Wira Eka Putra

420 citations
47 papers · 295 indexed · h-index 6
Topics
Computational Drug Discovery Methods (12 papers)Medicinal Plant Research (9 papers)Moringa oleifera research and applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaCancer ResearchAnais da Academia Brasileira de Ciências

In The Last Decade

Wira Eka Putra

37 papers receiving 293 citations

Peers

Wira Eka Putra
Comparison fields: 5 of 79
  • Immunology 121
  • Molecular Biology 76
  • Oncology 76
  • Plant Science 48
  • Education 31
Replace Vijay Kumar Sirohi with:
Vijay Kumar Sirohi India
Xiaolu Wang China
Huang-Hui Chen Taiwan
Zhiru Xiu China
Chang Peng China
Qi An China
Ivanise Marina Moretti Rebecchi Brazil
Laleh Golkar United States
Jae Woo Park South Korea
Ning Zhou China
Wira Eka Putra relative to Vijay Kumar Sirohi India Vijay Kumar Sirohi's profile →
Citations per field
00.5×
Vijay Kumar Sirohi · 1×
Citations per year

Countries citing papers authored by Wira Eka Putra

Since Specialization
Citations

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

Fields of papers citing papers by Wira Eka Putra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wira Eka Putra. 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 Wira Eka Putra. The network helps show where Wira Eka Putra may publish in the future.

Co-authorship network of co-authors of Wira Eka Putra

This figure shows the co-authorship network connecting the top 25 collaborators of Wira Eka Putra. A scholar is included among the top collaborators of Wira Eka Putra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wira Eka Putra. Wira Eka Putra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Plants diversity as a medicinal plants by the Tengger Tribe, Bromo Tengger Semeru National Park, East Java, Indonesia
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17 149
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Effect of Dexamethasone Administration toward Hematopoietic Stem Cells and Blood Progenitor Cells Expression on BALB/c Mice
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Expression of Erythroid Progenitor Cells and Erythrocytes on Dexamethasone Induced-Mice
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About Wira Eka Putra

Wira Eka Putra is a scholar working on Applied Microbiology and Biotechnology, Horticulture and Computational Theory and Mathematics, having authored 47 papers that have together received 295 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Medicinal Plant Research (9 papers) and Moringa oleifera research and applications (6 papers). The work is most often cited by research in Immunology (121 citations), Oncology (76 citations) and Applied Microbiology and Biotechnology (4 citations). Wira Eka Putra has collaborated with scholars based in Indonesia, Thailand and Malaysia. Frequent co-authors include Muhaimin Rifa’i, Daisuke Endo, Yohei Miyagi, Noriaki Sakuragi, Haruka Wada, Sayaka Nakanishi, Hidemichi Watari, Tomoyuki Yokose, Yataro Daigo and Ken‐ichiro Seino. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Anais da Academia Brasileira de Ciências.

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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