M. D’Amico

636 citations
15 papers · 209 · h-index 5

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Cancer Treatment and Pharmacology 8
    • Colorectal Cancer Treatments and Studies 6
    • HER2/EGFR in Cancer Research 2
    • Lung Cancer Treatments and Mutations 3
    • Advanced Breast Cancer Therapies 3
    • Gastric Cancer Management and Outcomes 3

M. D’Amico

12 papers receiving 202 citations

Peers

M. D’Amico
Comparison fields: 5 of 54
  • Hepatology 126
  • Epidemiology 117
  • Family Practice 4
  • Oncology 36
  • Genetics 31
Replace E Moroni with:
E Moroni Italy
Yinong Ye China
Lea Nußbaum United Kingdom
Chifumi Sato Japan
Mengru Zhan China
Leonard U. Hess Germany
Marcela Galoppo Argentina
Giulia Troshina Italy
Berta Caballol Spain
Huanwei Zheng China
M. D’Amico relative to E Moroni Italy E Moroni's profile →
Citations per field
00.5×1.7×
E Moroni · 1×
Citations per year

Countries citing papers authored by M. D’Amico

Since Specialization
Citations

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

Fields of papers citing papers by M. D’Amico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200171
2 201058
3 199850
4 20006
5 20126
6 20044
7 20043
8 20153
9 20103
10 20092
11 20042
12 20041
13 20150
14 20130
15 20120

About M. D’Amico

M. D’Amico is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Cancer Research and Genetics, having authored 15 papers that have together received 209 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Colorectal Cancer Treatments and Studies (6 papers), Breast Cancer Treatment Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Advanced Breast Cancer Therapies (3 papers), Gastric Cancer Management and Outcomes (3 papers), HER2/EGFR in Cancer Research (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (126 citations), Epidemiology (117 citations), Family Practice (4 citations), Oncology (36 citations) and Genetics (31 citations). M. D’Amico has collaborated with scholars based in Italy, Cuba and Norway. Frequent co-authors include Marcello Vangeli, Luciano De Carlis, Aldo Airoldi, Alberto B. Alberti, D Forti, L Belli, E. Minóla, G. F. Rondinara, Giovambattista Pinzello and Laura Orlando. Their work appears in journals such as Journal of Clinical Oncology, Cancer Treatment Reviews, Annals of Oncology, Expert Opinion on Therapeutic Targets and Medical Oncology.

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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