Kitty Pavlakis

77 papers receiving 1.6k citations

Peers

Kitty Pavlakis
Comparison fields: 5 of 96
  • Obstetrics and Gynecology 199
  • Reproductive Medicine 166
  • Cancer Research 276
  • Oncology 391
  • Pathology and Forensic Medicine 131
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Clyde Riley Australia
Laura Zanotti Italy
Xingsheng Yang China
Guidalberto Fabris Italy
Rosina T. Lis United States
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Hiroyasu Kashima Japan
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Citations per year

Countries citing papers authored by Kitty Pavlakis

Since Specialization
Citations

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

Fields of papers citing papers by Kitty Pavlakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011139
2 200882
3
Image analysis of breast cancer immunohistochemistry-stained sections using ImageJ: an RGB-based model.
200979
4 200669
5 202264
6 201164
7 201760
8 200958
9 201148
10 200648
11 201846
12
The expression of matrix metalloproteinases-2 and -9 and their tissue inhibitor 2 in pancreatic ductal and ampullary carcinoma and their relation to angiogenesis and clinicopathological parameters.
200845
13 200845
14 201044
15 200843
16 200641
17 201336
18 201332
19 202331
20 201230

About Kitty Pavlakis

Kitty Pavlakis is a scholar working on Molecular Biology, Obstetrics and Gynecology, Cancer Research, Reproductive Medicine and Surgery, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (7 papers), HER2/EGFR in Cancer Research (4 papers), Epigenetics and DNA Methylation (4 papers), Endometriosis Research and Treatment (3 papers), Cervical Cancer and HPV Research (3 papers), Breast Cancer Treatment Studies (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Obstetrics and Gynecology (199 citations), Reproductive Medicine (166 citations), Cancer Research (276 citations), Oncology (391 citations) and Pathology and Forensic Medicine (131 citations). Kitty Pavlakis has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Thomas Vrekoussis, Dimitrios Pectasides, Efstratios Patsouris, Efstathios N. Stathopoulos, Spiros D. Garbis, Constantinos Constantinides, Evi Lianidou, Stavros Ι. Tyritzis, Sabine Kasimir‐Bauer and Lydia Giannopoulou. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Applied immunohistochemistry & molecular morphology, International Journal of Gynecological Pathology and Breast Cancer Research and Treatment.

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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