Marco Maccheroni

27 papers receiving 504 citations

Peers

Marco Maccheroni
Comparison fields: 5 of 78
  • Hepatology 83
  • Equine 13
  • Rheumatology 108
  • Endocrinology, Diabetes and Metabolism 95
  • Aging 9
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Toshimasa Jindo Japan
Xue Shao China
Shang‐Lun Chiang Taiwan
Izolda Mileva United States
Subhadeep Chakrabarti Canada
Miho Hamaguchi Japan
Arum Park South Korea
Esther Verkade Netherlands
Hadrien Demagny Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Marco Maccheroni

Since Specialization
Citations

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

Fields of papers citing papers by Marco Maccheroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 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.
200679
2 200466
3
High values of Th1 (CXCL10) and Th2 (CCL2) chemokines in patients with psoriatic arthtritis.
200965
4
Thyroid cancer in HCV-related mixed cryoglobulinemia patients.
200348
5 198542
6 200838
7 201038
8 199525
9 201423
10 199116
11 200313
12 200113
13
Rapid colorimetry of zinc in seminal fluid.
198411
14 200410
15 19909
16 20037
17 20037
18
Biochemistry and pharmacology of diethylaminoethyl-dextran (DEAE-D).
19877
19 20024
20 20113

About Marco Maccheroni

Marco Maccheroni is a scholar working on Pharmacology, Neuropsychology and Physiological Psychology, Nutrition and Dietetics, Pharmaceutical Science and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 534 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (3 papers), Aging and Gerontology Research (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Health disparities and outcomes (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Hepatology (83 citations), Equine (13 citations), Rheumatology (108 citations), Endocrinology, Diabetes and Metabolism (95 citations) and Aging (9 citations). Marco Maccheroni has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Poupak Fallahi, Alessandro Antonelli, Ele Ferrannini, Lucrezia Riente, Andrea Delle Sedie, Silvia Martina Ferrari, Claudia Nesti, Stefano Bombardieri, Leonardo Lampugnani and S Bombardieri. Their work appears in journals such as Biogerontology, Aging Clinical and Experimental Research, QJM, Scandinavian Journal of Rheumatology 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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