Petros Karakitsos

5.6k citations
217 papers · 3.9k indexed · h-index 33

Petros Karakitsos

212 papers receiving 3.8k citations

Peers

Petros Karakitsos
Comparison fields: 5 of 147
  • Obstetrics and Gynecology 402
  • Epidemiology 1.2k
  • Health Informatics 38
  • Oncology 752
  • Reproductive Medicine 228
Replace Cheng‐Chang Chang with:
Cheng‐Chang Chang Taiwan
Jianhua Zhou China
Alberto M. Marchevsky United States
Luca Tagliaferri Italy
Toyomi Satoh Japan
Sudeep Gupta India
Vivek Narayan United States
Veerle M.H. Coupé Netherlands
Akihiro Nishie Japan
Runjan Chetty Canada
Petros Karakitsos relative to Cheng‐Chang Chang Taiwan Cheng‐Chang Chang's profile →
Citations per field
00.5×1.5×1.8×
Cheng‐Chang Chang · 1×
Citations per year

Countries citing papers authored by Petros Karakitsos

Since Specialization
Citations

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

Fields of papers citing papers by Petros Karakitsos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201925
2 20178
3 20175
4 201620
5 201512
6 20141
7 201415
8 20142
9 20149
10 201351
11 201211
12 201273
13 201237
14 201164
15 201018
16 200636
17 200524
18
Image analysis (DNA ploidy) and expression of c-erb B-2 and p53 in imprint smears of breast cancer.
20032
19 199841
20 199736

About Petros Karakitsos

Petros Karakitsos is a scholar working on Obstetrics and Gynecology, Epidemiology and Reproductive Medicine, having authored 217 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (54 papers), AI in cancer detection (19 papers), Endometrial and Cervical Cancer Treatments (17 papers), Genital Health and Disease (12 papers), Ovarian cancer diagnosis and treatment (11 papers), Hepatitis B Virus Studies (10 papers), Cancer Genomics and Diagnostics (9 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Obstetrics and Gynecology (402 citations), Epidemiology (1.2k citations) and Health Informatics (38 citations). Petros Karakitsos has collaborated with scholars based in Greece, United States and United Kingdom. Frequent co-authors include Abraham Pouliakis, Aris Spathis, George Peros, Ioannis Panayiotides, D. Kalogirou, Niki Margari, Evangelos Paraskevaidis, Christine Kottaridi, Christos D. Liapis and Maria Kyrgiou. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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