Gemma Macchia
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Sarcoma Diagnosis and Treatment 8
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- Genomics and Chromatin Dynamics 4
- Circular RNAs in diseases 2
- Co-authors
- Clelia Tiziana Storlazzi (12 shared papers)Domenico Trombetta (6 shared papers)Massimo Carella (5 shared papers)Orazio Palumbo (5 shared papers)Pietro D’Addabbo (4 shared papers)Fredrik Mertens (9 shared papers)Mariano Rocchi (4 shared papers)Alberto L’Abbate (5 shared papers)
- Journals
- Genes Chromosomes and Cancer (2 papers)Molecular Cancer (1 paper)Human Molecular Genetics (1 paper)Human Cell (1 paper)Laboratory Investigation (1 paper)
- Partner nations
- ItalySwedenUnited States
In The Last Decade
Gemma Macchia
16 papers receiving 503 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 234
- Endocrine and Autonomic Systems 37
- Aging 10
- Rheumatology 59
- Molecular Biology 266
Countries citing papers authored by Gemma Macchia
This map shows the geographic impact of Gemma Macchia'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 Gemma Macchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Macchia more than expected).
Fields of papers citing papers by Gemma Macchia
This network shows the impact of papers produced by Gemma Macchia. 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 Gemma Macchia. The network helps show where Gemma Macchia may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Macchia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 178 | |
| 2 | 2014 | 82 | |
| 3 | 2011 | 44 | |
| 4 | 2016 | 36 | |
| 5 | 2012 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 25 | |
| 8 | 2016 | 22 | |
| 9 | 2011 | 12 | |
| 10 | 2013 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2014 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2013 | 1 |
About Gemma Macchia
Gemma Macchia is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 16 papers that have together received 513 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (8 papers), Genomics and Chromatin Dynamics (4 papers), Tumors and Oncological Cases (4 papers), Cancer Genomics and Diagnostics (2 papers), Circadian rhythm and melatonin (2 papers), Soft tissue tumor case studies (2 papers), Circular RNAs in diseases (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Cancer Research (234 citations), Endocrine and Autonomic Systems (37 citations), Aging (10 citations), Rheumatology (59 citations) and Molecular Biology (266 citations). Gemma Macchia has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Clelia Tiziana Storlazzi, Domenico Trombetta, Massimo Carella, Orazio Palumbo, Pietro D’Addabbo, Fredrik Mertens, Mariano Rocchi, Alberto L’Abbate, Angelo Lonoce and Klaas Kok. Their work appears in journals such as Genes Chromosomes and Cancer, Molecular Cancer, Human Molecular Genetics, Human Cell and Laboratory Investigation.
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.