Ida Rapa

66 papers receiving 2.5k citations

Peers

Ida Rapa
Comparison fields: 5 of 88
  • Cancer Research 640
  • Oncology 799
  • Endocrinology, Diabetes and Metabolism 458
  • Pulmonary and Respiratory Medicine 559
  • Neurology 246
Replace Andreas Schirbel with:
Andreas Schirbel Germany
Laura Boldrini Italy
Corey A. Carter United States
Belinda Cancilla United States
Mabel Ryder United States
Hakim Bouterfa Germany
Maria Pia Brizzi Italy
Genichiro Ishii Japan
Teresa Alonso‐Gordoa Spain
Arlene Berman United States
Ida Rapa relative to Andreas Schirbel Germany Andreas Schirbel's profile →
Citations per field
00.5×1.6×
Andreas Schirbel · 1×
Citations per year

Countries citing papers authored by Ida Rapa

Since Specialization
Citations

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

Fields of papers citing papers by Ida Rapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006304
2 2006270
3 2010258
4 2007244
5 2009139
6 201078
7 200873
8 201252
9 201449
10 201449
11 201046
12 200843
13 201142
14 201539
15 200839
16 200637
17 200936
18 201436
19 201735
20 201734

About Ida Rapa

Ida Rapa is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology and Cancer Research, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (15 papers), Neuroendocrine Tumor Research Advances (13 papers), Thyroid Cancer Diagnosis and Treatment (11 papers), Neuroblastoma Research and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Lung Cancer Research Studies (6 papers), Glioma Diagnosis and Treatment (5 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cancer Research (640 citations), Oncology (799 citations), Endocrinology, Diabetes and Metabolism (458 citations), Pulmonary and Respiratory Medicine (559 citations) and Neurology (246 citations). Ida Rapa has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Marco Volante, Mauro Papotti, Giorgio V. Scagliotti, Paolo Ceppi, Silvia Novello, Luisella Righi, Silvia Saviozzi, Alberto Cambieri, Mauro Papotti and Susanna Cappia. Their work appears in journals such as Endocrine Pathology, The Journal of Clinical Endocrinology & Metabolism, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Oncotarget and Human Pathology.

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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