Rita Nizzoli

1.6k citations
51 papers · 1.2k · h-index 19

Impact in

Papers in

Rita Nizzoli

50 papers receiving 1.2k citations

Peers

Rita Nizzoli
Comparison fields: 5 of 108
  • Pulmonary and Respiratory Medicine 490
  • Cancer Research 220
  • Oncology 369
  • Radiology, Nuclear Medicine and Imaging 132
  • Pathology and Forensic Medicine 84
Replace Vladmir Cláudio Cordeiro de Lima with:
Vladmir Cláudio Cordeiro de Lima Brazil
Soo Young Kim South Korea
Eun‐Jung Jung South Korea
T Cooke United Kingdom
Fabian Fehlauer Germany
R. Harzmann Germany
Özlem Er Türkiye
Soo Yeun Park South Korea
Marco Racioppi Italy
Martine George United States
Rita Nizzoli relative to Vladmir Cláudio Cordeiro de Lima Brazil Vladmir Cláudio Cordeiro de Lima's profile →
Citations per field
00.5×9.3×
Vladmir Cláudio Cordeiro de Lima · 1×
Citations per year

Countries citing papers authored by Rita Nizzoli

Since Specialization
Citations

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

Fields of papers citing papers by Rita Nizzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019188
2 2011118
3 201784
4 201180
5 200853
6 200248
7 201344
8 200043
9 201540
10 200336
11 201434
12 200632
13 199530
14 200327
15 199425
16 202025
17 201224
18 200018
19 201218
20
Immunocytochemical assay of estrogen and progesterone receptors in fine needle aspirates from breast cancer patients.
199518

About Rita Nizzoli

Rita Nizzoli is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (12 papers), Lung Cancer Treatments and Mutations (12 papers), Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (8 papers), HER2/EGFR in Cancer Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer and Skin Lesions (4 papers) and Medical Imaging and Pathology Studies (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (490 citations), Cancer Research (220 citations), Oncology (369 citations), Radiology, Nuclear Medicine and Imaging (132 citations) and Pathology and Forensic Medicine (84 citations). Rita Nizzoli has collaborated with scholars based in Italy, United States and Türkiye. Frequent co-authors include Cecilia Bozzetti, Annamaria Guazzi, Nadia Naldi, Andrea Ardizzoni, Marcello Tiseo, Massimo De Filippo, Giorgio Cocconi, Roberta Camisa, Pellegrino Crafa and Luca Brunese. Their work appears in journals such as Cancer, Lung Cancer, Diagnostic Cytopathology, Journal of Thoracic Oncology and Cytopathology.

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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