Travis K. Hughes

7.9k total citations · 3 hit papers
21 papers, 2.3k citations indexed

About

Travis K. Hughes is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Travis K. Hughes has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Infectious Diseases. Recurrent topics in Travis K. Hughes's work include Single-cell and spatial transcriptomics (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Mycobacterium research and diagnosis (4 papers). Travis K. Hughes is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Systemic Lupus Erythematosus Research (5 papers) and Mycobacterium research and diagnosis (4 papers). Travis K. Hughes collaborates with scholars based in United States, Türkiye and Germany. Travis K. Hughes's co-authors include Alex K. Shalek, Marc H. Wadsworth, Bryan D. Bryson, Sarah M. Fortune, Andrew Butler, J. Christopher Love, Rahul Satija, Todd M. Gierahn, Amr H. Sawalha and Timothy A. Graubert and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Travis K. Hughes

19 papers receiving 2.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity

2019 613 citations Peter van Galen, Volker Hovestadt et al. Cell profile →
Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput

2017 593 citations Todd M. Gierahn, Marc H. Wadsworth et al. Nature Methods profile →
Allergic inflammatory memory in human respiratory epithelial progenitor cells

2018 359 citations José Ordovás-Montañés, Daniel F. Dwyer et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Travis K. Hughes United States	14	1.1k	800	408	387	317	21	2.3k
Naoko Seki Japan	23	690 0.6×	986 1.2×	162 0.4×	223 0.6×	125 0.4×	43	1.9k
Gisela Orozco United Kingdom	31	764 0.7×	1.3k 1.6×	248 0.6×	239 0.6×	858 2.7×	75	2.6k
William C. Manning United States	22	1.3k 1.2×	451 0.6×	684 1.7×	283 0.7×	116 0.4×	27	3.0k
Alasdair R. Fraser United Kingdom	25	617 0.6×	1.2k 1.5×	198 0.5×	381 1.0×	278 0.9×	47	2.4k
Xiang Xiao United States	30	418 0.4×	1.7k 2.1×	94 0.2×	216 0.6×	127 0.4×	74	2.6k
Talat H. Malik United Kingdom	23	440 0.4×	1.4k 1.8×	402 1.0×	72 0.2×	145 0.5×	40	2.0k
Melvin Churchill United States	12	346 0.3×	521 0.7×	569 1.4×	468 1.2×	889 2.8×	21	2.1k
Elisha Roberson United States	17	1.4k 1.2×	838 1.0×	107 0.3×	282 0.7×	122 0.4×	29	2.8k
Naoshi Sugimoto Japan	19	633 0.6×	1.2k 1.5×	223 0.5×	89 0.2×	175 0.6×	48	2.0k
Kenneth J. Katschke United States	22	506 0.5×	1.3k 1.6×	230 0.6×	83 0.2×	396 1.2×	28	2.3k

Countries citing papers authored by Travis K. Hughes

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Peters, Joshua M., Edward B. Irvine, Jacob M. Rosenberg, et al.. (2025). High-dose intravenous BCG vaccination induces enhanced immune signaling in the airways. Science Advances. 11(1). eadq8229–eadq8229. 4 indexed citations

Hughes, Travis K., Marc H. Wadsworth, Mercedes Balcells, et al.. (2023). Single-Cell RNA Sequencing Reveals That Adaptation of Human Aortic Endothelial Cells to Antiproliferative Therapies Is Modulated by Flow-Induced Shear Stress. Arteriosclerosis Thrombosis and Vascular Biology. 43(12). 2265–2281. 5 indexed citations

Rosenberg, Jacob M., Joshua M. Peters, Travis K. Hughes, et al.. (2022). JAK inhibition in a patient with a STAT1 gain-of-function variant reveals STAT1 dysregulation as a common feature of aplastic anemia. Med. 3(1). 42–57.e5. 17 indexed citations

Mâncio-Silva, Liliana, Nil Gural, Eliana Real, et al.. (2022). A single-cell liver atlas of Plasmodium vivax infection. Cell Host & Microbe. 30(7). 1048–1060.e5. 35 indexed citations

Jaiswal, Swati, Hannah P. Gideon, Travis K. Hughes, et al.. (2022). Reverse Immunology: An approach to identify Mtb antigens recognized by T cells. The Journal of Immunology. 208(Supplement_1). 102.18–102.18. 1 indexed citations

