This map shows the geographic impact of NM Packter'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 NM Packter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NM Packter more than expected).
This network shows the impact of papers produced by NM Packter. 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 NM Packter. The network helps show where NM Packter may publish in the future.
NM Packter is a scholar working on Molecular Biology, Pharmacology, Food Science, Organic Chemistry and Ophthalmology, having authored 11 papers that have together received 661 indexed citations. Recurring topics across this work include Dye analysis and toxicity (1 paper), Coenzyme Q10 studies and effects (1 paper), Phytochemicals and Antioxidant Activities (1 paper), Enzyme Catalysis and Immobilization (1 paper), Fungal Biology and Applications (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Chemistry and Chemical Engineering (1 paper) and Various Chemistry Research Topics (1 paper). The work is most often cited by research in Biotechnology (67 citations), Biochemistry (50 citations), Molecular Biology (380 citations), Pharmacology (78 citations) and Chemical Health and Safety (3 citations). NM Packter has collaborated with scholars based in United Kingdom. Their work appears in journals such as Biochemical Journal and Biochemical Education.
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.