F. De Lorenzo

561 citations
25 papers · 435 indexed · h-index 12
Topics
Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers)Thermoregulation and physiological responses (5 papers)Climate Change and Health Impacts (4 papers)

In The Last Decade

F. De Lorenzo

25 papers receiving 414 citations

Peers

F. De Lorenzo
Comparison fields: 5 of 74
  • Psychiatry and Mental health 115
  • Cardiology and Cardiovascular Medicine 108
  • Surgery 102
  • Physiology 78
  • Health, Toxicology and Mutagenesis 51
Replace Tomotaka Yoshida with:
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Archana Hinduja United States
Oğuz Eroğlu Türkiye
Guillem Frontera Spain
Emma Denneny United Kingdom
Sarice L. Bassin United States
Sami Tetri Finland
Kannikar Kongbunkiat Thailand
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F. De Lorenzo relative to Tomotaka Yoshida Japan Tomotaka Yoshida's profile →
Citations per field
00.5×4.6×
Tomotaka Yoshida · 1×
Citations per year

Countries citing papers authored by F. De Lorenzo

Since Specialization
Citations

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

Fields of papers citing papers by F. De Lorenzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. De Lorenzo

This figure shows the co-authorship network connecting the top 25 collaborators of F. De Lorenzo. A scholar is included among the top collaborators of F. De Lorenzo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. De Lorenzo. F. De Lorenzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 4
4 4
5 24
6 20
7 44
8 10
9 1
10 26
11 6
12 11
13 25
14 54
15 31
16 12
17 32
18 43
19 43
20
Early signs of carotid and iliac atherosclerosis in patients with severe hyperlipoproteinemia.
1

About F. De Lorenzo

F. De Lorenzo is a scholar working on Internal Medicine, Complementary and Manual Therapy and Psychiatry and Mental health, having authored 25 papers that have together received 435 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers), Thermoregulation and physiological responses (5 papers) and Climate Change and Health Impacts (4 papers). The work is most often cited by research in Internal Medicine (33 citations), Psychiatry and Mental health (115 citations) and Virology (28 citations). F. De Lorenzo has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include V V Kakkar, James Hargreaves, Zbigniew Kadziola, M Mukherjee, A.K. Kakkar, Graham F. Pineo, R C Williamson, S. Di Giacomo, Sophie Collot-Teixeira and Marta Boffito. Their work appears in journals such as The Lancet, Cardiovascular Research and Clinical Pharmacology & Therapeutics.

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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