Nashi Widodo
Impact in
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- Phytochemicals and Medicinal Plants
- Medicinal Plants and Neuroprotection
- Aquatic Science top 5%
- Echinoderm biology and ecology
Papers in
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- Phytochemical compounds biological activities 9
- Co-authors
- Renu Wadhwa (21 shared papers)Sunil C. Kaul (21 shared papers)Muhaimin Rifa’i (46 shared papers)Teresa Liliana Wargasetia (13 shared papers)Bhupal Govinda Shrestha (3 shared papers)Tetsuro Ishii (4 shared papers)Didik Priyandoko (8 shared papers)Navjot Shah (4 shared papers)
In The Last Decade
Nashi Widodo
171 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Complementary and alternative medicine 477
- Aquatic Science 127
- Applied Microbiology and Biotechnology 33
- Aging 27
- Molecular Biology 833
Countries citing papers authored by Nashi Widodo
This map shows the geographic impact of Nashi Widodo'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 Nashi Widodo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nashi Widodo more than expected).
Fields of papers citing papers by Nashi Widodo
This network shows the impact of papers produced by Nashi Widodo. 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 Nashi Widodo. The network helps show where Nashi Widodo may publish in the future.
Co-authors
The 25 scholars most cited alongside Nashi Widodo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 144 | |
| 2 | 2010 | 132 | |
| 3 | 2016 | 91 | |
| 4 | 2013 | 82 | |
| 5 | 2008 | 76 | |
| 6 | 2007 | 65 | |
| 7 | 2013 | 61 | |
| 8 | 2011 | 57 | |
| 9 | 2018 | 47 | |
| 10 | 2018 | 47 | |
| 11 | 2004 | 46 | |
| 12 | 2008 | 42 | |
| 13 | 2017 | 37 | |
| 14 | 2016 | 35 | |
| 15 | 2012 | 34 | |
| 16 | 2009 | 27 | |
| 17 | 2014 | 27 | |
| 18 | 2021 | 26 | |
| 19 | 2015 | 26 | |
| 20 | 2007 | 25 |
About Nashi Widodo
Nashi Widodo is a scholar working on Molecular Biology, Plant Science, Complementary and alternative medicine, Aquatic Science and Computational Theory and Mathematics, having authored 198 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Phytochemicals and Medicinal Plants (13 papers), Aquatic life and conservation (11 papers), Natural Antidiabetic Agents Studies (11 papers), Echinoderm biology and ecology (11 papers), Medicinal Plants and Neuroprotection (10 papers), Phytochemical compounds biological activities (9 papers) and Tannin, Tannase and Anticancer Activities (8 papers). The work is most often cited by research in Complementary and alternative medicine (477 citations), Aquatic Science (127 citations), Applied Microbiology and Biotechnology (33 citations), Aging (27 citations) and Molecular Biology (833 citations). Nashi Widodo has collaborated with scholars based in Indonesia, Japan and Malaysia. Frequent co-authors include Renu Wadhwa, Sunil C. Kaul, Muhaimin Rifa’i, Teresa Liliana Wargasetia, Bhupal Govinda Shrestha, Tetsuro Ishii, Didik Priyandoko, Navjot Shah, Kamaljit Kaur and Yasuomi Takagi. Their work appears in journals such as Heliyon, PLoS ONE, Cancer Letters, Kuwait Journal of Science and Mechanisms of Ageing and Development.
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.