Pappachan E. Kolattukudy
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 26
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis 23
- Cell Biology top 0.5%
- Plant Pathogens and Fungal Diseases 18
- Plant Science top 0.2%
- Plant Surface Properties and Treatments 27
- Molecular Biology top 0.5%
- Plant biochemistry and biosynthesis 23
- Microbial Metabolic Engineering and Bioproduction 19
- Enzyme Catalysis and Immobilization 18
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- Mycobacterium research and diagnosis 19
Pappachan E. Kolattukudy
275 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Infectious Diseases 2.3k
- Biochemistry 896
- Cell Biology 1.8k
- Plant Science 4.1k
- Molecular Biology 7.2k
Countries citing papers authored by Pappachan E. Kolattukudy
This map shows the geographic impact of Pappachan E. Kolattukudy'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 Pappachan E. Kolattukudy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pappachan E. Kolattukudy more than expected).
Fields of papers citing papers by Pappachan E. Kolattukudy
This network shows the impact of papers produced by Pappachan E. Kolattukudy. 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 Pappachan E. Kolattukudy. The network helps show where Pappachan E. Kolattukudy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pappachan E. Kolattukudy, 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 | 2022 | 37 | |
| 2 | 2017 | 26 | |
| 3 | 2017 | 23 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 146 | |
| 6 | 2013 | 164 | |
| 7 | Regulation of spine development by semaphorin3A through cyclin-dependent kinase 5 phosphorylation of collapsin response mediator protein 1 (Journal of Neuroscience (November 14, 2007) (12546-12554)) | 2008 | 1 |
| 8 | 2008 | 129 | |
| 9 | Abstract 1375: Cardiac Overexpression of Monocyte Chemoattractant Protein-1 in Transgenic Mice Prevents Cardiac Dysfunction and Remodeling After Myocardial Infarction | 2006 | 1 |
| 10 | 2006 | 20 | |
| 11 | 2002 | 251 | |
| 12 | 2002 | 71 | |
| 13 | 2001 | 330 | |
| 14 | 2000 | 94 | |
| 15 | 2000 | 41 | |
| 16 | 1996 | 31 | |
| 17 | 1992 | 10 | |
| 18 | 1990 | 106 | |
| 19 | 1988 | 8 | |
| 20 | 1988 | 41 |
About Pappachan E. Kolattukudy
Pappachan E. Kolattukudy is a scholar working on Biochemistry, Developmental Neuroscience and Biotechnology, having authored 275 papers that have together received 16.7k indexed citations. Recurring topics across this work include Plant Surface Properties and Treatments (27 papers), Tuberculosis Research and Epidemiology (26 papers), Plant biochemistry and biosynthesis (23 papers), Lipid metabolism and biosynthesis (23 papers), Microbial Metabolic Engineering and Bioproduction (19 papers), Mycobacterium research and diagnosis (19 papers), Plant Pathogens and Fungal Diseases (18 papers) and Enzyme Catalysis and Immobilization (18 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Biochemistry (896 citations) and Cell Biology (1.8k citations). Pappachan E. Kolattukudy has collaborated with scholars based in United States, France and China. Frequent co-authors include Jianli Niu, Tatiana D. Sirakova, Jaiyanth Daniel, Asim Azfer, Chirajyoti Deb, Terence J. Walton, Vinod S. Dubey, Linda Rogers, Craig W. Younce and Moshe A. Flaishman. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.