M. Di Girolamo
- Physiology top 5%
- Adipose Tissue and Metabolism 9
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 5
- Nutrition and Dietetics top 10%
- Animal Science and Zoology top 10%
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- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 6
- Viral Infectious Diseases and Gene Expression in Insects 5
- Enzyme function and inhibition 4
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- Mass Spectrometry Techniques and Applications 4
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- Adipokines, Inflammation, and Metabolic Diseases 3
M. Di Girolamo
50 papers receiving 962 citations
Peers
Comparison fields: 5 of 94
- Physiology 525
- Endocrine and Autonomic Systems 107
- Biochemistry 100
- Nutrition and Dietetics 134
- Animal Science and Zoology 75
Countries citing papers authored by M. Di Girolamo
This map shows the geographic impact of M. Di Girolamo'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. Di Girolamo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Di Girolamo more than expected).
Fields of papers citing papers by M. Di Girolamo
This network shows the impact of papers produced by M. Di Girolamo. 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. Di Girolamo. The network helps show where M. Di Girolamo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Di Girolamo, 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 | 1997 | 6 | |
| 2 | 1995 | 23 | |
| 3 | 1987 | 1 | |
| 4 | 1982 | 1 | |
| 5 | 1980 | 2 | |
| 6 | 1979 | 15 | |
| 7 | 1977 | 16 | |
| 8 | 1976 | 22 | |
| 9 | 1973 | 5 | |
| 10 | 1972 | 14 | |
| 11 | 1971 | 331 | |
| 12 | 1971 | 38 | |
| 13 | 1969 | 6 | |
| 14 | Comparative studies on the physiology of adipose tissue. | 1967 | 56 |
| 15 | 1966 | 8 | |
| 16 | 1966 | 39 | |
| 17 | 1965 | 16 | |
| 18 | 1961 | 32 | |
| 19 | 1961 | 26 | |
| 20 | 1960 | 12 |
About M. Di Girolamo
M. Di Girolamo is a scholar working on Biochemistry, Animal Science and Zoology, Physiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Adipose Tissue and Metabolism (9 papers), RNA modifications and cancer (6 papers), Amino Acid Enzymes and Metabolism (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Enzyme function and inhibition (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Physiology (525 citations), Endocrine and Autonomic Systems (107 citations), Biochemistry (100 citations), Nutrition and Dietetics (134 citations) and Animal Science and Zoology (75 citations). M. Di Girolamo has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include S. Mendlinger, Daniel Rudman, Marco Cappa, Skinner NS, Piero Cammarano, N. Miani, FLOYD SEIDMAN, Ivan Lefkovits, Chiara Cini and D. Cavallinì. Their work appears in journals such as Endocrinology, American Journal of Physiology-Legacy Content, European Journal of Biochemistry, Molecular and Cellular Biochemistry and Diabetes.
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.