Daniel Ziemek

4.6k citations

34 papers · 1.2k indexed · h-index 18

Impact in

Health Informatics top 2%
Health Information Management top 5%

Papers in

Rheumatology 8
- Rheumatoid Arthritis Research and Therapies 7
- Systemic Lupus Erythematosus Research 3
Hepatology 3
- Hepatitis C virus research 3

Co-authors: Ben S. Sidders Ahmed Enayetallah Kourosh Zarringhalam Mateusz Maciejewski Leonid Chindelevitch Ranjit Randhawa Enoch S. Huang Marloes H. Maathuis
Journals: Scientific Reports (4 papers)BMC Bioinformatics (4 papers)Bioinformatics (4 papers)PLoS ONE (3 papers)Human Molecular Genetics (2 papers)
Partner nations: United States Germany United Kingdom

In The Last Decade

Daniel Ziemek

34 papers receiving 1.2k citations

Peers

Countries citing papers authored by Daniel Ziemek

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ziemek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Ziemek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Ziemek Line = papers co-authored together Daniel Ziemek links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	The influence of HLA genetic variation on plasma protein expression Nature Communications ·Chirag Krishna, Joshua Chiou, Saori Sakaue, Joyce B. Kang, Stephen M. Christensen, Isac Lee, Melis A. Aksit, Hye In Kim, David von Schack, Soumya Raychaudhuri, Daniel Ziemek, Xinli Hu	2024	3
2	Molecular signature of methotrexate response among rheumatoid arthritis patients Frontiers in Medicine ·Boel Brynedal, Niyaz Yoosuf, Dra. Laura Díaz Rubia, Daniel Ziemek, Mateusz Maciejewski, Lasse Folkersen, Helga Westerlind, Malin Müller, Peter Sahlström, Scott A. Jelinsky, Aase Hensvold, Leonid Padyukov, Grzegorz Sobiecki, Anca I. Catrina, Lars Klareskog, Louise Berg	2023	5
3	Early prediction of clinical response to anti-TNF treatment using multi-omics and machine learning in rheumatoid arthritis Lara D. Veeken ·Niyaz Yoosuf, Mateusz Maciejewski, Daniel Ziemek, Scott A. Jelinsky, Lasse Folkersen, Malin Müller, Peter Sahlström, Nancy Vivar, Anca I. Catrina, Louise Berg, Lars Klareskog, Leonid Padyukov, Boel Brynedal	2021	39
4	Prediction of response of methotrexate in patients with rheumatoid arthritis using serum lipidomics Scientific Reports ·Mateusz Maciejewski, Caroline Sands, Nisha Nair, Stephanie F Ling, Suzanne Verstappen, Kimme L Hyrich, Anne Barton, Daniel Ziemek, Matthew R. Lewis, Darren Plant	2021	29
5	Identification of novel pheno-groups in heart failure with preserved ejection fraction using machine learning Heart ·Åsa K. Hedman, Camilla Hage, Anil Kumar Sharma, M. Julia Brosnan, Leonard Buckbinder, Li‐Ming Gan, Sanjiv J. Shah, Cecilia Linde, Erwan Donal, Jean‐Claude Daubert, Anders Mälarstig, Daniel Ziemek, Lars H. Lund	2020	92
6	Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data BMC Bioinformatics ·(unknown), Jonathan R. Walsh, John M. Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, jurnalmap map, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher	2020	47
7	SUBSTRA: Supervised Bayesian Patient Stratification Bioinformatics ·一彦下村, R. Hadjeb, Bruno M. Grande, Ryan D. Morin, Martin Ester, Daniel Ziemek	2019	4
8	018 Gene expression profiling identifies classifier of methotrexate non-response in patients with rheumatoid arthritis Lara D. Veeken ·Darren Plant, Mateusz Maciejewski, Samantha Smith, Nisha Nair, Kimme L Hyrich, Daniel Ziemek, Anne Barton, Suzanne Verstappen	2019	2
9	ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci Nucleic Acids Research ·David Stacey, Eric B. Fauman, Daniel Ziemek, Benjamin B. Sun, Eric L. Harshfield, Angela Wood, Adam S. Butterworth, Karsten Suhre, Dirk S. Paul	2018	57
10	Robust phenotype prediction from gene expression data using differential shrinkage of co-regulated genes Scientific Reports ·Kourosh Zarringhalam, David Degras, Naiara Pérez, Daniel Ziemek	2018	15
