Nisha Palackal
- Molecular Biology top 10%
- Cell Biology top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 10%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- T.M. PenningMichael E. BurczynskiChien‐Fu HungHaiching MaMargaret MooreJoseph M. JezKapila RatnamRonald G. Harvey
- Topics
- Aldose Reductase and Taurine (11 papers)Prenatal Substance Exposure Effects (8 papers)Heme Oxygenase-1 and Carbon Monoxide (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Nisha Palackal
24 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.0k
- Cell Biology 817
- Endocrinology, Diabetes and Metabolism 472
- Cancer Research 274
- Health, Toxicology and Mutagenesis 262
Countries citing papers authored by Nisha Palackal
This map shows the geographic impact of Nisha Palackal'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 Nisha Palackal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha Palackal more than expected).
Fields of papers citing papers by Nisha Palackal
This network shows the impact of papers produced by Nisha Palackal. 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 Nisha Palackal. The network helps show where Nisha Palackal may publish in the future.
Co-authorship network of co-authors of Nisha Palackal
This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Palackal. A scholar is included among the top collaborators of Nisha Palackal 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 Nisha Palackal. Nisha Palackal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 106 | |
| 9 | 55 | |
| 10 | 89 | |
| 11 | 135 | |
| 12 | 185 | |
| 13 | 29 | |
| 14 | 82 | |
| 15 | 159 | |
| 16 | 86 | |
| 17 | Human 3α-hydroxysteroid dehydrogenase isoforms (AKR1C1‒AKR1C4) of the aldo-keto reductase superfamily: functional plasticity and tissue distribution reveals roles in the inactivation and formation of male and female sex hormonesbreakdown → | 505 |
| 18 | 299 | |
| 19 | 5 | |
| 20 | 380 |
About Nisha Palackal
Nisha Palackal is a scholar working on Cell Biology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (11 papers), Prenatal Substance Exposure Effects (8 papers) and Heme Oxygenase-1 and Carbon Monoxide (6 papers). The work is most often cited by research in Cell Biology (817 citations), Endocrinology, Diabetes and Metabolism (472 citations) and Toxicology (80 citations). Nisha Palackal has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include T.M. Penning, Michael E. Burczynski, Chien‐Fu Hung, Haiching Ma, Margaret Moore, Joseph M. Jez, Kapila Ratnam, Ronald G. Harvey, Laurie Tsuruda and Ian A. Blair. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Biochemistry.
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.