Michael Kaleko
- Genetics top 0.5%
- Virus-based gene therapy research 37
- Oncology top 2%
- CAR-T cell therapy research 10
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 11
- Viral Infectious Diseases and Gene Expression in Insects 11
- RNA Interference and Gene Delivery 10
- Hematology top 2%
- Hemophilia Treatment and Research 14
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- Clostridium difficile and Clostridium perfringens research 12
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- Antibiotic Resistance in Bacteria 11
- Co-authors
- A. Dusty MillerSheila ConnellyAlan McClellandWilliam J. RutterTheodore A SmithDawn B. KaydaMichele G. MehaffeyNeeraja Idamakanti
- Cited by
- GeneticsOncologyMolecular Biology
- Partner nations
- United StatesSwitzerlandSouth Africa
In The Last Decade
Michael Kaleko
75 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 108
- Genetics 2.1k
- Oncology 1.1k
- Molecular Biology 2.6k
- Hematology 412
- Endocrinology, Diabetes and Metabolism 520
Countries citing papers authored by Michael Kaleko
This map shows the geographic impact of Michael Kaleko'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 Kaleko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kaleko more than expected).
Fields of papers citing papers by Michael Kaleko
This network shows the impact of papers produced by Michael Kaleko. 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 Kaleko. The network helps show where Michael Kaleko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Kaleko, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2019 | 6 | |
| 4 | 2018 | 2 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 55 | |
| 7 | 2004 | 77 | |
| 8 | 2004 | 14 | |
| 9 | 2004 | 8 | |
| 10 | 2003 | 108 | |
| 11 | 2002 | 9 | |
| 12 | 2002 | 89 | |
| 13 | 2000 | 37 | |
| 14 | 1999 | 36 | |
| 15 | 1998 | 74 | |
| 16 | 1996 | 57 | |
| 17 | 1993 | 295 | |
| 18 | 1993 | 19 | |
| 19 | Transformation mediated by the human HER-2 gene independent of the epidermal growth factor receptor. | 1992 | 138 |
| 20 | 1990 | 54 |
About Michael Kaleko
Michael Kaleko is a scholar working on Molecular Medicine, Hematology and Genetics, having authored 76 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (37 papers), Hemophilia Treatment and Research (14 papers), Clostridium difficile and Clostridium perfringens research (12 papers), CRISPR and Genetic Engineering (11 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Antibiotic Resistance in Bacteria (11 papers), RNA Interference and Gene Delivery (10 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Genetics (2.1k citations), Oncology (1.1k citations) and Molecular Biology (2.6k citations). Michael Kaleko has collaborated with scholars based in United States, Switzerland and South Africa. Frequent co-authors include A. Dusty Miller, Sheila Connelly, Alan McClelland, William J. Rutter, Theodore A Smith, Dawn B. Kayda, Michele G. Mehaffey, Neeraja Idamakanti, J. Victor Garcia and Bruce C. Trapnell. Their work appears in journals such as Human Gene Therapy, Blood, Journal of Cellular Physiology, Open Forum Infectious Diseases and Molecular Therapy.
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.