Muhammad Hasan Bashari
Impact in
- Drug Discovery top 10%
-
- Multiple Myeloma Research and Treatments
Papers in
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- Protein Degradation and Inhibitors 4
- Oncology 11
- Cancer Cells and Metastasis 3
- Co-authors
- Klaus Podar (6 shared papers)Fengjuan Fan (6 shared papers)Sonia Vallet (6 shared papers)Martin Sattler (5 shared papers)Hartmut Goldschmidt (4 shared papers)Giovanni Tonon (4 shared papers)Indra Wijaya (6 shared papers)Joseph T. Opferman (2 shared papers)
- Journals
- Scientific Reports (1 paper)Breast Cancer Targets and Therapy (1 paper)Leukemia (1 paper)Breast Cancer Research (1 paper)Annals of Oncology (1 paper)
- Partner nations
- IndonesiaUnited StatesGermany
In The Last Decade
Muhammad Hasan Bashari
42 papers receiving 306 citations
Peers
Comparison fields: 5 of 84
- Drug Discovery 2
- Hematology 51
- Biotechnology 28
- Cancer Research 43
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Muhammad Hasan Bashari
This map shows the geographic impact of Muhammad Hasan Bashari'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 Muhammad Hasan Bashari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Hasan Bashari more than expected).
Fields of papers citing papers by Muhammad Hasan Bashari
This network shows the impact of papers produced by Muhammad Hasan Bashari. 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 Muhammad Hasan Bashari. The network helps show where Muhammad Hasan Bashari may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Hasan Bashari, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2021 | 31 | |
| 3 | 2021 | 29 | |
| 4 | 2016 | 29 | |
| 5 | 2013 | 29 | |
| 6 | 2019 | 17 | |
| 7 | 2016 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 2 |
About Muhammad Hasan Bashari
Muhammad Hasan Bashari is a scholar working on Molecular Biology, Oncology, Biotechnology, Pediatrics, Perinatology and Child Health and Computational Theory and Mathematics, having authored 51 papers that have together received 320 indexed citations. Recurring topics across this work include Marine Sponges and Natural Products (8 papers), Computational Drug Discovery Methods (6 papers), Protein Degradation and Inhibitors (4 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer Cells and Metastasis (3 papers), Tannin, Tannase and Anticancer Activities (3 papers), Synthesis and biological activity (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Drug Discovery (2 citations), Hematology (51 citations), Biotechnology (28 citations), Cancer Research (43 citations) and Applied Microbiology and Biotechnology (5 citations). Muhammad Hasan Bashari has collaborated with scholars based in Indonesia, United States and Germany. Frequent co-authors include Klaus Podar, Fengjuan Fan, Sonia Vallet, Martin Sattler, Hartmut Goldschmidt, Giovanni Tonon, Indra Wijaya, Joseph T. Opferman, Andreas Schneeweiß and Henning Schulze‐Bergkamen. Their work appears in journals such as Scientific Reports, Breast Cancer Targets and Therapy, Leukemia, Breast Cancer Research and Annals of Oncology.
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.