Jan Wildenhain

5.9k total citations · 4 hit papers
24 papers, 3.7k citations indexed

About

Jan Wildenhain is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Jan Wildenhain has authored 24 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jan Wildenhain's work include Bioinformatics and Genomic Networks (7 papers), Microbial Natural Products and Biosynthesis (3 papers) and Computational Drug Discovery Methods (3 papers). Jan Wildenhain is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Microbial Natural Products and Biosynthesis (3 papers) and Computational Drug Discovery Methods (3 papers). Jan Wildenhain collaborates with scholars based in United Kingdom, Canada and United States. Jan Wildenhain's co-authors include Mike Tyers, Jarkko Ylanko, Megan Mendez, Shinichiro Nakada, Nadine K. Kolas, Laurence Pelletier, Daniel Durocher, Stephanie Panier, Corey Nislow and Guri Giaever and has published in prestigious journals such as Science, Cell and Bioinformatics.

In The Last Decade

Jan Wildenhain

23 papers receiving 3.7k 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.

The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes

2008 744 citations Jan Wildenhain, Mike Tyers et al. Science profile →
Orchestration of the DNA-Damage Response by the RNF8 Ubiquitin Ligase

2007 719 citations Nadine K. Kolas, J. Ross Chapman et al. Science profile →
The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damage

2009 599 citations Grant S. Stewart, Stephanie Panier et al. Cell profile →
Effects of Air Temperature on Climate-Sensitive Mortality and Morbidity Outcomes in the Elderly; a Systematic Review and Meta-analysis of Epidemiological Evidence

2016 426 citations Aditi Bunker, Jan Wildenhain et al. EBioMedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Wildenhain United Kingdom	18	2.5k	611	392	380	282	24	3.7k
Aleksey Porollo United States	30	1.9k 0.8×	179 0.3×	211 0.5×	208 0.5×	204 0.7×	73	3.3k
Valérie de Crécy‐Lagard United States	56	8.8k 3.5×	702 1.1×	136 0.3×	1.3k 3.3×	197 0.7×	193	10.7k
Carol Bernstein United States	35	2.4k 0.9×	1.3k 2.1×	87 0.2×	544 1.4×	158 0.6×	105	4.5k
David R. McIlwain United States	19	2.2k 0.9×	844 1.4×	82 0.2×	196 0.5×	262 0.9×	32	3.9k
Stefano Toppo Italy	34	2.5k 1.0×	157 0.3×	172 0.4×	174 0.5×	177 0.6×	101	4.5k
Ezra Burstein United States	39	2.5k 1.0×	820 1.3×	291 0.7×	483 1.3×	512 1.8×	88	4.9k
James I. MacRae United Kingdom	38	2.2k 0.9×	302 0.5×	158 0.4×	198 0.5×	231 0.8×	88	4.4k
Wen Zhang China	31	2.6k 1.0×	210 0.3×	118 0.3×	608 1.6×	59 0.2×	107	4.0k
Michael F. Christman United States	27	2.3k 0.9×	299 0.5×	104 0.3×	1.0k 2.7×	268 1.0×	52	3.8k

Countries citing papers authored by Jan Wildenhain

Since Specialization

Citations

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

Fields of papers citing papers by Jan Wildenhain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Wildenhain

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

Tollis, Sylvain, Nhan T. Pham, Yijing Zheng, et al.. (2023). Reduction in Nuclear Size by DHRS7 in Prostate Cancer Cells and by Estradiol Propionate in DHRS7-Depleted Cells. Cells. 13(1). 57–57.

Tollis, Sylvain, Nhan T. Pham, Steven Shave, et al.. (2022). Chemical Interrogation of Nuclear Size Identifies Compounds with Cancer Cell Line-Specific Effects on Migration and Invasion. ACS Chemical Biology. 17(3). 680–700. 16 indexed citations

Fishman, Dmytro, S Peel, Jan Wildenhain, et al.. (2021). Practical segmentation of nuclei in brightfield cell images with neural networks trained on fluorescently labelled samples. Journal of Microscopy. 284(1). 12–24. 10 indexed citations

