Yulanda Antonius

25 papers receiving 456 citations

Peers

Yulanda Antonius
Comparison fields: 5 of 77
  • Applied Microbiology and Biotechnology 16
  • General Health Professions 142
  • Drug Discovery 1
  • Computational Theory and Mathematics 74
  • Plant Science 145
Replace Muhammad Hermawan Widyananda with:
Muhammad Hermawan Widyananda Indonesia
Amaq Fadholly Indonesia
Pavel Burkov Russia
Suhailah Hayaza Indonesia
Akshay R. Yadav India
Vemula Sarojamma India
Piya Paul Mudgal India
Fred Wamunyokoli Kenya
Md. Rimon Parves Bangladesh
Priyashi Rao India
Yulanda Antonius relative to Muhammad Hermawan Widyananda Indonesia Muhammad Hermawan Widyananda's profile →
Citations per field
00.5×
Muhammad Hermawan Widyananda · 1×
Citations per year

Countries citing papers authored by Yulanda Antonius

Since Specialization
Citations

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

Fields of papers citing papers by Yulanda Antonius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202389
2 202163
3 202263
4 202242
5 202039
6 202137
7 202220
8 202317
9 202017
10 202216
11 202213
12 20229
13 20238
14 20236
15 20235
16 20204
17 20174
18 20243
19 20173
20 20232

About Yulanda Antonius

Yulanda Antonius is a scholar working on Plant Science, Molecular Biology, Computational Theory and Mathematics, General Health Professions and Infectious Diseases, having authored 27 papers that have together received 467 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Diverse Scientific Research Studies (7 papers), Medicinal Plant Research (5 papers), vaccines and immunoinformatics approaches (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Synthesis and biological activity (3 papers), Ferroptosis and cancer prognosis (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (16 citations), General Health Professions (142 citations), Drug Discovery (1 citation), Computational Theory and Mathematics (74 citations) and Plant Science (145 citations). Yulanda Antonius has collaborated with scholars based in Indonesia, Russia and India. Frequent co-authors include Arif Nur Muhammad Ansori, Viol Dhea Kharisma, Arli Aditya Parikesit, Muhammad Hermawan Widyananda, Rahadian Zainul, Marina Derkho, Максим Ребезов, Pavel Burkov, Vikash Jakhmola and Amaq Fadholly. Their work appears in journals such as Clinica Chimica Acta, Karbala International Journal of Modern Science, International Journal of Applied Pharmaceutics, Journal of Pharmacy & Pharmacognosy Research and Research Journal of Pharmacy and Technology.

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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