Sayed Sayem

573 citations
12 papers · 448 · h-index 9

Impact in

Papers in

    • Enzyme Production and Characterization 5
    • Microbial Inactivation Methods 1
    • Protein Hydrolysis and Bioactive Peptides 3
    • Bacterial biofilms and quorum sensing 2

Sayed Sayem

11 papers receiving 426 citations

Peers

Sayed Sayem
Comparison fields: 5 of 68
  • Biotechnology 223
  • Applied Microbiology and Biotechnology 8
  • Periodontics 18
  • Molecular Medicine 19
  • Food Science 68
Replace Jun Hitomi with:
Jun Hitomi Japan
Madangchanok Imchen India
Palanichamy Esakkiraj India
Annabella Tramice Italy
Hiroyuki Kusada Japan
Suganya Kannan India
Shannon B. Conners United States
Jörg Feesche Germany
Hilal Ay Türkiye
Birgit Veith Germany
Sayed Sayem relative to Jun Hitomi Japan Jun Hitomi's profile →
Citations per field
00.5×
Jun Hitomi · 1×
Citations per year

Countries citing papers authored by Sayed Sayem

Since Specialization
Citations

This map shows the geographic impact of Sayed Sayem'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 Sayed Sayem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayed Sayem more than expected).

Fields of papers citing papers by Sayed Sayem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayed Sayem. 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 Sayed Sayem. The network helps show where Sayed Sayem may publish in the future.

Co-authors

The 25 scholars most cited alongside Sayed Sayem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sayed Sayem Line = papers co-authored together Sayed Sayem links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2013131
2 2011115
3 201341
4 200738
5 201131
6 201231
7 201731
8 201618
9
EXTRACTION, PARTIAL PURIFICATION AND CHARACTERIZATION OF TOMATO INVERTASE
20078
10 20183
11 20191
12 20250

About Sayed Sayem

Sayed Sayem is a scholar working on Biotechnology, Molecular Biology, Plant Science, Organic Chemistry and Pharmacology, having authored 12 papers that have together received 448 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (5 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Phytase and its Applications (3 papers), Bacterial biofilms and quorum sensing (2 papers), Microbial Inactivation Methods (1 paper), Antibiotic Use and Resistance (1 paper), Meat and Animal Product Quality (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Biotechnology (223 citations), Applied Microbiology and Biotechnology (8 citations), Periodontics (18 citations), Molecular Medicine (19 citations) and Food Science (68 citations). Sayed Sayem has collaborated with scholars based in Bangladesh, Italy and Malaysia. Frequent co-authors include Palash Kumar Sarker, Mario Varcamonti, Emiliano Manzo, Anna Zanfardino, Angelina Cordone, Annabella Tramice, Maurilio De Felice, Md. Zahangir Alam, Mohammad Jakir Hossain Khan and Nassereldeen Ahmed Kabbashi. Their work appears in journals such as SpringerPlus, Microbial Cell Factories, Journal of Natural Products, Waste and Biomass Valorization and International Journal of Food Microbiology.

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.

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