Nashi Widodo
Impact in
-
- Phytochemicals and Medicinal Plants
- Medicinal Plants and Neuroprotection
- Drug Discovery top 5%
Papers in
-
- Phytochemicals and Medicinal Plants 12
-
- Aquatic life and conservation 11
- Echinoderm biology and ecology 10
- Co-authors
- Sunil C. Kaul (20 shared papers)Renu Wadhwa (20 shared papers)Muhaimin Rifa’i (45 shared papers)Teresa Liliana Wargasetia (12 shared papers)Bhupal Govinda Shrestha (3 shared papers)Tetsuro Ishii (4 shared papers)Kamaljit Kaur (5 shared papers)Didik Priyandoko (8 shared papers)
In The Last Decade
Nashi Widodo
178 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 145
- Complementary and alternative medicine 526
- Drug Discovery 4
- Applied Microbiology and Biotechnology 37
- Aquatic Science 132
- Aging 27
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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 160 | |
| 2 | 2010 | 143 | |
| 3 | 2016 | 95 | |
| 4 | 2008 | 86 | |
| 5 | 2013 | 82 | |
| 6 | 2013 | 74 | |
| 7 | 2007 | 74 | |
| 8 | 2011 | 62 | |
| 9 | 2004 | 54 | |
| 10 | 2018 | 51 | |
| 11 | 2008 | 49 | |
| 12 | 2018 | 48 | |
| 13 | 2017 | 40 | |
| 14 | 2016 | 36 | |
| 15 | 2020 | 34 | |
| 16 | 2012 | 34 | |
| 17 | 2009 | 32 | |
| 18 | 2021 | 31 | |
| 19 | 2014 | 29 | |
| 20 | 2007 | 29 |
About Nashi Widodo
Nashi Widodo is a scholar working on Complementary and alternative medicine, Aquatic Science, Molecular Biology, Computational Theory and Mathematics and Pharmacology, having authored 206 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Phytochemicals and Medicinal Plants (12 papers), Aquatic life and conservation (11 papers), Natural Antidiabetic Agents Studies (11 papers), Echinoderm biology and ecology (10 papers), Phytochemicals and Antioxidant Activities (8 papers), Tannin, Tannase and Anticancer Activities (8 papers) and Phytochemical compounds biological activities (7 papers). The work is most often cited by research in Complementary and alternative medicine (526 citations), Drug Discovery (4 citations), Applied Microbiology and Biotechnology (37 citations), Aquatic Science (132 citations) and Aging (27 citations). Nashi Widodo has collaborated with scholars based in Indonesia, Japan and Malaysia. Frequent co-authors include Sunil C. Kaul, Renu Wadhwa, Muhaimin Rifa’i, Teresa Liliana Wargasetia, Bhupal Govinda Shrestha, Tetsuro Ishii, Kamaljit Kaur, Didik Priyandoko, Navjot Shah and Yasuomi Takagi. Their work appears in journals such as F1000Research, Heliyon, Journal of Advanced Pharmaceutical Technology amp Research, Bioinformatics and Biology Insights and Cancer Letters.
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.