Joseph J. Knapka
- Physiology top 10%
- Molecular Biology
- Aging top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Donald K. IngramR. G. CutlerHarry G. PreussDavid RenquistBernadette M. MarriottG. S. RothRichard WeindruchMilton April
- Topics
- Diet and metabolism studies (10 papers)Adipose Tissue and Metabolism (6 papers)Diet, Metabolism, and Disease (5 papers)
- Partner nations
- United StatesPakistan
In The Last Decade
Joseph J. Knapka
34 papers receiving 643 citations
Peers
Comparison fields: 5 of 93
- Physiology 313
- Molecular Biology 127
- Aging 123
- Endocrinology, Diabetes and Metabolism 115
- Endocrine and Autonomic Systems 78
Countries citing papers authored by Joseph J. Knapka
This map shows the geographic impact of Joseph J. Knapka'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 Joseph J. Knapka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph J. Knapka more than expected).
Fields of papers citing papers by Joseph J. Knapka
This network shows the impact of papers produced by Joseph J. Knapka. 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 Joseph J. Knapka. The network helps show where Joseph J. Knapka may publish in the future.
Co-authorship network of co-authors of Joseph J. Knapka
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph J. Knapka. A scholar is included among the top collaborators of Joseph J. Knapka 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 Joseph J. Knapka. Joseph J. Knapka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 28 | |
| 5 | 4 | |
| 6 | 55 | |
| 7 | 25 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 168 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | Dietary trans fatty acids modulate erythrocyte membrane fatty acyl composition and insulin binding in monkeys | 1 |
| 16 | Refined carbohydrates affect blood pressure and retinal vasculature in spontaneously hypertensive and Wistar-Kyoto rats. | 9 |
| 17 | 14 | |
| 18 | Effect of open and closed formula rations on the performance of three strains of laboratory mice. | 70 |
| 19 | 1 | |
| 20 | 32 |
About Joseph J. Knapka
Joseph J. Knapka is a scholar working on Aging, Physiology and Endocrine and Autonomic Systems, having authored 34 papers that have together received 673 indexed citations. Recurring topics across this work include Diet and metabolism studies (10 papers), Adipose Tissue and Metabolism (6 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Aging (123 citations), Physiology (313 citations) and Endocrine and Autonomic Systems (78 citations). Joseph J. Knapka has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Donald K. Ingram, R. G. Cutler, Harry G. Preuss, David Renquist, Bernadette M. Marriott, G. S. Roth, Richard Weindruch, Milton April, Mary Ann Clark and Mark A. Lane. Their work appears in journals such as Science, Annals of the New York Academy of Sciences and Journal of Nutrition.
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.