Palmina Cataldi

20 papers receiving 383 citations

Peers

Palmina Cataldi
Comparison fields: 5 of 68
  • Cancer Research 70
  • Oncology 113
  • Reproductive Medicine 28
  • Molecular Biology 197
  • Artificial Intelligence 76
Replace Iris Nederlof with:
Iris Nederlof Netherlands
Keita Koseki Japan
Jon Sudbø Norway
Hubert G. Bartels United States
Yulan Ma China
Raimundas Meškauskas Lithuania
Asaf Maoz United States
Bojin Su China
Jialiang Shao China
Gregory J. Tsongalis United States
Palmina Cataldi relative to Iris Nederlof Netherlands Iris Nederlof's profile →
Citations per field
00.5×
Iris Nederlof · 1×
Citations per year

Countries citing papers authored by Palmina Cataldi

Since Specialization
Citations

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

Fields of papers citing papers by Palmina Cataldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prognostic significance of Ape1/ref-1 subcellular localization in non-small cell lung carcinomas.
200275
2 200037
3 199936
4 200236
5 200128
6 199823
7 201222
8 199922
9 200319
10 199919
11 200314
12 200213
13 201611
14 20019
15
DNA content, apoptosis and mitosis in transplanted human hearts.
19988
16 20188
17 20165
18 20165
19
Validation of realtime telemicroscopy. A preliminary report on 184 cases.
19984
20
ENDOMETRIAL HISTOLOGIC CHANGES IN POSTMENOPAUSAL BREAST CANCER PATIENTS USING TAMOXIFEN
20011

About Palmina Cataldi

Palmina Cataldi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Surgery and Pathology and Forensic Medicine, having authored 21 papers that have together received 395 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), TGF-β signaling in diseases (2 papers), Genetic factors in colorectal cancer (2 papers), Endometriosis Research and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (70 citations), Oncology (113 citations), Reproductive Medicine (28 citations), Molecular Biology (197 citations) and Artificial Intelligence (76 citations). Palmina Cataldi has collaborated with scholars based in Italy, United States and Slovenia. Frequent co-authors include Carlo Alberto Beltrami, Vincenzo Della Mea, Carla Di Loreto, Fabio Puglisi, Barbara Pertoldi, Giuseppe Damante, Gianluca Tell, Felice Petraglia, Alessandro Marco Minisini and Nicoletta Finato. Their work appears in journals such as Journal of Telemedicine and Telecare, European Journal of Endocrinology, Human Pathology, European Journal of Obstetrics & Gynecology and Reproductive Biology and Annals of Oncology.

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