M Maccheroni

28 papers receiving 490 citations

Peers

M Maccheroni
Comparison fields: 5 of 77
  • Hepatology 76
  • Equine 13
  • Rheumatology 103
  • Endocrinology, Diabetes and Metabolism 93
  • Aging 8
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Subhadeep Chakrabarti Canada
Naonori Inoue Japan
Young-Sil Yoon South Korea
Maha E. Houssen Egypt
Zijing Xia China
Shang‐Lun Chiang Taiwan
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Citations per year

Countries citing papers authored by M Maccheroni

Since Specialization
Citations

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

Fields of papers citing papers by M Maccheroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High prevalence of thyroid autoimmunity and hypothyroidism in patients with psoriatic arthritis.
200674
2
High values of Th1 (CXCL10) and Th2 (CCL2) chemokines in patients with psoriatic arthtritis.
200965
3 200461
4
Thyroid cancer in HCV-related mixed cryoglobulinemia patients.
200345
5 198538
6 201037
7 200837
8 199523
9 201423
10 199116
11 200312
12 200112
13
Rapid colorimetry of zinc in seminal fluid.
198411
14 200410
15 19909
16 20037
17 20035
18 20024
19
Biochemistry and pharmacology of diethylaminoethyl-dextran (DEAE-D).
19874
20 20113

About M Maccheroni

M Maccheroni is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Oncology and Pharmacology, having authored 28 papers that have together received 506 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Vitamin C and Antioxidants Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Hepatology (76 citations), Equine (13 citations), Rheumatology (103 citations), Endocrinology, Diabetes and Metabolism (93 citations) and Aging (8 citations). M Maccheroni has collaborated with scholars based in Italy and Spain. Frequent co-authors include Poupak Fallahi, Ele Ferrannini, Alessandro Antonelli, Andrea Delle Sedie, Lucrezia Riente, Silvia Martina Ferrari, Claudia Nesti, Stefano Bombardieri, Clodoveo Ferri and Alessandro Antonelli. Their work appears in journals such as Biogerontology, Analytical Letters, Psychoneuroendocrinology, Journal of Veterinary Pharmacology and Therapeutics and Veterinary Research Communications.

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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