Todd M. Gierahn
- Molecular Biology top 10%
- Immunology top 5%
- Biomedical Engineering top 10%
- Epidemiology top 10%
- Cancer Research top 10%
- Co-authors
- J. Christopher LoveAlex K. ShalekMarc H. WadsworthMario RoedererPratip K. ChattopadhyayRahul SatijaTravis K. HughesAndrew Butler
- Topics
- Single-cell and spatial transcriptomics (6 papers)T-cell and B-cell Immunology (5 papers)Pneumonia and Respiratory Infections (4 papers)
- Cited by
- ImmunologyMicrobiologyBiophysics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Todd M. Gierahn
27 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.1k
- Immunology 615
- Biomedical Engineering 366
- Epidemiology 309
- Cancer Research 230
Countries citing papers authored by Todd M. Gierahn
This map shows the geographic impact of Todd M. Gierahn'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 Todd M. Gierahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd M. Gierahn more than expected).
Fields of papers citing papers by Todd M. Gierahn
This network shows the impact of papers produced by Todd M. Gierahn. 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 Todd M. Gierahn. The network helps show where Todd M. Gierahn may publish in the future.
Co-authorship network of co-authors of Todd M. Gierahn
This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Gierahn. A scholar is included among the top collaborators of Todd M. Gierahn 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 Todd M. Gierahn. Todd M. Gierahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 13 | |
| 3 | 150 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 87 | |
| 8 | 5 | |
| 9 | Seq-Well: portable, low-cost RNA sequencing of single cells at high throughputbreakdown → | 593 |
| 10 | 10 | |
| 11 | 16 | |
| 12 | 76 | |
| 13 | 35 | |
| 14 | 291 | |
| 15 | 14 | |
| 16 | 25 | |
| 17 | 38 | |
| 18 | 152 | |
| 19 | 26 | |
| 20 | 87 |
About Todd M. Gierahn
Todd M. Gierahn is a scholar working on Microbiology, Immunology and Virology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (5 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Immunology (615 citations), Microbiology (155 citations) and Biophysics (142 citations). Todd M. Gierahn has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include J. Christopher Love, Alex K. Shalek, Marc H. Wadsworth, Mario Roederer, Pratip K. Chattopadhyay, Rahul Satija, Travis K. Hughes, Andrew Butler, Bryan D. Bryson and Sarah M. Fortune. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.