Steven C. King

1.6k citations
50 papers · 1.4k indexed · h-index 23

Impact in

Papers in

Steven C. King

49 papers receiving 1.3k citations

Peers

Steven C. King
Comparison fields: 5 of 87
  • Animal Science and Zoology 357
  • Biochemistry 185
  • Genetics 578
  • Cellular and Molecular Neuroscience 310
  • Molecular Biology 690
Replace P. J. Heald with:
P. J. Heald United Kingdom
Jeffrey M. Gilbert United States
W. Keith Ray United States
C. I. Harris United Kingdom
Luxin Feng United States
Yoshihiro Oyamada Japan
Heidrun Kern Germany
Tsuyoshi Kakefuda United States
Haruo Chino Japan
R.W. Newburgh United States
Steven C. King relative to P. J. Heald United Kingdom P. J. Heald's profile →
Citations per field
00.5×
P. J. Heald · 1×
Citations per year

Countries citing papers authored by Steven C. King

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. King. 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 Steven C. King. The network helps show where Steven C. King may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven C. King, 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 Steven C. King Line = papers co-authored together Steven C. King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20152
2 20069
3 200588
4 200411
5 199817
6 199827
7 199623
8 199321
9 199222
10 1991102
11 19906
12 199021
13 198938
14 19883
15 1983158
16 198329
17 19672
18 196229
19 195648
20 195211

About Steven C. King

Steven C. King is a scholar working on Biochemistry, Animal Science and Zoology, Genetics, Cellular and Molecular Neuroscience and Plant Science, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), Amino Acid Enzymes and Metabolism (14 papers), Animal Nutrition and Physiology (12 papers), Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (7 papers), Enzyme Structure and Function (6 papers) and Polyamine Metabolism and Applications (5 papers). The work is most often cited by research in Animal Science and Zoology (357 citations), Biochemistry (185 citations), Genetics (578 citations), Cellular and Molecular Neuroscience (310 citations) and Molecular Biology (690 citations). Steven C. King has collaborated with scholars based in United States. Frequent co-authors include T. Hastings Wilson, D. C. Anderson, Stanley M. Parsons, Charles Henderson, Liaoyuan A. Hu, Donald P. Doolittle, Christian Bøge Lyndgaard, William Dowhan, Wei Zhang and T. Hastings Wilson. Their work appears in journals such as Poultry Science, Journal of Biological Chemistry, Biochemical Journal, Journal of Bacteriology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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