Richard Petrucci
- Molecular Medicine top 2%
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism top 10%
- Pharmacology top 10%
- Co-authors
- Laura M. McMurryStuart B. LevyAnders BossDaniel LorberJulio RosenstockPeter RichardsonCampbell P. HowardDavid W. Bilheimer
- Topics
- Diabetes Management and Research (4 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers)Metabolism, Diabetes, and Cancer (2 papers)
- Cited by
- Molecular MedicineApplied Microbiology and BiotechnologyEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesNetherlandsBulgaria
In The Last Decade
Richard Petrucci
8 papers receiving 634 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Medicine 261
- Molecular Biology 228
- Genetics 169
- Endocrinology, Diabetes and Metabolism 144
- Pharmacology 113
Countries citing papers authored by Richard Petrucci
This map shows the geographic impact of Richard Petrucci'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 Richard Petrucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Petrucci more than expected).
Fields of papers citing papers by Richard Petrucci
This network shows the impact of papers produced by Richard Petrucci. 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 Richard Petrucci. The network helps show where Richard Petrucci may publish in the future.
Co-authorship network of co-authors of Richard Petrucci
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Petrucci. A scholar is included among the top collaborators of Richard Petrucci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Petrucci. Richard Petrucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 46 | |
| 3 | 88 | |
| 4 | 39 | |
| 5 | 19 | |
| 6 | 10 | |
| 7 | 29 | |
| 8 | Active efflux of tetracycline encoded by four genetically different tetracycline resistance determinants in Escherichia coli.breakdown → | 465 |
About Richard Petrucci
Richard Petrucci is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Nephrology, having authored 8 papers that have together received 708 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Molecular Medicine (261 citations), Applied Microbiology and Biotechnology (18 citations) and Endocrinology, Diabetes and Metabolism (144 citations). Richard Petrucci has collaborated with scholars based in United States, Netherlands and Bulgaria. Frequent co-authors include Laura M. McMurry, Stuart B. Levy, Anders Boss, Daniel Lorber, Julio Rosenstock, Peter Richardson, Campbell P. Howard, David W. Bilheimer, Luigi Gnudi and Daniel L. Lorber. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Diabetes Care.
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.