Sukumar Medda
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
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- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Enzyme Catalysis and Immobilization 2
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- Enzyme Production and Characterization 5
- Co-authors
- Richard T. Swank (5 shared papers)Amar K. Chandra (1 shared paper)Richard L. Proia (1 shared paper)O. v. Deimling (2 shared papers)Ann M. Stevens (1 shared paper)Kohei Takeuchi (2 shared papers)Badal C. Saha (2 shared papers)Rosemary W. Elliott (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Cellular Biochemistry (2 papers)The Journal of Cell Biology (1 paper)European Journal of Biochemistry (1 paper)Cell (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Sukumar Medda
16 papers receiving 510 citations
Peers
Comparison fields: 5 of 80
- Biotechnology 135
- Pharmacology 80
- Nutrition and Dietetics 67
- Molecular Biology 280
- Biochemistry 27
Countries citing papers authored by Sukumar Medda
This map shows the geographic impact of Sukumar Medda'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 Sukumar Medda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukumar Medda more than expected).
Fields of papers citing papers by Sukumar Medda
This network shows the impact of papers produced by Sukumar Medda. 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 Sukumar Medda. The network helps show where Sukumar Medda may publish in the future.
Co-authors
The 23 scholars most cited alongside Sukumar Medda, 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 | 2003 | 107 | |
| 2 | 1980 | 66 | |
| 3 | 1991 | 58 | |
| 4 | Production of Extracellular Thermostable α-Amylase by Bacillus licheniformis | 1980 | 42 |
| 5 | 1987 | 40 | |
| 6 | 1985 | 39 | |
| 7 | 1987 | 37 | |
| 8 | 1992 | 36 | |
| 9 | 1986 | 26 | |
| 10 | 1987 | 22 | |
| 11 | Raw Starch Adsorption and Elution Behaviour of Glucoamylase I of Black Aspergillus | 1982 | 19 |
| 12 | 1997 | 19 | |
| 13 | 1989 | 13 | |
| 14 | 1982 | 4 | |
| 15 | 1984 | 4 | |
| 16 | 1997 | 2 |
About Sukumar Medda
Sukumar Medda is a scholar working on Molecular Biology, Biotechnology, Plant Science, Organic Chemistry and Cell Biology, having authored 16 papers that have together received 534 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (5 papers), Microbial Metabolites in Food Biotechnology (3 papers), Glycosylation and Glycoproteins Research (3 papers), Phytase and its Applications (3 papers), Enzyme Catalysis and Immobilization (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Biotechnology (135 citations), Pharmacology (80 citations), Nutrition and Dietetics (67 citations), Molecular Biology (280 citations) and Biochemistry (27 citations). Sukumar Medda has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Richard T. Swank, Amar K. Chandra, Richard L. Proia, O. v. Deimling, Ann M. Stevens, Kohei Takeuchi, Badal C. Saha, Rosemary W. Elliott, R E Ganschow and Katherine Tepperman. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cellular Biochemistry, The Journal of Cell Biology, European Journal of Biochemistry and Cell.
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.