Christopher Vollmers

8.6k total citations · 3 hit papers
51 papers, 5.3k citations indexed

About

Christopher Vollmers is a scholar working on Molecular Biology, Immunology and Endocrine and Autonomic Systems. According to data from OpenAlex, Christopher Vollmers has authored 51 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Immunology and 11 papers in Endocrine and Autonomic Systems. Recurrent topics in Christopher Vollmers's work include Circadian rhythm and melatonin (11 papers), Genomics and Phylogenetic Studies (10 papers) and T-cell and B-cell Immunology (8 papers). Christopher Vollmers is often cited by papers focused on Circadian rhythm and melatonin (11 papers), Genomics and Phylogenetic Studies (10 papers) and T-cell and B-cell Immunology (8 papers). Christopher Vollmers collaborates with scholars based in United States, Germany and Canada. Christopher Vollmers's co-authors include Satchidananda Panda, Luciano DiTacchio, Shubhroz Gill, Megumi Hatori, Hiep D. Le, Amandine Chaix, Mathias Leblanc, Matthew S. Joens, James A. J. Fitzpatrick and Mark H. Ellisman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Christopher Vollmers

49 papers receiving 5.2k 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.

Time-Restricted Feeding without Reducing Caloric Intake Prevents Metabolic Diseases in Mice Fed a High-Fat Diet

2012 1.5k citations Megumi Hatori, Christopher Vollmers et al. Cell Metabolism profile →
Time of feeding and the intrinsic circadian clock drive rhythms in hepatic gene expression

2009 583 citations Christopher Vollmers, Luciano DiTacchio et al. Proceedings of the National Academy of Sciences profile →
Harmonics of Circadian Gene Transcription in Mammals

2009 518 citations Luciano DiTacchio, Christopher Vollmers et al. PLoS Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Vollmers United States	28	2.5k	2.0k	1.9k	824	625	51	5.3k
Nicholas S. Foulkes Germany	48	2.9k 1.1×	1.1k 0.5×	3.5k 1.8×	868 1.1×	590 0.9×	121	8.9k
Dik van Leenen Netherlands	29	962 0.4×	642 0.3×	2.2k 1.1×	618 0.8×	281 0.4×	45	4.1k
Yuichi Iino Japan	39	1.5k 0.6×	521 0.3×	2.4k 1.2×	339 0.4×	2.2k 3.5×	256	6.0k
Monica Driscoll United States	56	2.0k 0.8×	2.3k 1.1×	5.6k 2.9×	606 0.7×	5.1k 8.1×	140	10.8k
Isaac Edery United States	46	3.6k 1.4×	515 0.3×	3.1k 1.6×	2.8k 3.4×	785 1.3×	70	7.4k
James H. Thomas United States	56	2.3k 0.9×	1.3k 0.6×	6.2k 3.3×	1.2k 1.5×	5.2k 8.4×	133	11.3k
Ronald Ellis United States	29	562 0.2×	444 0.2×	3.5k 1.9×	449 0.5×	2.1k 3.3×	49	6.1k
Tim Schedl United States	48	1.0k 0.4×	470 0.2×	4.3k 2.3×	585 0.7×	4.0k 6.4×	95	7.4k
Ravi S. Kamath United States	24	2.1k 0.8×	2.1k 1.0×	8.2k 4.3×	924 1.1×	8.5k 13.6×	32	13.4k
Rodolfo Costa Italy	37	2.0k 0.8×	357 0.2×	1.1k 0.6×	1.1k 1.3×	438 0.7×	148	4.6k

Countries citing papers authored by Christopher Vollmers

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Vollmers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Vollmers. 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 Christopher Vollmers. The network helps show where Christopher Vollmers may publish in the future.

Co-authorship network of co-authors of Christopher Vollmers

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Vollmers. A scholar is included among the top collaborators of Christopher Vollmers 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 Christopher Vollmers. Christopher Vollmers 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

Saferali, Aabida, Zhonghui Xu, Tao Liu, et al.. (2025). Characterisation of a COPD-associated nephronectin (NPNT) functional splicing genetic variant in human lung tissuevialong-read sequencing. European Respiratory Journal. 65(4). 2401407–2401407. 1 indexed citations

Corbett‐Detig, Russell, et al.. (2024). R2C2 + UMI: Combining concatemeric and unique molecular identifier–based consensus sequencing enables ultra-accurate sequencing of amplicons on Oxford Nanopore Technologies sequencers. PNAS Nexus. 3(9). pgae336–pgae336. 5 indexed citations

