Jennifer L. King
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Biochemistry top 10%
- Nutrition and Dietetics
- Genetics
- Co-authors
- John W. ErdmanSteven J. FluhartySuresh G. ShelatLoretta M. Flanagan‐CatoCynthia G. FowlerWilliam D. O’BrienJames P. BlueRita J. Miller
- Topics
- Blood properties and coagulation (2 papers)Prenatal Screening and Diagnostics (2 papers)Catalysis and Oxidation Reactions (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jennifer L. King
19 papers receiving 390 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 114
- Endocrinology, Diabetes and Metabolism 73
- Biochemistry 52
- Nutrition and Dietetics 49
- Genetics 44
Countries citing papers authored by Jennifer L. King
This map shows the geographic impact of Jennifer L. 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 Jennifer L. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. King more than expected).
Fields of papers citing papers by Jennifer L. King
This network shows the impact of papers produced by Jennifer L. 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 Jennifer L. King. The network helps show where Jennifer L. King may publish in the future.
Co-authorship network of co-authors of Jennifer L. King
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. King. A scholar is included among the top collaborators of Jennifer L. King 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 Jennifer L. King. Jennifer L. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 39 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 47 | |
| 8 | 34 | |
| 9 | 22 | |
| 10 | 45 | |
| 11 | 21 | |
| 12 | 17 | |
| 13 | 30 | |
| 14 | Increasing Telephone Penetration Rates and Promoting Economic Development on Tribal Lands: A Proposal to Solve the Tribal and State Jurisdictional Problems | 1 |
| 15 | 9 | |
| 16 | 47 | |
| 17 | 37 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 8 |
About Jennifer L. King
Jennifer L. King is a scholar working on Process Chemistry and Technology, Biophysics and Biochemistry, having authored 20 papers that have together received 415 indexed citations. Recurring topics across this work include Blood properties and coagulation (2 papers), Prenatal Screening and Diagnostics (2 papers) and Catalysis and Oxidation Reactions (2 papers). The work is most often cited by research in Biochemistry (52 citations), Behavioral Neuroscience (18 citations) and Endocrinology, Diabetes and Metabolism (73 citations). Jennifer L. King has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John W. Erdman, Steven J. Fluharty, Suresh G. Shelat, Loretta M. Flanagan‐Cato, Cynthia G. Fowler, William D. O’Brien, James P. Blue, Rita J. Miller, Jessica K. Campbell and Mary Ann Lila. Their work appears in journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal 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.