Jan Krumsiek

12.5k total citations · 1 hit paper
112 papers, 5.1k citations indexed

About

Jan Krumsiek is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Jan Krumsiek has authored 112 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 24 papers in Physiology and 15 papers in Genetics. Recurrent topics in Jan Krumsiek's work include Metabolomics and Mass Spectrometry Studies (53 papers), Bioinformatics and Genomic Networks (28 papers) and Diet and metabolism studies (12 papers). Jan Krumsiek is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (53 papers), Bioinformatics and Genomic Networks (28 papers) and Diet and metabolism studies (12 papers). Jan Krumsiek collaborates with scholars based in Germany, United States and Qatar. Jan Krumsiek's co-authors include Fabian J. Theis, Thomas Rattei, Roland Arnold, Karsten Suhre, Jerzy Adamski, Gabi Kastenmüller, Thomas Illig, Jörg Bartel, Christian Gieger and Annette Peters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jan Krumsiek

107 papers receiving 5.0k 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.

Gepard: a rapid and sensitive tool for creating dotplots on genome scale

2007 511 citations Jan Krumsiek et al. Bioinformatics profile →

Peers

Jan Krumsiek

PHYSI

GENET

EPIDE

Jun Liu China

Óscar Yanes Spain

Guowen Liu China

Laura L. Elo Finland

Anne M. Evans United States

Olivier Cloarec United Kingdom

Aleksandra A. Kolodziejczyk United Kingdom

Yan Ni China

Michael J. James Australia

Ivor J. Benjamin United States

Jun Liu China

Jan Krumsiek

3.5k ×1.1

1.3k ×1.4

PHYSI

519 ×0.7

GENET

508 ×1.0

EPIDE

266 ×0.6

Citations per year, relative to Jan Krumsiek Jan Krumsiek (= 1×) peers Jun Liu

Countries citing papers authored by Jan Krumsiek

Since Specialization

Citations

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

Fields of papers citing papers by Jan Krumsiek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Krumsiek

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

Batra, Richa, et al.. (2024). AutoFocus: a hierarchical framework to explore multi-omic disease associations spanning multiple scales of biomolecular interaction. Communications Biology. 7(1). 1094–1094. 1 indexed citations

Sanidad, Katherine Z., Aparna Ananthanarayanan, Tingting Li, et al.. (2024). Gut bacteria–derived serotonin promotes immune tolerance in early life. Science Immunology. 9(93). eadj4775–eadj4775. 43 indexed citations

Batra, Richa, Oleh M. Akchurin, Sergio Alvarez-Mulett, et al.. (2023). Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS. Molecular Medicine. 29(1). 13–13. 12 indexed citations

Benedetti, Elisa, Thomas R. Flynn, Christopher E. Barbieri, et al.. (2023). Plasma metabolomics profiling of 580 patients from an Early Detection Research Network prostate cancer cohort. Scientific Data. 10(1). 830–830. 4 indexed citations

Benedetti, Elisa, Eric Minwei Liu, Cerise Tang, et al.. (2023). A multimodal atlas of tumour metabolism reveals the architecture of gene–metabolite covariation. Nature Metabolism. 5(6). 1029–1044. 27 indexed citations

Putzel, Gregory, Xi Kathy Zhou, Hanhan Wang, et al.. (2022). Microbes Contribute to Chemopreventive Efficacy, Intestinal Tumorigenesis, and the Metabolome. Cancer Prevention Research. 15(12). 803–814. 5 indexed citations

Wittenbecher, Clemens, Rafael R. C. Cuadrat, Fabian Eichelmann, et al.. (2022). Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology. Nature Communications. 13(1). 936–936. 33 indexed citations

Büyüközkan, Mustafa, Karsten Suhre, & Jan Krumsiek. (2021). SGI: automatic clinical subgroup identification in omics datasets. Bioinformatics. 38(2). 573–576. 1 indexed citations

Calvo-Vidal, M. Nieves, Nahuel Zamponi, Jan Krumsiek, et al.. (2021). Oncogenic HSP90 Facilitates Metabolic Alterations in Aggressive B-cell Lymphomas. Cancer Research. 81(20). 5202–5216. 19 indexed citations

10.

Marullo, Rossella, M. Castro, Shira Yomtoubian, et al.. (2021). The metabolic adaptation evoked by arginine enhances the effect of radiation in brain metastases. Science Advances. 7(45). eabg1964–eabg1964. 34 indexed citations

11.

Tritschler, Sophie, Michael Sterr, Julia Hinterdobler, et al.. (2021). Diet-induced alteration of intestinal stem cell function underlies obesity and prediabetes in mice. Nature Metabolism. 3(9). 1202–1216. 77 indexed citations

12.

Zacharias, Helena U., Johannes Hertel, Hamimatunnisa Johar, et al.. (2021). A metabolome-wide association study in the general population reveals decreased levels of serum laurylcarnitine in people with depression. Molecular Psychiatry. 26(12). 7372–7383. 30 indexed citations

13.

Benedetti, Elisa, Maja Pučić‐Baković, Toma Keser, et al.. (2020). Systematic Evaluation of Normalization Methods for Glycomics Data Based on Performance of Network Inference. Metabolites. 10(7). 271–271. 15 indexed citations

14.

Budde, Kathrin, Gabi Kastenmüller, Uwe Völker, et al.. (2020). Associations between adipose tissue volume and small molecules in plasma and urine among asymptomatic subjects from the general population. Scientific Reports. 10(1). 1487–1487. 7 indexed citations

15.

Benedetti, Elisa, Maja Pučić‐Baković, Toma Keser, et al.. (2020). A strategy to incorporate prior knowledge into correlation network cutoff selection. Nature Communications. 11(1). 5153–5153. 17 indexed citations

16.

Thorand, Barbara, Astrid Zierer, Mustafa Büyüközkan, et al.. (2020). A Panel of 6 Biomarkers Significantly Improves the Prediction of Type 2 Diabetes in the MONICA/KORA Study Population. The Journal of Clinical Endocrinology & Metabolism. 106(4). 1647–1659. 12 indexed citations

17.

Chu, Su H., Mengna Huang, Rachel S. Kelly, et al.. (2019). Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective. Metabolites. 9(6). 117–117. 57 indexed citations

18.

Trinh, Kieu, et al.. (2018). MoDentify : phenotype-driven module identification in metabolomics networks at different resolutions. Bioinformatics. 35(3). 532–534. 13 indexed citations

19.

Herder, Christian, Julia M. Kannenberg, Maren Carstensen‐Kirberg, et al.. (2018). A Systemic Inflammatory Signature Reflecting Cross Talk Between Innate and Adaptive Immunity Is Associated With Incident Polyneuropathy: KORA F4/FF4 Study. Diabetes. 67(11). 2434–2442. 43 indexed citations

20.

Castro, Cecilia, Jan Krumsiek, Nicolas J. Lehrbach, et al.. (2013). A study of Caenorhabditis elegans DAF-2 mutants by metabolomics and differential correlation networks. Molecular BioSystems. 9(7). 1632–1642. 35 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