Michael Chavez
Impact in
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- Innovation and Socioeconomic Development
Papers in
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- CRISPR and Genetic Engineering 5
- RNA and protein synthesis mechanisms 3
- Gene Regulatory Network Analysis 2
- Genetics 3
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Lei S. Qi (3 shared papers)Xinyi Chen (2 shared papers)Cheemeng Tan (4 shared papers)Elizabeth S. Ingham (2 shared papers)Tingrui Pan (1 shared paper)Ryan R. Davis (2 shared papers)Clifford G. Tepper (2 shared papers)Jinzhen Fan (1 shared paper)
- Journals
- ACS Synthetic Biology (2 papers)Nature Biomedical Engineering (1 paper)Nature Reviews Nephrology (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Michael Chavez
12 papers receiving 524 citations
Michael Chavez's Hit Papers
Peers
Comparison fields: 5 of 85
- Business and International Management 41
- Aging 18
- Molecular Biology 323
- Immunology 80
- Biotechnology 29
Countries citing papers authored by Michael Chavez
This map shows the geographic impact of Michael Chavez'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 Chavez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chavez more than expected).
Fields of papers citing papers by Michael Chavez
This network shows the impact of papers produced by Michael Chavez. 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 Chavez. The network helps show where Michael Chavez may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Chavez, 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 | Advances in CRISPR therapeutics Hit paper breakdown → | 2022 | 114 |
| 2 | 2019 | 111 | |
| 3 | 2021 | 69 | |
| 4 | 2018 | 66 | |
| 5 | 2017 | 55 | |
| 6 | 2016 | 35 | |
| 7 | 2020 | 23 | |
| 8 | 2016 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 1993 | 14 | |
| 11 | 2017 | 2 | |
| 12 | Formative Research on the Heuristic Task Analysis. | 2000 | 2 |
About Michael Chavez
Michael Chavez is a scholar working on Molecular Biology, Genetics, Immunology, Mechanical Engineering and Biomedical Engineering, having authored 12 papers that have together received 529 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (2 papers), Immunotherapy and Immune Responses (2 papers), Gene Regulatory Network Analysis (2 papers), Immune Cell Function and Interaction (2 papers), Neonatal Respiratory Health Research (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Business and International Management (41 citations), Aging (18 citations), Molecular Biology (323 citations), Immunology (80 citations) and Biotechnology (29 citations). Michael Chavez has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Lei S. Qi, Xinyi Chen, Cheemeng Tan, Elizabeth S. Ingham, Tingrui Pan, Ryan R. Davis, Clifford G. Tepper, Jinzhen Fan, Asaf Ilovitsh and Brett Z. Fite. Their work appears in journals such as ACS Synthetic Biology, Nature Biomedical Engineering, Nature Reviews Nephrology, Scientific Reports 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.