Travis S. Johnson

2.0k total citations · 1 hit paper
52 papers, 1.3k citations indexed

About

Travis S. Johnson is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Travis S. Johnson has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Travis S. Johnson's work include Single-cell and spatial transcriptomics (15 papers), Bioinformatics and Genomic Networks (7 papers) and Multiple Myeloma Research and Treatments (6 papers). Travis S. Johnson is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), Bioinformatics and Genomic Networks (7 papers) and Multiple Myeloma Research and Treatments (6 papers). Travis S. Johnson collaborates with scholars based in United States, China and Austria. Travis S. Johnson's co-authors include Kun Huang, Kai Yang, Jie Zhang, Chengxian Xu, Rong Qi, Shaogang Sun, Siyuan Zhang, Jie Zhang, T. Brotherton and Bryan R. Helm and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Travis S. Johnson

45 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

The glutathione peroxidase Gpx4 prevents lipid peroxidation and ferroptosis to sustain Treg cell activation and suppression of antitumor immunity

2021 378 citations Chengxian Xu, Shaogang Sun et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Travis S. Johnson United States	16	723	381	352	195	167	52	1.3k
Leena Latonen Finland	24	1.7k 2.4×	690 1.8×	432 1.2×	530 2.7×	129 0.8×	70	2.5k
Keara Lane United States	15	950 1.3×	396 1.0×	259 0.7×	255 1.3×	62 0.4×	17	1.5k
Olivier Poirion United States	13	1.1k 1.6×	488 1.3×	222 0.6×	177 0.9×	210 1.3×	22	1.7k
Johann M. Kraus Germany	21	734 1.0×	173 0.5×	86 0.2×	278 1.4×	56 0.3×	55	1.5k
Marc Aubry France	22	866 1.2×	412 1.1×	150 0.4×	187 1.0×	38 0.2×	50	1.5k
Chandandeep Nagi United States	22	766 1.1×	544 1.4×	205 0.6×	517 2.7×	112 0.7×	52	2.1k
Sijia Huang United States	14	981 1.4×	368 1.0×	145 0.4×	84 0.4×	79 0.5×	27	1.4k
Yong Wan China	30	1.7k 2.4×	636 1.7×	180 0.5×	439 2.3×	101 0.6×	74	2.6k
Konstantinos Sidiropoulos United Kingdom	9	650 0.9×	163 0.4×	115 0.3×	135 0.7×	69 0.4×	23	1.2k

Countries citing papers authored by Travis S. Johnson

Since Specialization

Citations

This map shows the geographic impact of Travis S. Johnson'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 S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis S. Johnson more than expected).

Fields of papers citing papers by Travis S. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis S. Johnson. 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 S. Johnson. The network helps show where Travis S. Johnson may publish in the future.

Co-authorship network of co-authors of Travis S. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Travis S. Johnson. A scholar is included among the top collaborators of Travis S. Johnson 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 S. Johnson. Travis S. Johnson 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

Liu, Yunlong, et al.. (2025). Multiple Myeloma Insights from Single-Cell Analysis: Clonal Evolution, the Microenvironment, Therapy Evasion, and Clinical Implications. Cancers. 17(4). 653–653. 2 indexed citations

Patel, Deep, et al.. (2023). Regulatory T cells targeting a pathogenic MHC class II: Insulin peptide epitope postpone spontaneous autoimmune diabetes. Frontiers in Immunology. 14. 1207108–1207108. 20 indexed citations

Lin, Li, et al.. (2023). Disease-associated astrocytes and microglia markers are upregulated in mice fed high fat diet. Scientific Reports. 13(1). 12919–12919. 20 indexed citations

Liu, Yusong, Tongxin Wang, Kun Huang, et al.. (2022). SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression. Briefings in Bioinformatics. 23(3). 15 indexed citations

Liu, Ziyu, Travis S. Johnson, Wei Shao, et al.. (2022). Optimal transport- and kernel-based early detection of mild cognitive impairment patients based on magnetic resonance and positron emission tomography images. Alzheimer s Research & Therapy. 14(1). 4–4. 4 indexed citations

Johnson, Travis S., et al.. (2022). AIscEA: unsupervised integration of single-cell gene expression and chromatin accessibility via their biological consistency. Bioinformatics. 38(23). 5236–5244. 1 indexed citations

Johnson, Travis S., Christina Y. Yu, Zhi Huang, et al.. (2022). Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease. Genome Medicine. 14(1). 11–11. 24 indexed citations

Johnson, Travis S., et al.. (2021). DOP09 Mirikizumab-induced transcriptome changes in patient biopsies at Week 12 are maintained through Week 52 in patients with Ulcerative Colitis. Journal of Crohn s and Colitis. 15(Supplement_1). S047–S048. 5 indexed citations

Xu, Chengxian, Shaogang Sun, Travis S. Johnson, et al.. (2021). The glutathione peroxidase Gpx4 prevents lipid peroxidation and ferroptosis to sustain Treg cell activation and suppression of antitumor immunity. Cell Reports. 35(11). 109235–109235. 378 indexed citations breakdown →

10.

Johnson, Travis S., Shunian Xiang, Tianhan Dong, et al.. (2021). Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s Disease. Scientific Reports. 11(1). 353–353. 11 indexed citations

11.

Johnson, Travis S., Shunian Xiang, Bryan R. Helm, et al.. (2020). Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing. PMC.

12.

Johnson, Travis S., et al.. (2020). Pseudogene-gene functional networks are prognostic of patient survival in breast cancer. BMC Medical Genomics. 13(S5). 51–51. 7 indexed citations

13.

Johnson, Travis S., Tongxin Wang, Zhi Huang, et al.. (2019). LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection. Bioinformatics. 35(22). 4696–4706. 31 indexed citations

14.

Wang, Tongxin, Travis S. Johnson, Jie Zhang, & Kun Huang. (2019). Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data. Europe PMC (PubMed Central). 1 indexed citations

15.

Huang, Zhi, Xiaohui Zhan, Shunian Xiang, et al.. (2019). SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer. PMC. 4 indexed citations

16.

Abrams, Zachary B., Travis S. Johnson, Kun Huang, Philip Payne, & Kevin R. Coombes. (2019). A protocol to evaluate RNA sequencing normalization methods. PMC. 2 indexed citations

17.

Han, Zhi, Travis S. Johnson, Jie Zhang, Xuan Zhang, & Kun Huang. (2017). Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression Patterns. BioMed Research International. 2017. 1–9. 6 indexed citations

18.

Johnson, Travis S.. (2016). Estimation of Neural Cell types in the Allen Human Brain Atlas using Murine-derived Expression Profiles. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations

19.

Macfarlane, David, Vernon K. Sondak, Travis S. Johnson, & Richard L. Wahl. (1998). Prospective evaluation of 2-[18F]-2-deoxy-D-glucose positron emission tomography in staging of regional lymph nodes in patients with cutaneous malignant melanoma.. Journal of Clinical Oncology. 16(5). 1770–1776. 79 indexed citations

20.

Pilgrim, David B., et al.. (1995). The C. elegans sex-determining gene fem-2 encodes a putative protein phosphatase.. Molecular Biology of the Cell. 6(9). 1159–1171. 64 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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