Michael E. Todhunter
Impact in
- Aging top 10%
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
Papers in
-
- 3D Printing in Biomedical Research 9
- Microfluidic and Bio-sensing Technologies 2
-
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- Zev J. Gartner (8 shared papers)Mark A. LaBarge (13 shared papers)James C. Garbe (4 shared papers)Alec E. Cerchiari (5 shared papers)Tejal A. Desai (4 shared papers)Kyle E. Broaders (2 shared papers)Justin Farlow (3 shared papers)Jennifer S. Liu (1 shared paper)
- Journals
- iScience (2 papers)Nature Communications (1 paper)Tissue Engineering Part C Methods (1 paper)Breast Cancer Research (1 paper)Nature Methods (1 paper)
- Partner nations
- United StatesNorwayPalestinian Territory
In The Last Decade
Michael E. Todhunter
18 papers receiving 687 citations
Peers
Comparison fields: 5 of 87
- Aging 24
- Biomedical Engineering 318
- Cell Biology 114
- Molecular Biology 378
- Oncology 109
Countries citing papers authored by Michael E. Todhunter
This map shows the geographic impact of Michael E. Todhunter'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 E. Todhunter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Todhunter more than expected).
Fields of papers citing papers by Michael E. Todhunter
This network shows the impact of papers produced by Michael E. Todhunter. 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 E. Todhunter. The network helps show where Michael E. Todhunter may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael E. Todhunter, 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 | 2015 | 202 | |
| 2 | 2011 | 133 | |
| 3 | 2015 | 96 | |
| 4 | 2017 | 59 | |
| 5 | 2021 | 40 | |
| 6 | 2016 | 39 | |
| 7 | 2018 | 23 | |
| 8 | 2014 | 21 | |
| 9 | 2024 | 21 | |
| 10 | 2009 | 16 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2017 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 0 |
About Michael E. Todhunter
Michael E. Todhunter is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Cell Biology and Aging, having authored 19 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), 3D Printing in Biomedical Research (9 papers), Cellular Mechanics and Interactions (6 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Cell Image Analysis Techniques (3 papers), Pluripotent Stem Cells Research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Aging (24 citations), Biomedical Engineering (318 citations), Cell Biology (114 citations), Molecular Biology (378 citations) and Oncology (109 citations). Michael E. Todhunter has collaborated with scholars based in United States, Norway and Palestinian Territory. Frequent co-authors include Zev J. Gartner, Mark A. LaBarge, James C. Garbe, Alec E. Cerchiari, Tejal A. Desai, Kyle E. Broaders, Justin Farlow, Jennifer S. Liu, Alex J. Hughes and Maxwell C. Coyle. Their work appears in journals such as iScience, Nature Communications, Tissue Engineering Part C Methods, Breast Cancer Research and Nature Methods.
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.