John J. Noonan
- Molecular Biology
- Reproductive Medicine top 5%
- Clinical Biochemistry top 5%
- Endocrinology, Diabetes and Metabolism
- Genetics
- Co-authors
- A. L. ShugDavid P. RoseEi TerasawaMarcin SchmidtThomas E. NassWilliam E. BridsonDonald J. DierschkeMichael D. Loose
- Topics
- Metabolism and Genetic Disorders (4 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Cardiac Ischemia and Reperfusion (4 papers)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
John J. Noonan
17 papers receiving 450 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 175
- Reproductive Medicine 115
- Clinical Biochemistry 86
- Endocrinology, Diabetes and Metabolism 65
- Genetics 59
Countries citing papers authored by John J. Noonan
This map shows the geographic impact of John J. Noonan'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 John J. Noonan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Noonan more than expected).
Fields of papers citing papers by John J. Noonan
This network shows the impact of papers produced by John J. Noonan. 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 John J. Noonan. The network helps show where John J. Noonan may publish in the future.
Co-authorship network of co-authors of John J. Noonan
This figure shows the co-authorship network connecting the top 25 collaborators of John J. Noonan. A scholar is included among the top collaborators of John J. Noonan 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 John J. Noonan. John J. Noonan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 41 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | Protection of the ischemic myocardium by propionylcarnitine taurine amide. Comparison with other carnitine derivatives. | 3 |
| 6 | Free radical-mediated damage during myocardial ischemia and reperfusion and protection by carnitine esters. | 19 |
| 7 | 109 | |
| 8 | 31 | |
| 9 | Rat mammary carcinoma regressions during suppression of serum growth hormone and prolactin. | 27 |
| 10 | 68 | |
| 11 | 42 | |
| 12 | Influence of prolactin and growth hormone on rat mammary tumors induced by N-nitrosomethylurea. | 31 |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 8 |
About John J. Noonan
John J. Noonan is a scholar working on Clinical Biochemistry, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 470 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Cardiac Ischemia and Reperfusion (4 papers). The work is most often cited by research in Reproductive Medicine (115 citations), Clinical Biochemistry (86 citations) and Behavioral Neuroscience (28 citations). John J. Noonan has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include A. L. Shug, David P. Rose, Ei Terasawa, Marcin Schmidt, Thomas E. Nass, William E. Bridson, Donald J. Dierschke, Michael D. Loose, Marco M. Gottardis and Brona M. Murphy. Their work appears in journals such as Chemical Communications, Endocrinology and Cardiovascular Research.
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.