Volden, Roger, et al.. (2023). Identifying and quantifying isoforms from accurate full-length transcriptome sequencing reads with Mandalorion. Genome biology. 24(1). 167–167. 16 indexed citations

Laidre, Kristin L., Megan A. Supple, Erik W. Born, et al.. (2022). Glacial ice supports a distinct and undocumented polar bear subpopulation persisting in late 21st-century sea-ice conditions. Science. 376(6599). 1333–1338. 35 indexed citations

Zee, Alexander, Matthew S. Adams, Russell Corbett‐Detig, et al.. (2022). Sequencing Illumina libraries at high accuracy on the ONT MinION using R2C2. Genome Research. 32(11-12). 2092–2106. 9 indexed citations

Volden, Roger & Christopher Vollmers. (2022). Single-cell isoform analysis in human immune cells. Genome biology. 23(1). 47–47. 28 indexed citations

Mekonen, Honey, et al.. (2021). Generation of an isoform-level transcriptome atlas of macrophage activation. Journal of Biological Chemistry. 296. 100784–100784. 18 indexed citations

Adams, Matthew S., Jakob McBroome, Nicholas Maurer, et al.. (2020). One fly–one genome: chromosome-scale genome assembly of a single outbred Drosophila melanogaster. Nucleic Acids Research. 48(13). e75–e75. 19 indexed citations

Russell, Shelbi L., Jesper Svedberg, Ashley Byrne, et al.. (2020). Horizontal transmission and recombination maintain forever young bacterial symbiont genomes. PLoS Genetics. 16(8). e1008935–e1008935. 32 indexed citations

10.

Covarrubias, Sergio, Allyson Capili, Michael Boettcher, et al.. (2020). High-Throughput CRISPR Screening Identifies Genes Involved in Macrophage Viability and Inflammatory Pathways. Cell Reports. 33(13). 108541–108541. 33 indexed citations

11.

Meyer, Lena, Tomás López, Rafaela Espinosa, et al.. (2019). A simplified workflow for monoclonal antibody sequencing. PLoS ONE. 14(6). e0218717–e0218717. 44 indexed citations

12.

Cole, Charles N., Ashley Byrne, Anna E. Beaudin, E. Camilla Forsberg, & Christopher Vollmers. (2018). Tn5Prime, a Tn5 based 5′ capture method for single cell RNA-seq. Nucleic Acids Research. 46(10). e62–e62. 32 indexed citations

13.

Nichols, Ruth V., Christopher Vollmers, Lee A. Newsom, et al.. (2018). Minimizing polymerase biases in metabarcoding. Molecular Ecology Resources. 18(5). 927–939. 162 indexed citations

14.

O’Rourke, Sara M., Bin Yu, Javier F. Morales, et al.. (2018). Production of a recombinant monoclonal antibody to Herpes Simplex Virus glycoprotein D for immunoaffinity purification of tagged proteins. Journal of Immunological Methods. 465. 31–38. 5 indexed citations

15.

Angel, Cesar J. Lopez, et al.. (2017). Phylogenetic analysis of the human antibody repertoire reveals quantitative signatures of immune senescence and aging. Proceedings of the National Academy of Sciences. 114(5). 1105–1110. 83 indexed citations

16.

Byrne, Ashley, Anna E. Beaudin, Hugh E. Olsen, et al.. (2017). Nanopore long-read RNAseq reveals widespread transcriptional variation among the surface receptors of individual B cells. Nature Communications. 8(1). 16027–16027. 248 indexed citations

17.

Plikus, Maksim V., Christopher Vollmers, Amandine Chaix, et al.. (2013). Local circadian clock gates cell cycle progression of transient amplifying cells during regenerative hair cycling. Proceedings of the National Academy of Sciences. 110(23). E2106–15. 117 indexed citations

18.

Vollmers, Christopher, Robert J. Schmitz, Jason L. Nathanson, et al.. (2012). Circadian Oscillations of Protein-Coding and Regulatory RNAs in a Highly Dynamic Mammalian Liver Epigenome. Cell Metabolism. 16(6). 833–845. 194 indexed citations

19.

Hatori, Megumi, Hiep D. Le, Christopher Vollmers, et al.. (2008). Inducible Ablation of Melanopsin-Expressing Retinal Ganglion Cells Reveals Their Central Role in Non-Image Forming Visual Responses. PLoS ONE. 3(6). e2451–e2451. 227 indexed citations

20.

Vollmers, Christopher, Satchidananda Panda, & Luciano DiTacchio. (2008). A High-Throughput Assay for siRNA-Based Circadian Screens in Human U2OS Cells. PLoS ONE. 3(10). e3457–e3457. 36 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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