Kimberly D. Kluckman
- Molecular Biology top 5%
- Pharmacology top 0.5%
- Surgery top 2%
- Biochemistry top 0.2%
- Genetics top 2%
- Co-authors
- Oliver SmithiesScott G. MorhamNobuyo MaedaHoward F. TianoCharles D. LoftinRobert LangenbachJoel F. MahlerChristopher A. Lee
- Topics
- Cholesterol and Lipid Metabolism (5 papers)Peroxisome Proliferator-Activated Receptors (5 papers)Drug Transport and Resistance Mechanisms (4 papers)
- Cited by
- BiochemistryPharmacologySurgery
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Kimberly D. Kluckman
17 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.7k
- Pharmacology 1.4k
- Surgery 1.3k
- Biochemistry 931
- Genetics 771
Countries citing papers authored by Kimberly D. Kluckman
This map shows the geographic impact of Kimberly D. Kluckman'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 Kimberly D. Kluckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly D. Kluckman more than expected).
Fields of papers citing papers by Kimberly D. Kluckman
This network shows the impact of papers produced by Kimberly D. Kluckman. 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 Kimberly D. Kluckman. The network helps show where Kimberly D. Kluckman may publish in the future.
Co-authorship network of co-authors of Kimberly D. Kluckman
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly D. Kluckman. A scholar is included among the top collaborators of Kimberly D. Kluckman 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 Kimberly D. Kluckman. Kimberly D. Kluckman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 5 | |
| 3 | 381 | |
| 4 | 362 | |
| 5 | 53 | |
| 6 | 268 | |
| 7 | 158 | |
| 8 | 4 | |
| 9 | 136 | |
| 10 | 136 | |
| 11 | 267 | |
| 12 | 147 | |
| 13 | 18 | |
| 14 | 220 | |
| 15 | Prostaglandin synthase 1 gene disruption in mice reduces arachidonic acid-induced inflammation and indomethacin-induced gastric ulcerationbreakdown → | 943 |
| 16 | Prostaglandin synthase 2 gene disruption causes severe renal pathology in the mousebreakdown → | 936 |
| 17 | 485 |
About Kimberly D. Kluckman
Kimberly D. Kluckman is a scholar working on Biochemistry, Clinical Biochemistry and Toxicology, having authored 17 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Biochemistry (931 citations), Pharmacology (1.4k citations) and Surgery (1.3k citations). Kimberly D. Kluckman has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Oliver Smithies, Scott G. Morham, Nobuyo Maeda, Howard F. Tiano, Charles D. Loftin, Robert Langenbach, Joel F. Mahler, Christopher A. Lee, John S. Parks and J. Charles Jennette. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.