Joseph J. Knapka

916 citations
34 papers · 673 indexed · h-index 15

Joseph J. Knapka

34 papers receiving 643 citations

Peers

Joseph J. Knapka
Comparison fields: 5 of 93
  • Aging 123
  • Physiology 313
  • Endocrine and Autonomic Systems 78
  • Behavioral Neuroscience 28
  • Endocrinology, Diabetes and Metabolism 115
Replace Francisco García-Palmer with:
Francisco García-Palmer Spain
B. N. Berg United States
Scott T. Baum United States
Iwona Bogacka Poland
E. J. Masoro United States
Akihisa Takasaki Japan
Katsunori Shimamura Japan
Dennis E. Barnard United States
Rosalba Putti Italy
Bacon F. Chow United States
Joseph J. Knapka relative to Francisco García-Palmer Spain Francisco García-Palmer's profile →
Citations per field
00.5×1.5×1.8×
Francisco García-Palmer · 1×
Citations per year

Countries citing papers authored by Joseph J. Knapka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Joseph J. Knapka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joseph J. Knapka Line = papers co-authored together Joseph J. Knapka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200330
2 19991
3 199819
4 199528
5 19944
6 199255
7 199225
8 199231
9 19915
10 19903
11 19909
12 1990168
13 199020
14 19889
15
Dietary trans fatty acids modulate erythrocyte membrane fatty acyl composition and insulin binding in monkeys
19871
16
Refined carbohydrates affect blood pressure and retinal vasculature in spontaneously hypertensive and Wistar-Kyoto rats.
19869
17 198214
18
Effect of open and closed formula rations on the performance of three strains of laboratory mice.
197470
19 19681
20 196732

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), Diet, Metabolism, and Disease (5 papers), Biochemical effects in animals (5 papers), Regulation of Appetite and Obesity (4 papers), Connexins and lens biology (3 papers), Animal Nutrition and Physiology (3 papers) and Primate Behavior and Ecology (3 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.

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