Jan Daniel Rudolph

1.1k total citations
10 papers, 649 citations indexed

About

Jan Daniel Rudolph is a scholar working on Molecular Biology, Spectroscopy and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jan Daniel Rudolph has authored 10 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Jan Daniel Rudolph's work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (4 papers) and Bioinformatics and Genomic Networks (3 papers). Jan Daniel Rudolph is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (4 papers) and Bioinformatics and Genomic Networks (3 papers). Jan Daniel Rudolph collaborates with scholars based in Germany, Norway and United States. Jan Daniel Rudolph's co-authors include Jürgen Cox, Pavel Sinitcyn, María S. Robles, Franziska Brüning, Shiva K. Tyagarajan, Matthias Mann, Tanja Bange, Sara B. Noya, Steven A. Brown and Tamar Geiger and has published in prestigious journals such as Science, Nature Biotechnology and Journal of Proteome Research.

In The Last Decade

Jan Daniel Rudolph

10 papers receiving 647 citations

Peers

Jan Daniel Rudolph

MB

SPECT

EAS

CN

CMN

Yasunori Sugiyama Japan

Pim W. Toonen Netherlands

Michael Pisano United States

Rutger O. Vogel Netherlands

Esthelle Hoedt United States

Benoît Lectez Spain

J. Lautermann Germany

Toke P. Krogager Denmark

Aaron S. Nudelman United States

Cord-Michael Becker Germany

Yasunori Sugiyama Japan

Jan Daniel Rudolph

398 ×1.1

MB

38 ×0.1

SPECT

78 ×0.8

EAS

26 ×0.3

CN

62 ×0.8

CMN

Citations per year, relative to Jan Daniel Rudolph Jan Daniel Rudolph (= 1×) peers Yasunori Sugiyama

Countries citing papers authored by Jan Daniel Rudolph

Since Specialization

Citations

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

Fields of papers citing papers by Jan Daniel Rudolph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Daniel Rudolph

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

10 of 10 papers shown

1.

Sinitcyn, Pavel, Hamid Hamzeiy, Daniel N. Itzhak, et al.. (2021). MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nature Biotechnology. 39(12). 1563–1573. 156 indexed citations

2.

Yu, Sung‐Huan, et al.. (2020). Expanding the Perseus Software for Omics Data Analysis With Custom Plugins. Current Protocols in Bioinformatics. 71(1). e105–e105. 25 indexed citations

3.

Brüning, Franziska, Sara B. Noya, Tanja Bange, et al.. (2019). Sleep-wake cycles drive daily dynamics of synaptic phosphorylation. Science. 366(6462). 170 indexed citations

4.

Rudolph, Jan Daniel & Jürgen Cox. (2019). A Network Module for the Perseus Software for Computational Proteomics Facilitates Proteome Interaction Graph Analysis. Journal of Proteome Research. 18(5). 2052–2064. 64 indexed citations

5.

Rudolph, Jan Daniel. (2019). Development and application of software and algorithms for network approaches to proteomics data analysis. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München). 1 indexed citations

6.

Sinitcyn, Pavel, Jan Daniel Rudolph, & Jürgen Cox. (2018). Computational Methods for Understanding Mass Spectrometry–Based Shotgun Proteomics Data. 1(1). 207–234. 88 indexed citations

7.

Huber, Armin, Jan Daniel Rudolph, Maria Berndt, et al.. (2018). 4D-Flow MRI: Technique and Applications. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 190(11). 1025–1035. 27 indexed citations

8.

Pozniak, Yair, Nora Balint‐Lahat, Jan Daniel Rudolph, et al.. (2016). System-wide Clinical Proteomics of Breast Cancer Reveals Global Remodeling of Tissue Homeostasis. Cell Systems. 2(3). 172–184. 62 indexed citations

9.

Rudolph, Jan Daniel, Marjo de Graauw, Bob van de Water, Tamar Geiger, & Roded Sharan. (2016). Elucidation of Signaling Pathways from Large-Scale Phosphoproteomic Data Using Protein Interaction Networks. Cell Systems. 3(6). 585–593.e3. 46 indexed citations

10.

Rudolph, Jan Daniel, et al.. (1996). A family of halobacterial transducer proteins. FEMS Microbiology Letters. 139(2-3). 161–168. 10 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