11	From hype to reality: data science enabling personalized medicine BMC Medicine ·Holger Fröhlich, Rudi Balling, Niko Beerenwinkel, Oliver Kohlbacher, Santosh Kumar, Thomas Lengauer, Marloes H. Maathuis, Yves Moreau, Susan A. Murphy, Teresa M. Przytycka, Michael Rebhan, Hannes Röst, Andreas Schuppert, Matthias Schwab, Rainer Spang, Daniel J. Stekhoven, Jimeng Sun, Andreas Weber⋆, Daniel Ziemek, Blaž Zupan	2018	261
12	A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data BMC Bioinformatics ·İlayda ULAŞ, Wei Ding, Luoyan Zhang, Daniel Ziemek, Kourosh Zarringhalam	2017	26
13	From the Cover: Fenretinide, Troglitazone, and Elmiron Add to Weight of Evidence Support for Hemangiosarcoma Mode-of-Action From Studies in Mice Toxicological Sciences ·Jon C. Cook, Leslie Obert, Petra Koza‐Taylor, Timothy Coskran, Alan Opsahl, Daniel Ziemek, Marc D. Roy, Siguan Marisa, Michael Lawton, Kay A. Criswell	2017	4
14	Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks BMC Bioinformatics ·Ramiro Bazáez, Shimosato Takeshi, Alex Gutteridge, Ben S. Sidders, Ping Chen, Daniel Ziemek, Kourosh Zarringhalam	2016	26
15	Brown Fat Determination and Development from Muscle Precursor Cells by Novel Action of Bone Morphogenetic Protein 6 PLoS ONE ·Ankur Sharma, Christine Huard, Cécile Vernochet, Daniel Ziemek, Abdulwahab Neyazi, Edyta Tyminski, Theresa Paradis, Ying Zhang, Jessica Jones, David von Schack, E. Thomas, Patrice M. Milos, Anthony J. Coyle, Frédéric Tremblay, Robert V. Martinez	2014	37
16	Novel Pancreatic Endocrine Maturation Pathways Identified by Genomic Profiling and Causal Reasoning PLoS ONE ·Alex Gutteridge, J. Michael Rukstalis, Daniel Ziemek, Lukas Hartjen, Lin Ji, Fe I. Garcia, Nancy A. Nardone, Lisa Norquay, Martin Brenner, Kim San Tang, John D. McNeish, Rebecca K. Rowntree	2013	12
17	HDAC inhibitors attenuate the development of hypersensitivity in models of neuropathic pain Pain ·Franziska Denk, Wenlong Huang, Ben S. Sidders, Angela Bithell, Megan Crow, John Grist, Simone Sharma, Daniel Ziemek, Andrew S.C. Rice, Noel J. Buckley, Stephen B. McMahon	2013	133
18	Causal reasoning on biological networks: interpreting transcriptional changes Bioinformatics ·Leonid Chindelevitch, Daniel Ziemek, Ahmed Enayetallah, Ranjit Randhawa, Ben S. Sidders, Naiara Pérez, Enoch S. Huang	2012	104
19	Assessing statistical significance in causal graphs SHILAP Revista de lepidopterología ·Leonid Chindelevitch, Po‐Ru Loh, Ahmed Enayetallah, Bonnie Berger, Daniel Ziemek	2012	8
20	Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge BMC Bioinformatics ·Chia‐Ling Huang, John R. Lamb, Leonid Chindelevitch, Alem Atsbeha, Justin Guinney, Charles DeLisi, Daniel Ziemek	2012	6

About Daniel Ziemek

Daniel Ziemek is a scholar working on Rheumatology, Hepatology, Genetics, Molecular Biology and Biochemistry, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Gene expression and cancer classification (7 papers), Gene Regulatory Network Analysis (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Computational Drug Discovery Methods (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Health Informatics (55 citations), Health Information Management (46 citations), Rheumatology (144 citations), Molecular Biology (498 citations) and Internal Medicine (26 citations). Daniel Ziemek has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ben S. Sidders, Ahmed Enayetallah, Kourosh Zarringhalam, Mateusz Maciejewski, Leonid Chindelevitch, Ranjit Randhawa, Enoch S. Huang, Marloes H. Maathuis, Thomas Lengauer and Rudi Balling. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, Bioinformatics, PLoS ONE and Human Molecular Genetics.

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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