Marc H. Wadsworth
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Oncology top 10%
- Hematology top 5%
- Co-authors
- Alex K. ShalekTravis K. HughesTodd M. GierahnJ. Christopher LoveBryan D. BrysonSarah M. FortuneRahul SatijaAndrew Butler
- Topics
- Single-cell and spatial transcriptomics (12 papers)Extracellular vesicles in disease (3 papers)CAR-T cell therapy research (3 papers)
- Cited by
- ImmunologyCancer ResearchHematology
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Marc H. Wadsworth
21 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.3k
- Immunology 824
- Cancer Research 474
- Oncology 357
- Hematology 341
Countries citing papers authored by Marc H. Wadsworth
This map shows the geographic impact of Marc H. Wadsworth'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 Marc H. Wadsworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc H. Wadsworth more than expected).
Fields of papers citing papers by Marc H. Wadsworth
This network shows the impact of papers produced by Marc H. Wadsworth. 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 Marc H. Wadsworth. The network helps show where Marc H. Wadsworth may publish in the future.
Co-authorship network of co-authors of Marc H. Wadsworth
This figure shows the co-authorship network connecting the top 25 collaborators of Marc H. Wadsworth. A scholar is included among the top collaborators of Marc H. Wadsworth 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 Marc H. Wadsworth. Marc H. Wadsworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | Identification of a broadly fibrogenic macrophage subset induced by type 3 inflammationbreakdown → | 157 |
| 4 | 5 | |
| 5 | 79 | |
| 6 | Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell statesbreakdown → | 140 |
| 7 | 35 | |
| 8 | 47 | |
| 9 | 61 | |
| 10 | 150 | |
| 11 | 154 | |
| 12 | 26 | |
| 13 | Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunitybreakdown → | 613 |
| 14 | 1 | |
| 15 | 7 | |
| 16 | Allergic inflammatory memory in human respiratory epithelial progenitor cellsbreakdown → | 359 |
| 17 | 28 | |
| 18 | 5 | |
| 19 | Seq-Well: portable, low-cost RNA sequencing of single cells at high throughputbreakdown → | 593 |
| 20 | 1 |
About Marc H. Wadsworth
Marc H. Wadsworth is a scholar working on Immunology, Parasitology and Cancer Research, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Extracellular vesicles in disease (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology (824 citations), Cancer Research (474 citations) and Hematology (341 citations). Marc H. Wadsworth has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alex K. Shalek, Travis K. Hughes, Todd M. Gierahn, J. Christopher Love, Bryan D. Bryson, Sarah M. Fortune, Rahul Satija, Andrew Butler, Jason Stephansky and Julia A. Verga. Their work appears in journals such as Nature, Cell 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.