Lorenzo Tofani

1.8k citations
90 papers · 1.1k indexed · h-index 18

Lorenzo Tofani

84 papers receiving 1.0k citations

Peers

Lorenzo Tofani
Comparison fields: 5 of 126
  • Critical Care and Intensive Care Medicine 198
  • Anesthesiology and Pain Medicine 90
  • Applied Microbiology and Biotechnology 25
  • Nephrology 86
  • Developmental Neuroscience 44
Replace Wating Su with:
Wating Su China
Sebastian N. Stehr Germany
Chiara Poggi Italy
William Reiss United States
Glenn J.R. Whitman United States
Catherine Y. Lau United States
Erkin М Мirrakhimov United States
G.R. Park United Kingdom
Paul D. Mongan United States
Lorenzo Tofani relative to Wating Su China Wating Su's profile →
Citations per field
00.5×8.2×
Wating Su · 1×
Citations per year

Countries citing papers authored by Lorenzo Tofani

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Tofani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20241
5 20233
6 20231
7 202221
8 202218
9 20221
10 20215
11 20218
12 20217
13 20207
14 20202
15 202011
16 201827
17 201711
18 20167
19 201510
20 2014129

About Lorenzo Tofani

Lorenzo Tofani is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Anesthesiology and Pain Medicine, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (10 papers), Systemic Sclerosis and Related Diseases (9 papers), Acute Kidney Injury Research (8 papers), Autoimmune and Inflammatory Disorders Research (7 papers), Hemodynamic Monitoring and Therapy (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Anesthesia and Sedative Agents (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (198 citations), Anesthesiology and Pain Medicine (90 citations) and Applied Microbiology and Biotechnology (25 citations). Lorenzo Tofani has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Gianluca Villa, Angelo Raffaele De Gaudio, Stefano Romagnoli, Zaccaria Ricci, Omar Tujjar, Salvatore Mario Romano, Diego Quattrone, Carlo Dani, Marco Matucci‐Cerinic and Luca Boni. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

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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