Sara Oppi

614 citations
15 papers · 392 · h-index 8

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • Peptidase Inhibition and Analysis
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 1
    • COVID-19 and healthcare impacts 1

Sara Oppi

15 papers receiving 389 citations

Peers

Sara Oppi
Comparison fields: 5 of 71
  • Immunology 88
  • Oncology 84
  • Cancer Research 40
  • Physiology 51
  • Hematology 21
Replace T Weiss with:
T Weiss Austria
Kristina Behnke Germany
Soňa Čejková Czechia
Dong‐Chen Shieh Taiwan
Yasmin Ismail United Kingdom
Trine M. Reine Norway
Wenli Yang United States
O. A. Antonova Russia
Azhar Abbas Norway
Selin Gencer Germany
Sara Oppi relative to T Weiss Austria T Weiss's profile →
Citations per field
00.5×6.6×
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Citations per year

Countries citing papers authored by Sara Oppi

Since Specialization
Citations

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

Fields of papers citing papers by Sara Oppi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019140
2 201967
3 202040
4 202138
5 202130
6 202123
7 202115
8 201611
9 20227
10 20236
11
Unrelated bone marrow transplantation in thalassemia. The experience of the Italian Bone Marrow Transplant Group (GITMO).
20025
12 20214
13 20222
14 20222
15 20222

About Sara Oppi

Sara Oppi is a scholar working on Oncology, Immunology, Obstetrics and Gynecology, Epidemiology and Hematology, having authored 15 papers that have together received 392 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Acute Myeloid Leukemia Research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Mycobacterium research and diagnosis (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Immunology (88 citations), Oncology (84 citations), Cancer Research (40 citations), Physiology (51 citations) and Hematology (21 citations). Sara Oppi has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Thomas F. Lüscher, Sokrates Stein, Antonio Macciò, Clelia Madeddu, E. Sanna, Manuela Neri, Martin Andreas Geiger, Ana Terezinha Guillaumon, Maaike H. Oosterveer and Frank Ruschitzka. Their work appears in journals such as Vaccines, Journal of Hematology & Oncology, Cardiovascular Diabetology, European Heart Journal and Frontiers in Cardiovascular 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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