Priscilla Jaichander
Impact in
- Clinical Biochemistry top 10%
- Paraoxonase enzyme and polymorphisms
Papers in
-
- Muscle Physiology and Disorders 2
- Surgery 2
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Ning Liu (5 shared papers)Rhonda Bassel‐Duby (5 shared papers)Eric N. Olson (5 shared papers)Mahdi Garelnabi (1 shared paper)Sampath Parthasarathy (1 shared paper)Krithika Selvarajan (1 shared paper)Stephen Li (3 shared papers)Efrain Sanchez‐Ortiz (3 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Genes & Development (1 paper)Nature Cell Biology (1 paper)Biology of Reproduction (1 paper)Cell Reports (1 paper)
- Partner nations
- United States
In The Last Decade
Priscilla Jaichander
9 papers receiving 334 citations
Peers
Comparison fields: 5 of 60
- Clinical Biochemistry 43
- Aging 11
- Reproductive Medicine 45
- Genetics 37
- Molecular Biology 227
Countries citing papers authored by Priscilla Jaichander
This map shows the geographic impact of Priscilla Jaichander'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 Priscilla Jaichander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priscilla Jaichander more than expected).
Fields of papers citing papers by Priscilla Jaichander
This network shows the impact of papers produced by Priscilla Jaichander. 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 Priscilla Jaichander. The network helps show where Priscilla Jaichander may publish in the future.
Co-authors
The 25 scholars most cited alongside Priscilla Jaichander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 102 | |
| 2 | 2015 | 85 | |
| 3 | 2008 | 61 | |
| 4 | 2019 | 28 | |
| 5 | 2014 | 22 | |
| 6 | 2018 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2023 | 10 | |
| 9 | Lack of Correlation of Paraoxonase (PON1) Activity with Smoking among the South Indians and Risk of Cardiovascular Disease | 2010 | 3 |
About Priscilla Jaichander
Priscilla Jaichander is a scholar working on Molecular Biology, Surgery, Pharmacology, Genetics and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (2 papers), Apelin-related biomedical research (2 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Muscle Physiology and Disorders (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Ovarian function and disorders (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Clinical Biochemistry (43 citations), Aging (11 citations), Reproductive Medicine (45 citations), Genetics (37 citations) and Molecular Biology (227 citations). Priscilla Jaichander has collaborated with scholars based in United States. Frequent co-authors include Ning Liu, Rhonda Bassel‐Duby, Eric N. Olson, Mahdi Garelnabi, Sampath Parthasarathy, Krithika Selvarajan, Stephen Li, Efrain Sanchez‐Ortiz, Karen Chapman and F. Kent Hamra. Their work appears in journals such as Journal of Lipid Research, Genes & Development, Nature Cell Biology, Biology of Reproduction and Cell Reports.
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.