Kenneth L. Barker

968 total citations
54 papers, 717 citations indexed

About

Kenneth L. Barker is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kenneth L. Barker has authored 54 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kenneth L. Barker's work include Estrogen and related hormone effects (13 papers), RNA and protein synthesis mechanisms (6 papers) and Ovarian function and disorders (6 papers). Kenneth L. Barker is often cited by papers focused on Estrogen and related hormone effects (13 papers), RNA and protein synthesis mechanisms (6 papers) and Ovarian function and disorders (6 papers). Kenneth L. Barker collaborates with scholars based in United States and United Kingdom. Kenneth L. Barker's co-authors include James C. Warren, Sandra Whelly, Bruce C. Moulton, Edward R. Smith, Terrence M. Donohue, D. Burdick, M. Sue O’Dorisio, Francis T. Kenney, Kai‐Lin Lee and L. V. Swanson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Kenneth L. Barker

49 papers receiving 617 citations

Peers

Kenneth L. Barker
Comparison fields: 5 of 111
  • Molecular Biology 296
  • Genetics 220
  • Endocrinology, Diabetes and Metabolism 104
  • Immunology 93
  • Physiology 84
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Citations per field, relative to Kenneth L. Barker
Kenneth L. Barker · 1×
Citations per year, relative to Kenneth L. Barker
Kenneth L. Barker · 1×

Countries citing papers authored by Kenneth L. Barker

Since Specialization
Citations

This map shows the geographic impact of Kenneth L. Barker'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 Kenneth L. Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth L. Barker more than expected).

Fields of papers citing papers by Kenneth L. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth L. Barker. 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 Kenneth L. Barker. The network helps show where Kenneth L. Barker may publish in the future.

Co-authorship network of co-authors of Kenneth L. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth L. Barker. A scholar is included among the top collaborators of Kenneth L. Barker 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 Kenneth L. Barker. Kenneth L. Barker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 1
3
Micah, Nahum, Habakkuk, Zephaniah
3
4 1
5 1
6
Romans 1-8
3
7 8
8 1
9
The Making of a contemporary translation : New International Version
1
10
The NIV: the making of a contemporary translation
3
11
NIV study Bible : new international version
7
12 15
13 1
14 9
15 35
16 34
17 1
18 16
19 28
20
Control by estradiol and progesterone of the activities of certain enzymes in the lactating mammary gland and the uterus of rats /
1

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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