Ombretta Para

31 papers receiving 377 citations

Ombretta Para's Hit Papers

Influence of Gender in Diabetes Mellitus and Its Complication 2022 · 91 citations
910+1+2Years since publication255075

Peers

Ombretta Para
Comparison fields: 5 of 82
  • Infectious Diseases 85
  • Critical Care and Intensive Care Medicine 19
  • Biological Psychiatry 8
  • Neurology 40
  • Endocrinology, Diabetes and Metabolism 38
Replace José Luís Izquierdo with:
José Luís Izquierdo Spain
Naveen Dutt India
Mary Kathryn Bohn Canada
Giuseppe Natoli Italy
Xinge Ji United States
Joshua Henrina Indonesia
Sherly Lawrensia Indonesia
Jay Ramchand Australia
Marcelo Basso Gazzana Brazil
Mohammad Rizki Akbar Indonesia
Ombretta Para relative to José Luís Izquierdo Spain José Luís Izquierdo's profile →
Citations per field
00.5×
José Luís Izquierdo · 1×
Citations per year

Countries citing papers authored by Ombretta Para

Since Specialization
Citations

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

Fields of papers citing papers by Ombretta Para

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Influence of Gender in Diabetes Mellitus and Its Complication
Hit paper breakdown →
202291
2 202183
3 202132
4 201521
5 202020
6 201317
7 202115
8 201813
9 202112
10 202211
11 20188
12 20238
13 20228
14 20237
15 20207
16 20215
17 20195
18 20223
19 20223
20 20223

About Ombretta Para

Ombretta Para is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Infectious Diseases and Physiology, having authored 38 papers that have together received 387 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Respiratory Support and Mechanisms (3 papers), COVID-19 Impact on Reproduction (3 papers), Sepsis Diagnosis and Treatment (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Chronic Disease Management Strategies (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Sex and Gender in Healthcare (2 papers). The work is most often cited by research in Infectious Diseases (85 citations), Critical Care and Intensive Care Medicine (19 citations), Biological Psychiatry (8 citations), Neurology (40 citations) and Endocrinology, Diabetes and Metabolism (38 citations). Ombretta Para has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Tiziana Ciarambino, Mauro Giordano, Pietro Crispino, Gaetano Leto, Carlo Nozzoli, Francesco Dentali, Stefano Guidi, Vieri Vannucchi, Filippo Pieralli and Flavio Tangianu. Their work appears in journals such as Internal and Emergency Medicine, International Journal of Molecular Sciences, Nutrition, Women s Health and European Journal of Internal Medicine.

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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