Agapi Kataki

734 citations
37 papers · 544 · h-index 14

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Epigenetics and DNA Methylation 3
    • 14-3-3 protein interactions 2
    • Pancreatic and Hepatic Oncology Research 3

Agapi Kataki

36 papers receiving 528 citations

Peers

Agapi Kataki
Comparison fields: 5 of 75
  • Oncology 157
  • Immunology 107
  • Cancer Research 48
  • Molecular Biology 201
  • Cell Biology 41
Replace Di Xiang with:
Di Xiang China
Rocky Pramanik United States
Holger Lörchner Germany
Xiaoyan Qiu China
Hidenori Kasahara Japan
Qianghua Hu United States
Florian Wirsdörfer Germany
Jiuyang Liu China
Souichi Tsutsumi Japan
Natasha Jeffs United Kingdom
Agapi Kataki relative to Di Xiang China Di Xiang's profile →
Citations per field
00.5×1.5×1.9×
Di Xiang · 1×
Citations per year

Countries citing papers authored by Agapi Kataki

Since Specialization
Citations

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

Fields of papers citing papers by Agapi Kataki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002142
2 200150
3 200721
4 200821
5 201521
6 200120
7 200820
8 202119
9 201219
10 201419
11 200919
12
P53 and C-FOS overexpression in patients with thyroid cancer: an immunohistochemical study.
200315
13 199814
14 201914
15 202313
16 201212
17 202212
18 199012
19 200910
20 20039

About Agapi Kataki

Agapi Kataki is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 544 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), BRCA gene mutations in cancer (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), 14-3-3 protein interactions (2 papers), Immune cells in cancer (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Autophagy in Disease and Therapy (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Oncology (157 citations), Immunology (107 citations), Cancer Research (48 citations), Molecular Biology (201 citations) and Cell Biology (41 citations). Agapi Kataki has collaborated with scholars based in Greece, United States and Slovakia. Frequent co-authors include Philippe Scheid, Yves Martinet, Béatrice Marie, Jean-Michel Vignaud, Nadine Martinet, Constantine P. Karakousis, George Zografos, Manousos M. Konstadoulakis, Nikolaos Memos and Manoussos M. Konstadoulakis. Their work appears in journals such as Shock, Brain Research, British Journal of Haematology, Frontiers in Oncology and American Journal of Otolaryngology.

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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