Travis K. Hughes
- Molecular Biology top 10%
- Immunology top 5%
- Hematology top 2%
- Cancer Research top 5%
- Rheumatology top 5%
- Co-authors
- Alex K. ShalekMarc H. WadsworthBryan D. BrysonSarah M. FortuneRahul SatijaAndrew ButlerTodd M. GierahnJ. Christopher Love
- Topics
- Single-cell and spatial transcriptomics (5 papers)Systemic Lupus Erythematosus Research (5 papers)Mycobacterium research and diagnosis (4 papers)
- Cited by
- ImmunologyHematologyCancer Research
- Journals
- NatureCellNature Genetics
- Partner nations
- United StatesTürkiyeGermany
In The Last Decade
Travis K. Hughes
19 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.1k
- Immunology 800
- Hematology 408
- Cancer Research 387
- Rheumatology 317
Countries citing papers authored by Travis K. Hughes
This map shows the geographic impact of Travis K. Hughes'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 Travis K. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis K. Hughes more than expected).
Fields of papers citing papers by Travis K. Hughes
This network shows the impact of papers produced by Travis K. Hughes. 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 Travis K. Hughes. The network helps show where Travis K. Hughes may publish in the future.
Co-authorship network of co-authors of Travis K. Hughes
This figure shows the co-authorship network connecting the top 25 collaborators of Travis K. Hughes. A scholar is included among the top collaborators of Travis K. Hughes 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 Travis K. Hughes. Travis K. Hughes 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 | 5 | |
| 3 | 17 | |
| 4 | 35 | |
| 5 | 1 | |
| 6 | 61 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunitybreakdown → | 613 |
| 11 | 1 | |
| 12 | Allergic inflammatory memory in human respiratory epithelial progenitor cellsbreakdown → | 359 |
| 13 | Seq-Well: portable, low-cost RNA sequencing of single cells at high throughputbreakdown → | 593 |
| 14 | 33 | |
| 15 | 128 | |
| 16 | 100 | |
| 17 | 51 | |
| 18 | 32 | |
| 19 | 34 | |
| 20 | 139 |
About Travis K. Hughes
Travis K. Hughes is a scholar working on Immunology, Rheumatology and Ophthalmology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Immunology (800 citations), Hematology (408 citations) and Cancer Research (387 citations). Travis K. Hughes has collaborated with scholars based in United States, Türkiye and Germany. Frequent co-authors include Alex K. Shalek, Marc H. Wadsworth, Bryan D. Bryson, Sarah M. Fortune, Rahul Satija, Andrew Butler, Todd M. Gierahn, J. Christopher Love, Amr H. Sawalha and Jason Stephansky. Their work appears in journals such as Nature, Cell and Nature Genetics.
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.