Ma, Feiyang, Travis K. Hughes, Rosane M. B. Teles, et al.. (2021). The cellular architecture of the antimicrobial response network in human leprosy granulomas. Nature Immunology. 22(7). 839–850. 61 indexed citations

Ocwieja, Karen E., Travis K. Hughes, Jenna M. Antonucci, et al.. (2021). #71: Single-cell RNA Sequencing Analysis of Zika Virus Infection in Human Stem Cell-Derived Neuroprogenitor Cells and Cerebral Organoids. Journal of the Pediatric Infectious Diseases Society. 10(Supplement_1). S14–S14. 1 indexed citations

Silva, Bruno Jorge de Andrade, Travis K. Hughes, Feiyang Ma, et al.. (2020). Single-cell RNA-sequencing of leprosy skin lesions reveals a titin (TTN) expressing T cell subset associated with the progressive disease. The Journal of Immunology. 204(1_Supplement). 225.36–225.36.

Rowe, R. Grant, George Q. Daley, Trista E. North, et al.. (2020). Mechanisms of Leukemia Stem Cell Plasticity Revealed By Single Cell Analysis. Blood. 136(Supplement 1). 32–32. 1 indexed citations

10.

Galen, Peter van, Volker Hovestadt, Marc H. Wadsworth, et al.. (2019). Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity. Cell. 176(6). 1265–1281.e24. 613 indexed citations breakdown →

11.

Gideon, Hannah P., et al.. (2019). Deciphering multicellular microenvironment of tuberculosis lung granulomas associated with bacterial control using high-throughput single-cell mRNA sequencing. The Journal of Immunology. 202(1_Supplement). 190.41–190.41. 1 indexed citations

12.

Ordovás-Montañés, José, Daniel F. Dwyer, Sarah K. Nyquist, et al.. (2018). Allergic inflammatory memory in human respiratory epithelial progenitor cells. Nature. 560(7720). 649–654. 359 indexed citations breakdown →

13.

Gierahn, Todd M., Marc H. Wadsworth, Travis K. Hughes, et al.. (2017). Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput. Nature Methods. 14(4). 395–398. 593 indexed citations breakdown →

14.

Saruhan‐Direskeneli, Güher, Travis K. Hughes, Vuslat Yılmaz, et al.. (2016). Genetic heterogeneity within the HLA region in three distinct clinical subgroups of myasthenia gravis. Clinical Immunology. 166-167. 81–88. 33 indexed citations

15.

Altorok, Nezam, Patrick Coit, Travis K. Hughes, et al.. (2013). Genome‐Wide DNA Methylation Patterns in Naive CD4+ T Cells From Patients With Primary Sjögren's Syndrome. Arthritis & Rheumatology. 66(3). 731–739. 128 indexed citations

16.

Hughes, Travis K., Patrick Coit, Adam Adler, et al.. (2013). Identification of multiple independent susceptibility loci in the HLA region in Behçet's disease. Nature Genetics. 45(3). 319–324. 100 indexed citations

17.

Sawalha, Amr H., Lu Wang, Ajay Nadig, et al.. (2012). Sex-specific differences in the relationship between genetic susceptibility, T cell DNA demethylation and lupus flare severity. Journal of Autoimmunity. 38(2-3). J216–J222. 51 indexed citations

18.

Hughes, Travis K. & Amr H. Sawalha. (2011). The role of epigenetic variation in the pathogenesis of systemic lupus erythematosus. Arthritis Research & Therapy. 13(5). 245–245. 32 indexed citations

19.

Sawalha, Amr H., Travis K. Hughes, Ajay Nadig, et al.. (2011). A putative functional variant within the UBAC2 gene is associated with increased risk of Behçet's disease. Arthritis & Rheumatism. 63(11). 3607–3612. 34 indexed citations

20.

Kelly, Jennifer A., Emily C. Somers, Travis K. Hughes, et al.. (2010). Early disease onset is predicted by a higher genetic risk for lupus and is associated with a more severe phenotype in lupus patients. Annals of the Rheumatic Diseases. 70(1). 151–156. 139 indexed citations

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.

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