Michael A. Lodato
- Molecular Biology top 1%
- Genetics top 2%
- Cancer Research top 2%
- Immunology top 10%
- Plant Science top 10%
- Co-authors
- Rudolf JaenischJacob H. HannaLaurie A. BoyerEveline J. SteineAlbert W. ChengRichard A. YoungMenno P. CreyghtonPhillip A. Sharp
- Topics
- CRISPR and Genetic Engineering (10 papers)DNA Repair Mechanisms (7 papers)Cancer Genomics and Diagnostics (7 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Michael A. Lodato
24 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 4.3k
- Genetics 841
- Cancer Research 820
- Immunology 415
- Plant Science 337
Countries citing papers authored by Michael A. Lodato
This map shows the geographic impact of Michael A. Lodato'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 A. Lodato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Lodato more than expected).
Fields of papers citing papers by Michael A. Lodato
This network shows the impact of papers produced by Michael A. Lodato. 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 A. Lodato. The network helps show where Michael A. Lodato may publish in the future.
Co-authorship network of co-authors of Michael A. Lodato
This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Lodato. A scholar is included among the top collaborators of Michael A. Lodato 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 Michael A. Lodato. Michael A. Lodato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 20 | |
| 4 | 40 | |
| 5 | 120 | |
| 6 | 50 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 63 | |
| 10 | Aging and neurodegeneration are associated with increased mutations in single human neuronsbreakdown → | 389 |
| 11 | 359 | |
| 12 | 146 | |
| 13 | Reprogramming of postnatal neurons into induced pluripotent stem cells by defined factors | 1 |
| 14 | 209 | |
| 15 | 53 | |
| 16 | 32 | |
| 17 | Histone H3K27ac separates active from poised enhancers and predicts developmental statebreakdown → | 2891 |
| 18 | 330 | |
| 19 | 269 | |
| 20 | 76 |
About Michael A. Lodato
Michael A. Lodato is a scholar working on General Decision Sciences, Cancer Research and Molecular Biology, having authored 24 papers that have together received 5.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), DNA Repair Mechanisms (7 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Aging (98 citations) and Cancer Research (820 citations). Michael A. Lodato has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Rudolf Jaenisch, Jacob H. Hanna, Laurie A. Boyer, Eveline J. Steine, Albert W. Cheng, Richard A. Young, Menno P. Creyghton, Phillip A. Sharp, Bryce W. Carey and Garrett M. Frampton. Their work appears in journals such as Nature, Science and Cell.
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.