Mega Safithri

57 papers receiving 321 citations

Peers

Mega Safithri
Comparison fields: 5 of 72
  • Pharmacology 55
  • Applied Microbiology and Biotechnology 11
  • Drug Discovery 1
  • Food Science 100
  • Biochemistry 31
Replace Carla Wulandari Sabandar with:
Carla Wulandari Sabandar Indonesia
Desy Fitrya Syamsumir Malaysia
Sedarnawati Yasni Indonesia
Amira A. El‐Anssary Egypt
Al-Shwyeh Hussah Abdullah Malaysia
Andy J. Pérez Chile
Junaid R Shaikh India
Abbas Ali Dehpour Iran
Lauryna Pudžiuvelytė Lithuania
Nazim Mamedov United States
Mega Safithri relative to Carla Wulandari Sabandar Indonesia Carla Wulandari Sabandar's profile →
Citations per field
00.5×1.5×1.8×
Carla Wulandari Sabandar · 1×
Citations per year

Countries citing papers authored by Mega Safithri

Since Specialization
Citations

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

Fields of papers citing papers by Mega Safithri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mega Safithri, 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 Mega Safithri Line = papers co-authored together Mega Safithri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200829
2 201020
3 201919
4 201918
5 201118
6 201616
7 201012
8
Formula of Piper crocatum, Cinnamomum burmanii, and Zingiber officinale extracts as a functional beverage for diabetics.
201611
9 201211
10 202010
11 201910
12 20219
13 20219
14 20199
15 20188
16 20198
17 20197
18 20207
19 20226
20 20216

About Mega Safithri

Mega Safithri is a scholar working on Plant Science, Molecular Biology, Food Science, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 70 papers that have together received 338 indexed citations. Recurring topics across this work include Medicinal Plant Research (31 papers), Natural Antidiabetic Agents Studies (12 papers), Piperaceae Chemical and Biological Studies (11 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Phytochemicals and Antioxidant Activities (8 papers), Aquatic life and conservation (8 papers), Essential Oils and Antimicrobial Activity (8 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Pharmacology (55 citations), Applied Microbiology and Biotechnology (11 citations), Drug Discovery (1 citation), Food Science (100 citations) and Biochemistry (31 citations). Mega Safithri has collaborated with scholars based in Indonesia, Japan and Malaysia. Frequent co-authors include Kustiariyah Tarman, Maria Bintang, Farah Fahma, Iriani Setyaningsih, Sulistiyani Sulistiyani, Suryani Suryani, Syamsul Falah, Toshisada Suzuki, Pipih Suptijah and T. Katayama. Their work appears in journals such as Case Studies in Chemical and Environmental Engineering, Journal of King Saud University - Science, HAYATI Journal of Biosciences, Journal of Applied Pharmaceutical Science and Tropical Life Sciences Research.

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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