicine and Genetics, having authored 9 papers that have together received 477 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cancer, Lipids, and Metabolism (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Tyrosine Phosphatases (2 papers), Lipid metabolism and disorders (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cancer Research (92 citations), Biochemistry (33 citations), Molecular Biology (301 citations), Surgery (174 citations) and Endocrinology, Diabetes and Metabolism (63 citations). Haluk Avci has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Jörg Kotzka, Dirk Müller‐Wieland, Wilhelm Krone, Martina Munck, Stefan Lehr, Rüdiger Streicher, Gerhard Siemeister, Gunther Roth, Birgit Knebel and Philipp Lingohr. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, The Journal of Steroid Biochemistry and Molecular Biology, Orphanet Journal of Rare Diseases and Biochemical and Biophysical Research Communications.

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