J Armstrong
- Molecular Biology
- Physical and Theoretical Chemistry top 5%
- Cell Biology top 10%
- Pharmacology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- John T. EdsallJacob A. VerpoorteDirck V. MyersH.A. McKenzieJoel C. BornsteinJulie NewmanWilliam H. SawyerSherman Beychok
- Topics
- Growth Hormone and Insulin-like Growth Factors (9 papers)Metabolism and Genetic Disorders (7 papers)Pancreatic function and diabetes (7 papers)
- Journals
- Journal of Biological ChemistryBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
J Armstrong
45 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 670
- Physical and Theoretical Chemistry 158
- Cell Biology 116
- Pharmacology 114
- Endocrinology, Diabetes and Metabolism 102
Countries citing papers authored by J Armstrong
This map shows the geographic impact of J Armstrong'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 J Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Armstrong more than expected).
Fields of papers citing papers by J Armstrong
This network shows the impact of papers produced by J Armstrong. 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 J Armstrong. The network helps show where J Armstrong may publish in the future.
Co-authorship network of co-authors of J Armstrong
This figure shows the co-authorship network connecting the top 25 collaborators of J Armstrong. A scholar is included among the top collaborators of J Armstrong 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 J Armstrong. J Armstrong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Studies of Colchicine-Induced Tetraploids of Trifolium Hybridum L.: I. Cross and Self-Fertility and Cytological Observations1 | 1 |
| 4 | 54 | |
| 5 | 16 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 31 | |
| 10 | 27 | |
| 11 | 3 | |
| 12 | Smokescreen: a survey on smoking in pregnancy. | 2 |
| 13 | 24 | |
| 14 | 8 | |
| 15 | 17 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | 28 |
About J Armstrong
J Armstrong is a scholar working on Clinical Biochemistry, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Metabolism and Genetic Disorders (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Physical and Theoretical Chemistry (158 citations), Molecular Biology (670 citations) and Biochemistry (58 citations). J Armstrong has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John T. Edsall, Jacob A. Verpoorte, Dirck V. Myers, H.A. McKenzie, Joel C. Bornstein, Julie Newman, William H. Sawyer, Sherman Beychok, Frank M Ng and William H. Murphy. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.