Sergio Losa

1.8k citations
23 papers · 1.3k · h-index 13

Impact in

Papers in

Sergio Losa

22 papers receiving 1.3k citations

Peers

Sergio Losa
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 335
  • Rehabilitation 111
  • Surgery 616
  • Cancer Research 202
  • Occupational Therapy 40
Replace Martin Teraa with:
Martin Teraa Netherlands
L. Gabrielli Italy
K G Burnand United Kingdom
Maciej L. Dryjski United States
Roberto Ferraresi Italy
Mirko Menegolo Italy
Rita Compagna Italy
Holger Lawall Germany
Winona Wu United States
Marco Ferlini Italy
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Citations per field
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Citations per year

Countries citing papers authored by Sergio Losa

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Losa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011331
2 2005288
3 2009165
4 2006139
5 2012123
6 200847
7 201240
8 200935
9 201126
10 202018
11
A. Long-term prognosis of diabetic patients with critical limb ischemia: a population-based cohort study. Diabetes Care 2009;32:822―827
200917
12 200817
13 201414
14 201010
15 20166
16
Nitinol stents with polymer-free paclitaxel coating for stenosis of failing infrainguinal bypass grafts.
20136
17 20114
18 20064
19 20174
20 20172

About Sergio Losa

Sergio Losa is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (14 papers), Aortic aneurysm repair treatments (3 papers), Pain Management and Treatment (2 papers), Vascular Procedures and Complications (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Infectious Aortic and Vascular Conditions (1 paper), COVID-19 and healthcare impacts (1 paper) and Ureteral procedures and complications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (335 citations), Rehabilitation (111 citations), Surgery (616 citations), Cancer Research (202 citations) and Occupational Therapy (40 citations). Sergio Losa has collaborated with scholars based in Italy, United Kingdom and South Africa. Frequent co-authors include Ezio Faglia, Giacomo Clerici, J Clérissi, Maurizio Caminiti, Vincenzo Curci, Alberto Morabito, Manuela Mantero, L. Gabrielli, Costanza Emanueli and Gaia Spinetti. Their work appears in journals such as European Journal of Vascular and Endovascular Surgery, Diabetes Care, The Journal of Cardiovascular Surgery, Journal of Vascular Surgery and JACC: Cardiovascular Interventions.

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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