Johannes Helmuth

799 total citations
11 papers, 469 citations indexed

About

Johannes Helmuth is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Johannes Helmuth has authored 11 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Johannes Helmuth's work include Hair Growth and Disorders (2 papers), Dermatology and Skin Diseases (2 papers) and Immune Cell Function and Interaction (2 papers). Johannes Helmuth is often cited by papers focused on Hair Growth and Disorders (2 papers), Dermatology and Skin Diseases (2 papers) and Immune Cell Function and Interaction (2 papers). Johannes Helmuth collaborates with scholars based in Germany, United States and Poland. Johannes Helmuth's co-authors include Martin Vingron, Bernd Timmermann, Stefan A. Haas, Guiling Liu, Peng Zhang, Fenhong Hu, Alisdair R. Fernie, Heiner Kuhl, Weijuan Fan and Hongxia Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Johannes Helmuth

11 papers receiving 465 citations

Peers

Johannes Helmuth

GENET

HORTI

Muzna Zahur Pakistan

Marie Nyman Finland

Dan Du China

Yuzhe Sun China

Dong Guo China

Bin Han China

Ainhoa Genovés Spain

Guotai Yu United States

Junyan Feng China

Muzna Zahur Pakistan

Johannes Helmuth

202 ×0.7

205 ×0.9

17 ×0.3

GENET

2 ×0.1

HORTI

7 ×0.4

Citations per year, relative to Johannes Helmuth Johannes Helmuth (= 1×) peers Muzna Zahur

Countries citing papers authored by Johannes Helmuth

Since Specialization

Citations

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

Fields of papers citing papers by Johannes Helmuth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Helmuth

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

All Works

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11 of 11 papers shown

Meyer, Tim, Mariana Schürmann, Harald Bias, et al.. (2022). Mycobacterium tuberculosis-specific CD4 T-cell scoring discriminates tuberculosis infection from disease. European Respiratory Journal. 60(1). 2101780–2101780. 5 indexed citations

Harms, Dominik, Bo Wang, Mira Choi, et al.. (2022). Advanced sequencing approaches detected insertions of viral and human origin in the viral genome of chronic hepatitis E virus patients. Scientific Reports. 12(1). 1720–1720. 15 indexed citations

Schwarzer, Rolf, Johannes Helmuth, Sabrina Hadam, et al.. (2021). Identification of anti-microbial peptides and traces of microbial DNA in infrainfundibular compartments of human scalp terminal hair follicles. European Journal of Dermatology. 31(1). 22–31. 10 indexed citations

Tomazou, Marios, Anastasis Oulas, Varvara Kanti, et al.. (2021). Dysbiosis and Enhanced Beta-Defensin Production in Hair Follicles of Patients with Lichen Planopilaris and Frontal Fibrosing Alopecia. Biomedicines. 9(3). 266–266. 12 indexed citations

Bertram, Lars, Johannes Helmuth, Claudia Mischung, et al.. (2020). Mutation spectrum and polygenic score in German patients with familial hypercholesterolemia. Clinical Genetics. 98(5). 457–467. 11 indexed citations

Menzel, Peter, et al.. (2020). Draft Genome Sequence of Mycobacteroides sp. Strain LB1, Isolated from the Sputum of a Cystic Fibrosis Patient. Microbiology Resource Announcements. 9(47). 1 indexed citations

Paliou, Christina, Philine Guckelberger, Robert Schöpflin, et al.. (2019). Preformed chromatin topology assists transcriptional robustness of Shh during limb development. Proceedings of the National Academy of Sciences. 116(25). 12390–12399. 122 indexed citations

Woodsmith, Jonathan, Federico Apelt, Jean−Fred Fontaine, et al.. (2017). Defining Human Tyrosine Kinase Phosphorylation Networks Using Yeast as an In Vivo Model Substrate. Cell Systems. 5(2). 128–139.e4. 11 indexed citations

Yang, Jun, M-Hossein Moeinzadeh, Heiner Kuhl, et al.. (2017). Haplotype-resolved sweet potato genome traces back its hexaploidization history. Nature Plants. 3(9). 696–703. 227 indexed citations

10.

Bhat, Jaydeep, Johannes Helmuth, Guranda Chitadze, et al.. (2017). Stochastics of Cellular Differentiation Explained by Epigenetics: The Case of T‐Cell Differentiation and Functional Plasticity. Scandinavian Journal of Immunology. 86(4). 184–195. 5 indexed citations

11.

Kinkley, Sarah, Johannes Helmuth, Julia K. Polansky, et al.. (2016). reChIP-seq reveals widespread bivalency of H3K4me3 and H3K27me3 in CD4+ memory T cells. Nature Communications. 7(1). 12514–12514. 50 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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