Pius S. Padayatti
- Molecular Biology
- Clinical Biochemistry top 2%
- Molecular Medicine top 5%
- Physiology
- Pharmacology top 10%
- Co-authors
- Ram H. NagarajFocco van den AkkerMonica A. TotirPaul CareyMarkus O. LedererMarion S. HelfandRobert A. BonomoMarianne P. Carey
- Topics
- Receptor Mechanisms and Signaling (5 papers)Antibiotic Resistance in Bacteria (4 papers)Advanced Glycation End Products research (4 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Pius S. Padayatti
19 papers receiving 763 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 404
- Clinical Biochemistry 254
- Molecular Medicine 160
- Physiology 142
- Pharmacology 112
Countries citing papers authored by Pius S. Padayatti
This map shows the geographic impact of Pius S. Padayatti'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 Pius S. Padayatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pius S. Padayatti more than expected).
Fields of papers citing papers by Pius S. Padayatti
This network shows the impact of papers produced by Pius S. Padayatti. 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 Pius S. Padayatti. The network helps show where Pius S. Padayatti may publish in the future.
Co-authorship network of co-authors of Pius S. Padayatti
This figure shows the co-authorship network connecting the top 25 collaborators of Pius S. Padayatti. A scholar is included among the top collaborators of Pius S. Padayatti 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 Pius S. Padayatti. Pius S. Padayatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 22 | |
| 3 | 10 | |
| 4 | 25 | |
| 5 | 12 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 45 | |
| 10 | 45 | |
| 11 | 55 | |
| 12 | 45 | |
| 13 | 56 | |
| 14 | 100 | |
| 15 | 149 | |
| 16 | 35 | |
| 17 | Argpyrimidine, a blue fluorophore in human lens proteins: high levels in brunescent cataractous lenses. | 64 |
| 18 | 29 | |
| 19 | NOTES ON POPULATION CHARACTERISTICS AND REPRODUCTIVE BIOLOGY OF THE PORTUNID CRAB CHARYBDIS (CHARYBDIS ) FERIATUS (LINNAEUS) AT COCHIN | 15 |
About Pius S. Padayatti
Pius S. Padayatti is a scholar working on Molecular Medicine, Clinical Biochemistry and Physiology, having authored 19 papers that have together received 780 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Clinical Biochemistry (254 citations), Molecular Medicine (160 citations) and Applied Microbiology and Biotechnology (18 citations). Pius S. Padayatti has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Ram H. Nagaraj, Focco van den Akker, Monica A. Totir, Paul Carey, Markus O. Lederer, Marion S. Helfand, Robert A. Bonomo, Marianne P. Carey, Klaus M. Biemel and Kôji Uchida. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry 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.