OʼShea, Patrick, Jan Wildenhain, Chetana M. Revankar, et al.. (2020). A Novel Screening Approach for the Dissection of Cellular Regulatory Networks of NF-κB Using Arrayed CRISPR gRNA Libraries. SLAS DISCOVERY. 25(6). 618–633. 1 indexed citations

Bunker, Aditi, Jan Wildenhain, Nicholas Henschke, et al.. (2016). Effects of Air Temperature on Climate-Sensitive Mortality and Morbidity Outcomes in the Elderly; a Systematic Review and Meta-analysis of Epidemiological Evidence. EBioMedicine. 6. 258–268. 426 indexed citations breakdown →

Wildenhain, Jan, Michaela Spitzer, Sonam Dolma, et al.. (2016). Systematic chemical-genetic and chemical-chemical interaction datasets for prediction of compound synergism. Scientific Data. 3(1). 160095–160095. 12 indexed citations

Wildenhain, Jan, Michaela Spitzer, Sonam Dolma, et al.. (2015). Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning. Cell Systems. 1(6). 383–395. 85 indexed citations

Beard, Philippa M., Samantha J. Griffiths, Orland Gonzalez, et al.. (2014). A Loss of Function Analysis of Host Factors Influencing Vaccinia virus Replication by RNA Interference. PLoS ONE. 9(6). e98431–e98431. 27 indexed citations

Ben‐Ari, Giora, et al.. (2012). Characterizing the roles of Met31 and Met32 in coordinating Met4-activated transcription in the absence of Met30. Molecular Biology of the Cell. 23(10). 1928–1942. 24 indexed citations

10.

Ermakov, Alexander, Steve Pells, Jan Wildenhain, et al.. (2012). A role for intracellular calcium downstream of G-protein signaling in undifferentiated human embryonic stem cell culture. Stem Cell Research. 9(3). 171–184. 19 indexed citations

11.

Wildenhain, Jan, Nicholas FitzGerald, & Mike Tyers. (2012). MolClass: a web portal to interrogate diverse small molecule screen datasets with different computational models. Bioinformatics. 28(16). 2200–2201. 6 indexed citations

12.

Ejim, Linda, Maya A. Farha, Shannon B. Falconer, et al.. (2011). Combinations of antibiotics and nonantibiotic drugs enhance antimicrobial efficacy. Nature Chemical Biology. 7(6). 348–350. 423 indexed citations

13.

Winter, Andrew, Jan Wildenhain, & Mike Tyers. (2011). BioGRID REST Service, BiogridPlugin2 and BioGRID WebGraph: new tools for access to interaction data at BioGRID. Bioinformatics. 27(7). 1043–1044. 20 indexed citations

14.

Burns, Andrew R., Iain M. Wallace, Jan Wildenhain, et al.. (2010). A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans. Nature Chemical Biology. 6(7). 549–557. 141 indexed citations

15.

Ishizaki, Hironori, Michaela Spitzer, Jan Wildenhain, et al.. (2010). Combined zebrafish-yeast chemical-genetic screens reveal gene–copper-nutrition interactions that modulate melanocyte pigmentation. Disease Models & Mechanisms. 3(9-10). 639–651. 36 indexed citations

16.

Stewart, Grant S., Stephanie Panier, Kelly Townsend, et al.. (2009). The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damage. Cell. 136(3). 420–434. 599 indexed citations breakdown →

17.

Ericson, Elke, Marinella Gebbia, Lawrence E. Heisler, et al.. (2008). Off-Target Effects of Psychoactive Drugs Revealed by Genome-Wide Assays in Yeast. PLoS Genetics. 4(8). e1000151–e1000151. 74 indexed citations

18.

Diamandis, Phedias, Jan Wildenhain, Ian D. Clarke, et al.. (2007). Chemical genetics reveals a complex functional ground state of neural stem cells. Nature Chemical Biology. 3(5). 268–273. 121 indexed citations

19.

Kolas, Nadine K., J. Ross Chapman, Shinichiro Nakada, et al.. (2007). Orchestration of the DNA-Damage Response by the RNF8 Ubiquitin Ligase. Science. 318(5856). 1637–1640. 719 indexed citations breakdown →

20.

Wildenhain, Jan & Edmund J. Crampin. (2006). Reconstructing gene regulatory networks: from random to scale-free connectivity. PubMed. 153(4). 247–247. 20 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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