Roberto Dina

81 papers receiving 2.5k citations

Peers

Roberto Dina
Comparison fields: 5 of 116
  • Obstetrics and Gynecology 357
  • Reproductive Medicine 327
  • Cancer Research 510
  • Oncology 619
  • Epidemiology 596
Replace Jan P. A. Baak with:
Jan P. A. Baak Netherlands
Diana N. Ionescu Canada
Daniel E. Stepan United States
Maria Rosaria Raspollini Italy
J. P. A. Baak Netherlands
Ahwon Lee South Korea
Konstantin J. Dedes Switzerland
Katherine Moxley United States
Mona El‐Bahrawy United Kingdom
Kuniyuki Oka Japan
Roberto Dina relative to Jan P. A. Baak Netherlands Jan P. A. Baak's profile →
Citations per field
00.5×4.0×
Jan P. A. Baak · 1×
Citations per year

Countries citing papers authored by Roberto Dina

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Dina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009284
2 2008183
3 2011148
4 1990114
5 2001105
6 200792
7 201486
8 200866
9 200964
10 200463
11 200559
12 200658
13 200957
14 201756
15 198449
16 201647
17 200447
18 200444
19 201242
20 201342

About Roberto Dina

Roberto Dina is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (11 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Endometrial and Cervical Cancer Treatments (7 papers), Cervical Cancer and HPV Research (7 papers), Immunotherapy and Immune Responses (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Genetic factors in colorectal cancer (4 papers) and Diverticular Disease and Complications (4 papers). The work is most often cited by research in Obstetrics and Gynecology (357 citations), Reproductive Medicine (327 citations), Cancer Research (510 citations), Oncology (619 citations) and Epidemiology (596 citations). Roberto Dina has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Nandita M. deSouza, W. P. Soutter, G. Angus McIndoe, Vincenzo Eusebi, Sadaf Ghaem‐Maghami, Jan J. Brosens, Luca Fusi, Eric W.‐F. Lam, Aldo Scarpa and G. Franzin. Their work appears in journals such as Clinical Cancer Research, Histopathology, British Journal of Cancer, Cytopathology and Cancer Research.

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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