Daniel P. Zolg

4.8k total citations · 2 hit papers
15 papers, 1.7k citations indexed

About

Daniel P. Zolg is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Daniel P. Zolg has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in Daniel P. Zolg's work include Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Daniel P. Zolg is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Daniel P. Zolg collaborates with scholars based in Germany, United States and Canada. Daniel P. Zolg's co-authors include Bernhard Küster, Mathias Wilhelm, Karsten Schnatbaum, Tobias Schmidt, Jana Zecha, Ulf Reimer, Chen Meng, Patroklos Samaras, Tobias Knaute and Johannes Zerweck and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Daniel P. Zolg

15 papers receiving 1.7k 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.

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

2019 519 citations Siegfried Gessulat, Tobias Schmidt et al. Nature Methods profile →
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues

2019 449 citations Dongxue Wang, Basak Eraslan et al. Molecular Systems Biology profile →

Peers

Countries citing papers authored by Daniel P. Zolg

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Zolg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Zolg

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Zolg. A scholar is included among the top collaborators of Daniel P. Zolg 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 Daniel P. Zolg. Daniel P. Zolg 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:

15 of 15 papers shown

#	Work	Indexed citations
1	A Scalable, Web-Based Platform for Proteomics Data Processing, Result Storage and Analysis 2025 ·Journal of Proteome Research ·Markus Schneider, Daniel P. Zolg, Patroklos Samaras, (unknown), (unknown), (unknown), Alexander Hogrebe, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Siegfried Gessulat, (unknown), (unknown), Martin Frejno	1
2	Unifying the analysis of bottom-up proteomics data with CHIMERYS 2025 ·Nature Methods ·Martin Frejno, (unknown), Johanna Tüshaus, Alexander Hogrebe, (unknown), (unknown), Patroklos Samaras, (unknown), (unknown), (unknown), (unknown), (unknown), Markus Schneider, Siegfried Gessulat, Tobias Schmidt, Bernhard Küster, Daniel P. Zolg, Mathias Wilhelm	9
3	Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides 2022 ·Analytical Chemistry ·(unknown), Matthew The, Daniel P. Zolg, Florian Bayer, (unknown), Ludwig Lautenbacher, Karsten Schnatbaum, Johannes Zerweck, Tobias Knaute, Bernard Delanghe, Andreas F. R. Hühmer, Holger Wenschuh, Ulf Reimer, Guillaume Médard, Bernhard Küster, Mathias Wilhelm	19
4	Chemical Phosphoproteomics Sheds New Light on the Targets and Modes of Action of AKT Inhibitors 2021 ·ACS Chemical Biology ·Svenja Wiechmann, Benjamin Ruprecht, (unknown), Runsheng Zheng, Martin Frejno, Elena Kunold, Thomas Bajaj, Daniel P. Zolg, Stephan A. Sieber, Nils C. Gassen, Bernhard Küster	25
5	INFERYS rescoring: Boosting peptide identifications and scoring confidence of database search results 2021 ·Rapid Communications in Mass Spectrometry ·Daniel P. Zolg, Siegfried Gessulat, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Daniel López‐Ferrer, David M. Horn, (unknown), Andreas F. R. Hühmer, Bernard Delanghe, Martin Frejno	51
6	Discovery of suppressors of CRMP2 phosphorylation reveals compounds that mimic the behavioral effects of lithium on amphetamine-induced hyperlocomotion 2020 ·Translational Psychiatry ·Wen‐Ning Zhao, Brian T. D. Tobe, Namrata D. Udeshi, (unknown), (unknown), Daniel P. Zolg, Amanda J. Roberts, (unknown), Sarah R. Blumenthal, Iren Kurtser, Debasis Patnaik, Irina N. Gaisina, Joshua A. Bishop, Steven D. Sheridan, Jasmin Lalonde, Steven A. Carr, Evan Y. Snyder, Stephen J. Haggarty	9
7	Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS 2020 ·Nature Communications ·Yangyang Bian, Runsheng Zheng, Florian Bayer, Cassandra J. Wong, Yun-Chien Chang, Chen Meng, Daniel P. Zolg, Maria Reinecke, Jana Zecha, Svenja Wiechmann, Stephanie Heinzlmeir, Johannes Scherr, Bernhard Hemmer, Mike Baynham, Anne‐Claude Gingras, Alexander Boychenko, Bernhard Küster	238
8	Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning breakdown → 2019 ·Nature Methods ·Siegfried Gessulat, Tobias Schmidt, Daniel P. Zolg, Patroklos Samaras, Karsten Schnatbaum, Johannes Zerweck, Tobias Knaute, Julia Rechenberger, Bernard Delanghe, Andreas Hühmer, Ulf Reimer, (unknown), Stephan Aiche, Bernhard Küster, Mathias Wilhelm	519
9	A deep proteome and transcriptome abundance atlas of 29 healthy human tissues breakdown → 2019 ·Molecular Systems Biology ·Dongxue Wang, Basak Eraslan, Thomas Wieland, Björn M. Hallström, Thomas A. Hopf, Daniel P. Zolg, Jana Zecha, Anna Asplund, Lihua Li, Chen Meng, Martin Frejno, Tobias Schmidt, Karsten Schnatbaum, Mathias Wilhelm, Fredrik Pontén, Mathias Uhlén, Julien Gagneur, Hannes Hahne, Bernhard Küster	449
10	Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics 2018 ·Molecular & Cellular Proteomics ·Jana Zecha, Chen Meng, Daniel P. Zolg, Patroklos Samaras, Mathias Wilhelm, Bernhard Küster	83
11	ProteomeTools: Systematic Characterization of 21 Post-translational Protein Modifications by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) Using Synthetic Peptides 2018 ·Molecular & Cellular Proteomics ·Daniel P. Zolg, Mathias Wilhelm, Tobias Schmidt, Guillaume Médard, Johannes Zerweck, Tobias Knaute, Holger Wenschuh, Ulf Reimer, Karsten Schnatbaum, Bernhard Küster	75
12	Mining the Human Tissue Proteome for Protein Citrullination 2018 ·Molecular & Cellular Proteomics ·Chien‐Yun Lee, Dongxue Wang, Mathias Wilhelm, Daniel P. Zolg, Tobias Schmidt, Karsten Schnatbaum, Ulf Reimer, Fredrik Pontén, Mathias Uhlén, Hannes Hahne, Bernhard Küster	90
13	Trimodal Mixed Mode Chromatography That Enables Efficient Offline Two-Dimensional Peptide Fractionation for Proteome Analysis 2017 ·Analytical Chemistry ·Peng Yu, Svenja Wiechmann, Mathias Wilhelm, Daniel P. Zolg, Runsheng Zheng, Xuefei Sun, Xiaodong Liu, Günter Schneider, Andreas F. R. Hühmer, Bernhard Küster	17
14	High pH Reversed-Phase Micro-Columns for Simple, Sensitive, and Efficient Fractionation of Proteome and (TMT labeled) Phosphoproteome Digests 2017 ·Methods in molecular biology ·Benjamin Ruprecht, Jana Zecha, Daniel P. Zolg, Bernhard Küster	36
15	PROCAL: A Set of 40 Peptide Standards for Retention Time Indexing, Column Performance Monitoring, and Collision Energy Calibration 2017 ·PROTEOMICS ·Daniel P. Zolg, Mathias Wilhelm, Peng Yu, Tobias Knaute, Johannes Zerweck, Holger Wenschuh, Ulf Reimer, Karsten Schnatbaum, Bernhard Küster	48

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