Ugur Aytac

593 citations
13 papers · 334 indexed · h-index 10
Topics
Peptidase Inhibition and Analysis (9 papers)Ubiquitin and proteasome pathways (4 papers)Lung Cancer Research Studies (4 papers)

In The Last Decade

Ugur Aytac

13 papers receiving 329 citations

Peers

Ugur Aytac
Comparison fields: 5 of 54
  • Oncology 238
  • Molecular Biology 144
  • Cellular and Molecular Neuroscience 77
  • Cancer Research 62
  • Endocrinology, Diabetes and Metabolism 55
Replace Kathleen T. Gallagher with:
Kathleen T. Gallagher United States
Shi‐Ming Chang United States
Yanling Fan China
Weimin Hu United States
Deepika Neelakantan United States
George Sflomos Switzerland
Tang Bu-jian China
Maria Teresa Vento Italy
Sang-Hyun Song South Korea
Ugur Aytac relative to Kathleen T. Gallagher United States Kathleen T. Gallagher's profile →
Citations per field
00.5×4.6×
Kathleen T. Gallagher · 1×
Citations per year

Countries citing papers authored by Ugur Aytac

Since Specialization
Citations

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

Fields of papers citing papers by Ugur Aytac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ugur Aytac

This figure shows the co-authorship network connecting the top 25 collaborators of Ugur Aytac. A scholar is included among the top collaborators of Ugur Aytac based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ugur Aytac. Ugur Aytac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 3
3 24
4 61
5 43
6 27
7 19
8 10
9
In vitro and in vivo antitumor effect of the anti-CD26 monoclonal antibody 1F7 on human CD30+ anaplastic large cell T-cell lymphoma Karpas 299.
61
10
Expression of CD26 and its associated dipeptidyl peptidase IV enzyme activity enhances sensitivity to doxorubicin-induced cell cycle arrest at the G(2)/M checkpoint.
29
11 5
12 27
13
Q-modification of tRNAs in human brain tumors.
22

About Ugur Aytac

Ugur Aytac is a scholar working on Oncology, Immunology and Allergy and Molecular Biology, having authored 13 papers that have together received 334 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Oncology (238 citations), Cellular and Molecular Neuroscience (77 citations) and Cancer Research (62 citations). Ugur Aytac has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Nam H. Dang, Chikao Morimoto, Kei Ohnuma, Kathryn S. McKee, Toshiko Yamochi, Kazuya Sato, Ufuk Gündüz, Tadanori Yamochi, Tsutomu Sato and Gordon B. Mills. Their work appears in journals such as Cancer Research, Oncogene 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.

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