Peter T. Lomedico
- Molecular Biology top 5%
- Immunology top 5%
- Genetics top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Argiris EfstratiadisRichard TizardJudith G. GiriUeli GublerG JuBryan R. CullenK J CollierStephen J. McAndrew
- Topics
- Pancreatic function and diabetes (6 papers)Diabetes Management and Research (3 papers)Immune Response and Inflammation (3 papers)
- Cited by
- ImmunologyMolecular BiologyGenetics
- Partner nations
- United StatesSwitzerland
In The Last Decade
Peter T. Lomedico
22 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.8k
- Immunology 890
- Genetics 628
- Surgery 339
- Endocrinology, Diabetes and Metabolism 245
Countries citing papers authored by Peter T. Lomedico
This map shows the geographic impact of Peter T. Lomedico'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 Peter T. Lomedico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Lomedico more than expected).
Fields of papers citing papers by Peter T. Lomedico
This network shows the impact of papers produced by Peter T. Lomedico. 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 Peter T. Lomedico. The network helps show where Peter T. Lomedico may publish in the future.
Co-authorship network of co-authors of Peter T. Lomedico
This figure shows the co-authorship network connecting the top 25 collaborators of Peter T. Lomedico. A scholar is included among the top collaborators of Peter T. Lomedico 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 Peter T. Lomedico. Peter T. Lomedico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 95 | |
| 3 | 8 | |
| 4 | 43 | |
| 5 | A bacterial clone synthesizing proinsulin. 1978. | 0 |
| 6 | 85 | |
| 7 | 255 | |
| 8 | 44 | |
| 9 | 3 | |
| 10 | 132 | |
| 11 | 314 | |
| 12 | Cloning and expression of murine interleukin-1 cDNA in Escherichia colibreakdown → | 722 |
| 13 | 112 | |
| 14 | 70 | |
| 15 | 50 | |
| 16 | The synthesis of insulin in bacteria: a model for the production of medically useful proteins in prokaryotic cells. | 3 |
| 17 | 7 | |
| 18 | A bacterial clone synthesizing proinsulin.breakdown → | 410 |
| 19 | 19 | |
| 20 | 90 |
About Peter T. Lomedico
Peter T. Lomedico is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 23 papers that have together received 3.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes Management and Research (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (890 citations), Molecular Biology (1.8k citations) and Genetics (628 citations). Peter T. Lomedico has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Argiris Efstratiadis, Richard Tizard, Judith G. Giri, Ueli Gubler, G Ju, Bryan R. Cullen, K J Collier, Stephen J. McAndrew, Nadia Rosenthal and Walter Gilbert. Their work appears in journals such as Nature, Science and Cell.
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.