C. Di Massimo

877 citations
33 papers · 708 indexed · h-index 17

Impact in

Papers in

C. Di Massimo

33 papers receiving 669 citations

Peers

C. Di Massimo
Comparison fields: 5 of 91
  • Psychiatry and Mental health 207
  • Rehabilitation 84
  • Neurology 94
  • Physiology 204
  • Complementary and alternative medicine 64
Replace Maria Giuliana Tozzi Ciancarelli with:
Maria Giuliana Tozzi Ciancarelli Italy
Mehmet Uğur Çevik Türkiye
Justin D. La Favor United States
Siu‐Lung Chan United States
Ian Luttrell United States
T.J. Verbeuren France
Lindsey B. Gano United States
Maho Tsubota Japan
Ryuta Morihara Japan
Özkan Ateş Türkiye
C. Di Massimo relative to Maria Giuliana Tozzi Ciancarelli Italy Maria Giuliana Tozzi Ciancarelli's profile →
Citations per field
00.5×1.5×
Maria Giuliana Tozzi Ciancarelli · 1×
Citations per year

Countries citing papers authored by C. Di Massimo

Since Specialization
Citations

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

Fields of papers citing papers by C. Di Massimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Di Massimo. 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 C. Di Massimo. The network helps show where C. Di Massimo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201711
2 201615
3 201513
4 201420
5 201221
6 201228
7 201125
8 201054
9 200746
10 200511
11 200555
12 200434
13
Possible involvement of oxidative stress in exercise-mediated platelet activation.
200416
14 200369
15 200158
16
Possible involvement of increased susceptibility of LDL to oxidation in age-related platelet activation.
20013
17 19964
18 19945
19 19934
20
Interaction of neomycin with human erythrocytes.
19931

About C. Di Massimo

C. Di Massimo is a scholar working on Rehabilitation, Neurology, Psychiatry and Mental health, Internal Medicine and Physiology, having authored 33 papers that have together received 708 indexed citations. Recurring topics across this work include Migraine and Headache Studies (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Exercise and Physiological Responses (4 papers), Blood properties and coagulation (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Acute Ischemic Stroke Management (3 papers), Cardiovascular and exercise physiology (3 papers) and Neurological Disorders and Treatments (3 papers). The work is most often cited by research in Psychiatry and Mental health (207 citations), Rehabilitation (84 citations), Neurology (94 citations), Physiology (204 citations) and Complementary and alternative medicine (64 citations). C. Di Massimo has collaborated with scholars based in Italy and United States. Frequent co-authors include Maria Giuliana Tozzi Ciancarelli, Irene Ciancarelli, A Carolei, Corrado P. Marini, Maria Penco, Antonio Carolei, Giuseppe De Matteis, Gregorio Caimi, Gianna Pace and Carlo Vicentini. Their work appears in journals such as Cephalalgia, Current Neurovascular Research, European Journal of Applied Physiology, Biomarkers and Thrombosis Research.

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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