Jacob M. Luber

4.4k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Jacob M. Luber is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Jacob M. Luber has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Jacob M. Luber's work include Gut microbiota and health (5 papers), AI in cancer detection (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jacob M. Luber is often cited by papers focused on Gut microbiota and health (5 papers), AI in cancer detection (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jacob M. Luber collaborates with scholars based in United States, Canada and Denmark. Jacob M. Luber's co-authors include Aleksandar D. Kostic, Braden Tierney, Marsha C. Wibowo, Zhen Yang, Renee Wurth, Angela Tung, Sarah J. Lessard, Mohammad W. Hattab, Clary B. Clish and Jonathan Scheiman and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Bioinformatics.

In The Last Decade

Jacob M. Luber

16 papers receiving 1.4k 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.

Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism

2019 579 citations Jonathan Scheiman, Jacob M. Luber et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob M. Luber United States	6	1.0k	399	153	152	143	20	1.4k
Wangjun Wu China	23	1.1k 1.1×	262 0.7×	89 0.6×	52 0.3×	273 1.9×	77	1.8k
Mae J. Ciancio United States	17	948 0.9×	402 1.0×	97 0.6×	42 0.3×	178 1.2×	40	1.6k
Prashant K. Nighot United States	29	1.1k 1.1×	264 0.7×	78 0.5×	76 0.5×	271 1.9×	54	2.6k
Theodore H. Elsasser United States	29	637 0.6×	246 0.6×	75 0.5×	59 0.4×	412 2.9×	96	2.7k
Jeffery Escobar United States	19	537 0.5×	288 0.7×	469 3.1×	60 0.4×	183 1.3×	27	1.4k
Michael T. Rose United Kingdom	21	388 0.4×	221 0.6×	59 0.4×	47 0.3×	210 1.5×	83	1.3k
Brian W. Parks United States	23	1.4k 1.4×	608 1.5×	57 0.4×	132 0.9×	293 2.0×	40	2.3k
Xianhong Gu China	24	372 0.4×	287 0.7×	52 0.3×	89 0.6×	106 0.7×	46	1.6k
Fushan Shi China	22	1.4k 1.4×	174 0.4×	41 0.3×	83 0.5×	157 1.1×	63	2.2k
Youfang Cao United States	17	1.2k 1.2×	394 1.0×	65 0.4×	320 2.1×	177 1.2×	55	1.9k

Countries citing papers authored by Jacob M. Luber

Since Specialization

Citations

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

Fields of papers citing papers by Jacob M. Luber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob M. Luber. 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 Jacob M. Luber. The network helps show where Jacob M. Luber may publish in the future.

Co-authorship network of co-authors of Jacob M. Luber

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Darden, Carly M., et al.. (2025). Wavelength-Dependent Calcium Signaling Response to Photobiomodulation in Pancreatic Cells. Photonics. 12(2). 99–99. 1 indexed citations

Islam, Md Zohorul, Anders Lindahl, Jon A. Weidanz, et al.. (2025). Single-cell RNA-seq reveals disease-specific CD8+ T cell clonal expansion and a high frequency of transcriptionally distinct double-negative T cells in diabetic NOD mice. PLoS ONE. 20(3). e0317987–e0317987.

Pauken, Kristen E., Vikram R. Juneja, Kelly P. Burke, et al.. (2025). PD-1 regulates tumor-infiltrating CD8+ T cells in both a cell-intrinsic and a cell-extrinsic fashion. The Journal of Experimental Medicine. 222(10). 1 indexed citations

Huber, Manfred, et al.. (2024). Histopathology Slide Indexing and Search — Are We There Yet?. NEJM AI. 1(5). 1 indexed citations

Jaworski, Justyn, et al.. (2024). Peptide Sequencing Via Protein Language Models. 1–8. 1 indexed citations

Luber, Jacob M., et al.. (2024). scRNA-seq Reveals Novel Genetic Pathways and Sex Chromosome Regulation in Tribolium Spermatogenesis. Genome Biology and Evolution. 16(3). 4 indexed citations

Luber, Jacob M., et al.. (2024). BetaBuddy: An automated end-to-end computer vision pipeline for analysis of calcium fluorescence dynamics in β-cells. PLoS ONE. 19(3). e0299549–e0299549. 2 indexed citations

Ding, Yi, et al.. (2024). Generalizability of PGS313 for breast cancer risk in a Los Angeles biobank. Human Genetics and Genomics Advances. 5(3). 100302–100302. 1 indexed citations

Nilizadeh, Shirin, et al.. (2024). Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging. 1–5. 2 indexed citations

10.

Huber, Manfred, et al.. (2023). Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides Through Variational Autoencoder based Image Compression. 1–5.

11.

Das, Avishek, et al.. (2023). Comparison of the Strengths and Weaknesses of Machine Learning Algorithms and Feature Selection on KEGG Database Microbial Gene Pathway Annotation and Its Effects on Reconstructed Network Topology. Journal of Computational Biology. 30(7). 766–782.

12.

Huber, Manfred, Jon A. Weidanz, Bríd M. Ryan, et al.. (2023). A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. 1–8. 3 indexed citations

13.

Tierney, Braden, et al.. (2020). A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. PLoS Computational Biology. 16(5). e1007895–e1007895. 15 indexed citations

14.

Tierney, Braden, Zhen Yang, Jacob M. Luber, et al.. (2019). The Landscape of Genetic Content in the Gut and Oral Human Microbiome. Cell Host & Microbe. 26(2). 283–295.e8. 218 indexed citations

15.

Scheiman, Jonathan, Jacob M. Luber, Theodore A. Chavkin, et al.. (2019). Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism. Nature Medicine. 25(7). 1104–1109. 579 indexed citations breakdown →

16.

Tierney, Braden, Zhen Yang, Jacob M. Luber, et al.. (2019). The Landscape of Genetic Content in the Human Microbiome. SSRN Electronic Journal.

17.

Kerpedjiev, Peter, Nezar Abdennur, Fritz Lekschas, et al.. (2018). HiGlass: web-based visual exploration and analysis of genome interaction maps. Genome biology. 19(1). 125–125. 292 indexed citations

18.

Luber, Jacob M., Braden Tierney, Evan M. Cofer, Chirag J. Patel, & Aleksandar D. Kostic. (2017). Aether: leveraging linear programming for optimal cloud computing in genomics. Bioinformatics. 34(9). 1565–1567. 4 indexed citations

19.

Fang, Chao, Huanzi Zhong, Yuxiang Lin, et al.. (2017). Assessment of the cPAS-based BGISEQ-500 platform for metagenomic sequencing. GigaScience. 7(3). 1–8. 300 indexed citations

20.

Jannin, Pierre, et al.. (1997). <title>Visual matching between real and virtual images in image-guided neurosurgery</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3031. 518–526. 7 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.

Explore authors with similar magnitude of impact