Michael Pigula
Impact in
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- Nanoplatforms for cancer theranostics
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- Nanoparticle-Based Drug Delivery
Papers in
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- Nanoplatforms for cancer theranostics 5
- Oncology 5
- Cancer Cells and Metastasis 4
- Co-authors
- Tayyaba Hasan (10 shared papers)Huang‐Chiao Huang (6 shared papers)Yan Baglo (3 shared papers)Barry J. Liang (1 shared paper)Daniel Najafali (1 shared paper)Yanyan Fang (1 shared paper)Sriram Anbil (4 shared papers)Imran Rizvi (4 shared papers)
- Journals
- Molecular Cancer Therapeutics (2 papers)Cancers (2 papers)Journal of Clinical Medicine (1 paper)Photochemistry and Photobiology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Michael Pigula
14 papers receiving 484 citations
Peers
Comparison fields: 5 of 83
- Biomedical Engineering 242
- Biomaterials 63
- Cancer Research 67
- Pulmonary and Respiratory Medicine 137
- Biotechnology 27
Countries citing papers authored by Michael Pigula
This map shows the geographic impact of Michael Pigula'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 Michael Pigula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Pigula more than expected).
Fields of papers citing papers by Michael Pigula
This network shows the impact of papers produced by Michael Pigula. 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 Michael Pigula. The network helps show where Michael Pigula may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Pigula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 253 | |
| 2 | 2018 | 46 | |
| 3 | 2020 | 41 | |
| 4 | 2020 | 39 | |
| 5 | 2019 | 32 | |
| 6 | 2017 | 27 | |
| 7 | 2018 | 25 | |
| 8 | 2020 | 10 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 1 |
About Michael Pigula
Michael Pigula is a scholar working on Biomedical Engineering, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 14 papers that have together received 489 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Photodynamic Therapy Research Studies (4 papers), Cancer Cells and Metastasis (4 papers), Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (3 papers), Vibrio bacteria research studies (2 papers), CRISPR and Genetic Engineering (2 papers) and Intraperitoneal and Appendiceal Malignancies (2 papers). The work is most often cited by research in Biomedical Engineering (242 citations), Biomaterials (63 citations), Cancer Research (67 citations), Pulmonary and Respiratory Medicine (137 citations) and Biotechnology (27 citations). Michael Pigula has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Tayyaba Hasan, Huang‐Chiao Huang, Yan Baglo, Barry J. Liang, Daniel Najafali, Yanyan Fang, Sriram Anbil, Imran Rizvi, Shubhankar Nath and Srivalleesha Mallidi. Their work appears in journals such as Molecular Cancer Therapeutics, Cancers, Journal of Clinical Medicine, Photochemistry and Photobiology and Nature Communications.
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.