Albert Green
Impact in
- Biotechnology top 5%
- Cancer Research and Treatments
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Cancer Research and Treatments 6
- Oncology 6
- Peptidase Inhibition and Analysis 2
- Co-authors
- Konstantin T. Christov (18 shared papers)Anne L. Shilkaitis (14 shared papers)Tapas K. Das Gupta (14 shared papers)Tohru Yamada (13 shared papers)Laura Bratescu (6 shared papers)Craig W. Beattie (4 shared papers)Rajeshwari R. Mehta (3 shared papers)Fatima Lekmine (3 shared papers)
- Journals
- International Journal of Oncology (2 papers)Breast Cancer Research and Treatment (2 papers)Signal Transduction and Targeted Therapy (1 paper)Cancer Research (1 paper)Carcinogenesis (1 paper)
- Partner nations
- United StatesBulgariaItaly
In The Last Decade
Albert Green
26 papers receiving 691 citations
Peers
Comparison fields: 5 of 81
- Biotechnology 171
- Microbiology 68
- Catalysis 47
- Oncology 128
- Molecular Biology 334
Countries citing papers authored by Albert Green
This map shows the geographic impact of Albert Green'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 Albert Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Green more than expected).
Fields of papers citing papers by Albert Green
This network shows the impact of papers produced by Albert Green. 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 Albert Green. The network helps show where Albert Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Green, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 154 | |
| 2 | 2011 | 106 | |
| 3 | 2009 | 102 | |
| 4 | 1960 | 52 | |
| 5 | 2023 | 35 | |
| 6 | 2022 | 30 | |
| 7 | 2005 | 30 | |
| 8 | 2000 | 26 | |
| 9 | 2003 | 25 | |
| 10 | 1999 | 23 | |
| 11 | 1996 | 20 | |
| 12 | 2022 | 17 | |
| 13 | 2015 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2013 | 9 | |
| 16 | 1992 | 9 | |
| 17 | 2003 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2023 | 5 |
About Albert Green
Albert Green is a scholar working on Biotechnology, Oncology, Molecular Biology, Biomedical Engineering and Genetics, having authored 27 papers that have together received 707 indexed citations. Recurring topics across this work include Cancer Research and Treatments (6 papers), Nanoplatforms for cancer theranostics (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (3 papers), Estrogen and related hormone effects (2 papers), melanin and skin pigmentation (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Biotechnology (171 citations), Microbiology (68 citations), Catalysis (47 citations), Oncology (128 citations) and Molecular Biology (334 citations). Albert Green has collaborated with scholars based in United States, Bulgaria and Italy. Frequent co-authors include Konstantin T. Christov, Anne L. Shilkaitis, Tapas K. Das Gupta, Tohru Yamada, Laura Bratescu, Craig W. Beattie, Rajeshwari R. Mehta, Fatima Lekmine, Brad N. Taylor and Ananda Mohan Chakrabarty. Their work appears in journals such as International Journal of Oncology, Breast Cancer Research and Treatment, Signal Transduction and Targeted Therapy, Cancer Research and Carcinogenesis.
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.