Benjamin T. James

2.9k total citations · 2 hit papers
13 papers, 830 citations indexed

About

Benjamin T. James is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Benjamin T. James has authored 13 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Neurology and 1 paper in Genetics. Recurrent topics in Benjamin T. James's work include Genomics and Phylogenetic Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). Benjamin T. James is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). Benjamin T. James collaborates with scholars based in United States, Canada and China. Benjamin T. James's co-authors include Manolis Kellis, Carles A. Boix, Yongjin Park, Hani Z. Girgis, Wouter Meuleman, Li‐Huei Tsai, Kyriaki Galani, David A. Bennett, Na Sun and Xushen Xiong and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Benjamin T. James

12 papers receiving 825 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.

Human microglial state dynamics in Alzheimer’s disease progression

2023 162 citations Na Sun, Matheus B. Victor et al. Cell profile →
Single-cell multiregion dissection of Alzheimer’s disease

2024 83 citations Hansruedi Mathys, Carles A. Boix 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
Benjamin T. James United States	11	573	167	129	120	64	13	830
Jahnvi Pflueger Australia	13	813 1.4×	316 1.9×	120 0.9×	240 2.0×	87 1.4×	17	1.2k
Colleen A. Mangold United States	13	414 0.7×	169 1.0×	124 1.0×	156 1.3×	154 2.4×	18	897
Dulce B. Vargas-Landín Australia	4	440 0.8×	315 1.9×	44 0.3×	230 1.9×	75 1.2×	6	718
Meeta Mistry United States	16	777 1.4×	89 0.5×	302 2.3×	97 0.8×	89 1.4×	26	1.3k
Alicia Mansilla Spain	12	583 1.0×	84 0.5×	71 0.6×	175 1.5×	137 2.1×	20	1.0k
Vishnu Dileep United States	15	891 1.6×	83 0.5×	140 1.1×	104 0.9×	36 0.6×	20	1.0k
Tim Hutchin United Kingdom	19	887 1.5×	213 1.3×	117 0.9×	136 1.1×	82 1.3×	26	1.4k
Peter M. Douglas United States	17	986 1.7×	88 0.5×	69 0.5×	330 2.8×	153 2.4×	28	1.5k
Anne Chiaramello United States	20	798 1.4×	55 0.3×	302 2.3×	137 1.1×	155 2.4×	41	1.1k
Inge Wefes United States	11	1.4k 2.4×	126 0.8×	237 1.8×	209 1.7×	108 1.7×	12	1.7k

Countries citing papers authored by Benjamin T. James

Since Specialization

Citations

This map shows the geographic impact of Benjamin T. James'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 Benjamin T. James with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin T. James more than expected).

Fields of papers citing papers by Benjamin T. James

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin T. James. 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 Benjamin T. James. The network helps show where Benjamin T. James may publish in the future.

Co-authorship network of co-authors of Benjamin T. James

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin T. James. A scholar is included among the top collaborators of Benjamin T. James 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 Benjamin T. James. Benjamin T. James is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Bubnys, Adele, Emre Agbas, Benjamin T. James, et al.. (2025). Engineered 3D immuno-glial-neurovascular human miBrain model. Proceedings of the National Academy of Sciences. 122(42). e2511596122–e2511596122.

Kim, TaeHyun, Benjamin T. James, Martin C. Kahn, et al.. (2024). Gamma entrainment using audiovisual stimuli alleviates chemobrain pathology and cognitive impairment induced by chemotherapy in mice. Science Translational Medicine. 16(737). eadf4601–eadf4601. 15 indexed citations

Mathys, Hansruedi, Carles A. Boix, Leyla Anne Akay, et al.. (2024). Single-cell multiregion dissection of Alzheimer’s disease. Nature. 632(8026). 858–868. 83 indexed citations breakdown →

Hou, Lei, Xushen Xiong, Yongjin Park, et al.. (2023). Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease. Nature Genetics. 55(10). 1665–1676. 11 indexed citations

Xiong, Xushen, Benjamin T. James, Carles A. Boix, et al.. (2023). Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion. Cell. 186(20). 4422–4437.e21. 68 indexed citations

Sun, Na, Matheus B. Victor, Yongjin Park, et al.. (2023). Human microglial state dynamics in Alzheimer’s disease progression. Cell. 186(20). 4386–4403.e29. 162 indexed citations breakdown →

Boix, Carles A., Benjamin T. James, Yongjin Park, Wouter Meuleman, & Manolis Kellis. (2021). Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature. 590(7845). 300–307. 183 indexed citations

Girgis, Hani Z., et al.. (2021). Identity : rapid alignment-free prediction of sequence alignment identity scores using self-supervised general linear models. NAR Genomics and Bioinformatics. 3(1). lqab001–lqab001. 12 indexed citations

Velasco, Alfredo, et al.. (2019). Look4TRs: a de novo tool for detecting simple tandem repeats using self-supervised hidden Markov models. Bioinformatics. 36(2). 380–387. 10 indexed citations

10.

Zieleziński, Andrzej, Hani Z. Girgis, Guillaume Bernard, et al.. (2019). Benchmarking of alignment-free sequence comparison methods. Genome biology. 20(1). 144–144. 123 indexed citations

11.

James, Benjamin T., et al.. (2018). MeShClust: an intelligent tool for clustering DNA sequences. Nucleic Acids Research. 46(14). e83–e83. 50 indexed citations

12.

James, Benjamin T., et al.. (2017). A survey and evaluations of histogram-based statistics in alignment-free sequence comparison. Briefings in Bioinformatics. 20(4). 1222–1237. 30 indexed citations

13.

Stephens, Sarah H., Judith Logel, A.J.L. Barton, et al.. (2009). Association of the 5′-upstream regulatory region of the α7 nicotinic acetylcholine receptor subunit gene (CHRNA7) with schizophrenia. Schizophrenia Research. 109(1-3). 102–112. 83 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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