Nashi Widodo

2.7k total citations
198 papers, 1.9k citations indexed

About

Nashi Widodo is a scholar working on Molecular Biology, Plant Science and Complementary and alternative medicine. According to data from OpenAlex, Nashi Widodo has authored 198 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 25 papers in Plant Science and 22 papers in Complementary and alternative medicine. Recurrent topics in Nashi Widodo's work include Computational Drug Discovery Methods (18 papers), Phytochemicals and Medicinal Plants (13 papers) and Natural Antidiabetic Agents Studies (11 papers). Nashi Widodo is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Phytochemicals and Medicinal Plants (13 papers) and Natural Antidiabetic Agents Studies (11 papers). Nashi Widodo collaborates with scholars based in Indonesia, Japan and Malaysia. Nashi Widodo's co-authors include Sunil C. Kaul, Renu Wadhwa, Muhaimin Rifa’i, Teresa Liliana Wargasetia, Tetsuro Ishii, Bhupal Govinda Shrestha, Navjot Shah, Didik Priyandoko, Kamaljit Kaur and Yasuomi Takagi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nashi Widodo

171 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nashi Widodo Indonesia 21 833 477 212 152 128 198 1.9k
Jeongmin Lee South Korea 22 948 1.1× 186 0.4× 226 1.1× 119 0.8× 130 1.0× 145 2.0k
Hee‐Sung Chae South Korea 28 1.0k 1.2× 230 0.5× 496 2.3× 92 0.6× 143 1.1× 98 2.1k
Sibao Chen China 31 1.3k 1.6× 618 1.3× 613 2.9× 164 1.1× 222 1.7× 121 2.8k
Márcia Inês Goettert Brazil 22 814 1.0× 140 0.3× 331 1.6× 77 0.5× 78 0.6× 93 1.7k
Kholoud Arafat United Arab Emirates 24 590 0.7× 166 0.3× 356 1.7× 156 1.0× 102 0.8× 55 1.6k
Xiaotao Hou China 18 564 0.7× 253 0.5× 158 0.7× 147 1.0× 86 0.7× 79 1.8k
Jeong Ah Kim South Korea 27 1.4k 1.7× 364 0.8× 628 3.0× 94 0.6× 184 1.4× 168 2.9k
Nripendranath Mandal India 29 981 1.2× 387 0.8× 677 3.2× 184 1.2× 54 0.4× 108 3.0k
Ji Hye Kim South Korea 25 546 0.7× 124 0.3× 176 0.8× 160 1.1× 161 1.3× 75 1.6k
Chen-Huan Yu China 27 861 1.0× 174 0.4× 363 1.7× 99 0.7× 276 2.2× 72 2.1k

Countries citing papers authored by Nashi Widodo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nashi Widodo

