R Macchi

974 citations
14 papers · 696 · h-index 7

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer Cells and Metastasis

Papers in

    • Liver Disease Diagnosis and Treatment 2
    • Hepatitis B Virus Studies 1
    • Urinary and Genital Oncology Studies 2

R Macchi

14 papers receiving 665 citations

Peers

R Macchi
Comparison fields: 5 of 68
  • Hepatology 108
  • Oncology 203
  • Endocrinology, Diabetes and Metabolism 125
  • Cancer Research 92
  • Surgery 122
Replace Yusaku Hori with:
Yusaku Hori Japan
Kosuke Ueda Japan
S. Bhattacharya United States
Anisha Madhav United States
Snezana Andrejevic‐Blant Switzerland
Beate Alinger Austria
Rosario Guarrasi Italy
Simone Hausmann Germany
Babs G. Sibinga Mulder Netherlands
Deyun Feng China
R Macchi relative to Yusaku Hori Japan Yusaku Hori's profile →
Citations per field
00.5×10.5×
Yusaku Hori · 1×
Citations per year

Countries citing papers authored by R Macchi

Since Specialization
Citations

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

Fields of papers citing papers by R Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2011373
2 1994101
3 201172
4 199453
5 199235
6 198629
7 200816
8
[A case of teratoma of the urachus].
19915
9 19904
10
Chronic autoimmune thyroid disease.
19923
11 19862
12
[Pulmonary sarcoid-like necrotizing granulomatosis].
19831
13
[Globoid cell leukodystrophy].
19841
14
Studies on anti-myelin antibodies in patients with multiple sclerosis.
19871

About R Macchi

R Macchi is a scholar working on Epidemiology, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 14 papers that have together received 696 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Urinary and Genital Oncology Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper), MRI in cancer diagnosis (1 paper), Hepatitis B Virus Studies (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Hepatology (108 citations), Oncology (203 citations), Endocrinology, Diabetes and Metabolism (125 citations), Cancer Research (92 citations) and Surgery (122 citations). R Macchi has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Carlo Patriarca, Håkan Mellstedt, Giovanni Ferrari, Eugenio Reschini, A. Paracchi, Tito Livraghi, Mauro Borzio, Adriana Bonifacino, Angelo Ferrari and E Servida. Their work appears in journals such as Radiology, Journal of Hepatology, Cancer Treatment Reviews, Hepatology and Cancer.

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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