Carl Vitzthum

956 total citations · 1 hit paper
6 papers, 422 citations indexed

About

Carl Vitzthum is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Carl Vitzthum has authored 6 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Carl Vitzthum's work include Gene expression and cancer classification (3 papers), Algorithms and Data Compression (1 paper) and Single-cell and spatial transcriptomics (1 paper). Carl Vitzthum is often cited by papers focused on Gene expression and cancer classification (3 papers), Algorithms and Data Compression (1 paper) and Single-cell and spatial transcriptomics (1 paper). Carl Vitzthum collaborates with scholars based in United States. Carl Vitzthum's co-authors include Peter J. Park, Maxwell A. Sherman, Alison R. Barton, Michael E. Coulter, Christopher A. Walsh, Michael A. Lodato, Rachel E. Rodin, Min‐Seok Kwon, Chandri Yandava and Nicole E. Hatem and has published in prestigious journals such as Science, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Carl Vitzthum

5 papers receiving 419 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.

Aging and neurodegeneration are associated with increased mutations in single human neurons

2017 389 citations Michael A. Lodato, Rachel E. Rodin et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carl Vitzthum United States	4	301	135	105	46	36	6	422
Rachel E. Rodin United States	8	403 1.3×	194 1.4×	173 1.6×	53 1.2×	42 1.2×	8	562
Craig L. Bohrson United States	8	550 1.8×	274 2.0×	173 1.6×	107 2.3×	43 1.2×	8	721
Jill E. Moore United States	11	670 2.2×	72 0.5×	131 1.2×	31 0.7×	17 0.5×	23	826
Eunjung Alice Lee United States	11	288 1.0×	91 0.7×	105 1.0×	42 0.9×	36 1.0×	31	461
Thomas Wegleiter Switzerland	6	334 1.1×	99 0.7×	33 0.3×	61 1.3×	35 1.0×	6	467
Yvonne Rijksen Netherlands	6	337 1.1×	42 0.3×	58 0.6×	71 1.5×	32 0.9×	11	499
Rossana Foti Italy	9	455 1.5×	29 0.2×	48 0.5×	45 1.0×	22 0.6×	10	525
Mathieu Daynac France	14	377 1.3×	84 0.6×	37 0.4×	38 0.8×	105 2.9×	18	619
Vicente A. Yépez Germany	11	396 1.3×	69 0.5×	227 2.2×	29 0.6×	14 0.4×	22	562

Countries citing papers authored by Carl Vitzthum

Since Specialization

Citations

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

Fields of papers citing papers by Carl Vitzthum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Vitzthum

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

All Works

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6 of 6 papers shown

1.

Lee, Soohyun, et al.. (2021). Pairs and Pairix: a file format and a tool for efficient storage and retrieval for Hi-C read pairs. Bioinformatics. 38(6). 1729–1731. 18 indexed citations

2.

Lee, Soohyun, et al.. (2019). Tibanna: software for scalable execution of portable pipelines on the cloud. Bioinformatics. 35(21). 4424–4426. 5 indexed citations

3.

Lodato, Michael A., Rachel E. Rodin, Craig L. Bohrson, et al.. (2017). Aging and neurodegeneration are associated with increased mutations in single human neurons. Science. 359(6375). 555–559. 389 indexed citations breakdown →

4.

Sherman, Maxwell A., Alison R. Barton, Michael A. Lodato, et al.. (2017). PaSD-qc: quality control for single cell whole-genome sequencing data using power spectral density estimation. Nucleic Acids Research. 46(4). e20–e20. 8 indexed citations

5.

Vitzthum, Carl, et al.. (2016). Developmental expression of Kv1 voltage-gated potassium channels in the avian hypothalamus. Neuroscience Letters. 616. 182–188. 2 indexed citations

6.

Griffin, Jacob B., et al.. (2015). Exposure to the lampricide 3-trifluoromethyl-4-nitrophenol results in increased expression of carbohydrate transporters inSaccharomyces cerevisiae. Environmental Toxicology and Chemistry. 35(7). 1727–1732.

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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