This figure shows the co-authorship network connecting the top 25 collaborators of Nashi Widodo. A scholar is included among the top collaborators of Nashi Widodo 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 Nashi Widodo. Nashi Widodo 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
1.
Permatasari, Happy Kurnia, et al.. (2025). Green synthesized Moringa oleifera Leaf Powder – Silver Nanoparticles (MOLP-AgNPs) promotes apoptosis by targeting Caspase-3 and Phosphorylated-AKT signaling in MCF-7 cells. Journal of Agriculture and Food Research. 19. 101640–101640. 6 indexed citations
2.
3.
Widodo, Nashi, et al.. (2025). Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data. Healthcare Informatics Research. 31(1). 16–22.
4.
Wargasetia, Teresa Liliana, et al.. (2025). Extract of Holothuria scabra exhibits synergistic effect with chemotherapeutic agents against breast cancer in vitro. Journal of Pharmacy & Pharmacognosy Research. 13(3). 919–924.
5.
Widyananda, Muhammad Hermawan, et al.. (2024). Revealing the anti-inflammatory activity of Euphorbia hirta extract: transcriptomic and nitric oxide production analysis in LPS-Induced RAW 264.7 cells. Food and Agricultural Immunology. 35(1). 2 indexed citations
6.
Widodo, Nashi, et al.. (2024). Single nucleotide polymorphism based on hypertension potential risk prediction using LSTM with Adam optimizer. Indonesian Journal of Electrical Engineering and Computer Science. 33(2). 1126–1126. 2 indexed citations
7.
Warsito, Warsito, et al.. (2023). In-vitro and In-silico Studies of a Phenylpropanoid Compound Isolated from Sterculia quadrifida Seeds and Its Inhibitory Effect on Matrix Metalloproteinase-9. Tropical Journal of Natural Product Research. 7(7). 1 indexed citations
8.
Widyananda, Muhammad Hermawan, et al.. (2023). Mutation-Induced Changes in the Stability, B-Cell Epitope, and Antigenicity of the Sars-Cov-2 Variant Spike Protein: A Comparative Computational Stud. Karbala International Journal of Modern Science. 9(3). 1 indexed citations
9.
10.
Fatchiyah, Fatchiyah, et al.. (2022). Potential of bioactive compound of Cyperus rotundus L. rhizome extract as inhibitor of PD-L1/PD-1 interaction: An in silico study. Agriculture and Natural Resources. 56(4). 7 indexed citations
11.
Rifa’i, Muhaimin, et al.. (2022). Potential of Curcuma xanthorrhiza ethanol extract in inhibiting the growth of T47D breast cancer cell line: In vitro and bioinformatic approach. Journal of Pharmacy & Pharmacognosy Research. 10(6). 1015–1025. 1 indexed citations
12.
Wargasetia, Teresa Liliana & Nashi Widodo. (2019). The Link of Marine Products with Autophagy-Associated Cell Death in Cancer Cell. Current Pharmacology Reports. 5(1). 35–42. 6 indexed citations
13.
Rifa’i, Muhaimin, et al.. (2017). Designing a polytope for use in a broad-spectrum dengue virus vaccine. Journal of Taibah University Medical Sciences. 13(2). 156–161. 1 indexed citations
14.
Na, Youjin, Sunil C. Kaul, Jihoon Ryu, et al.. (2016). Stress Chaperone Mortalin Contributes to Epithelial-to-Mesenchymal Transition and Cancer Metastasis. Cancer Research. 76(9). 2754–2765. 91 indexed citations
15.
Rifa’i, Muhaimin, et al.. (2016). A comparative analysis of serum albumin from different species to determine a natural source of albumin that might be useful for human therapy. Journal of Taibah University Medical Sciences. 11(3). 243–249. 14 indexed citations
16.
Toha, Abdul Hamid A., et al.. (2014). GENETIC ASPECTS OF THE COMMERCIALLY USED SEA URCHIN Tripneustes gratilla. SHILAP Revista de lepidopterología. 20(1). 12–17. 5 indexed citations
17.
Widodo, Nashi, et al.. (2014). BRADYKININ B2 RECEPTOR GENE POLYMORPHISM ANALYSIS IN HYPERTENSIVE PATIENTS AT DR SAIFUL ANWAR HOSPITAL MALANG. Biotropika Journal of Tropical Biology. 2(1). 51–54. 1 indexed citations
18.
Widodo, Nashi, et al.. (2014). ETHANOL EXTRACTS OF TUBERS DIOSCOREA ALATA L. AS ANTIALLERGIC AGENT ON MICE BALB/C INDUCED WITH OVALBUMIN. International Journal of Pharma and Bio Sciences.
19.
Toha, Abdul Hamid A., et al.. (2013). Spatial Distribution of Tripneustes gratilla on Ambon Island. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Toha, Abdul Hamid A., Sutiman Bambang Sumitro, Luchman Hakim, & Nashi Widodo. (2012). KONDISI HABITAT BULU BABI Tripneustes gratilla (LINNAEUS, 1758) DI TELUK CENDERAWASIH. Berkala Penelitian Hayati. 17(2). 139–145. 7 indexed citations

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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