Jan Großbach

463 total citations
8 papers, 205 citations indexed

About

Jan Großbach is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Großbach has authored 8 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Jan Großbach's work include Advanced Proteomics Techniques and Applications (2 papers), Fungal and yeast genetics research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Jan Großbach is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Fungal and yeast genetics research (2 papers) and Bioinformatics and Genomic Networks (2 papers). Jan Großbach collaborates with scholars based in Germany, Switzerland and United Kingdom. Jan Großbach's co-authors include Andreas Beyer, Paola Picotti, Ludovic Gillet, Natalie de Souza, Valentina Cappelletti, Paul J. Boersema, Thomas Häuser, Ilaria Piazza, Liliana Malinovska and Yaozong Li and has published in prestigious journals such as Cell, Nature Communications and Nature Structural & Molecular Biology.

In The Last Decade

Jan Großbach

8 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Großbach Germany	7	146	60	19	15	13	8	205
Moriya Slavin Israel	5	138 0.9×	40 0.7×	35 1.8×	7 0.5×	5 0.4×	7	196
Edward N. Schmidt Canada	7	148 1.0×	19 0.3×	24 1.3×	20 1.3×	6 0.5×	17	187
Ashley M. Frankenfield United States	4	86 0.6×	35 0.6×	41 2.2×	16 1.1×	9 0.7×	6	155
Angelique Florentinus-Mefailoski Canada	9	114 0.8×	76 1.3×	5 0.3×	18 1.2×	4 0.3×	13	155
Irina Dynin United States	10	316 2.2×	23 0.4×	11 0.6×	46 3.1×	10 0.8×	13	356
Kyle Mohler United States	11	370 2.5×	26 0.4×	23 1.2×	11 0.7×	14 1.1×	19	431
Greg Taylor United States	5	247 1.7×	143 2.4×	19 1.0×	33 2.2×	17 1.3×	6	344
Michał Krassowski United Kingdom	4	220 1.5×	30 0.5×	7 0.4×	12 0.8×	5 0.4×	5	293
Arthur Viodé United States	9	83 0.6×	82 1.4×	6 0.3×	50 3.3×	28 2.2×	13	188
Shane A. Chandler United Kingdom	6	148 1.0×	49 0.8×	30 1.6×	16 1.1×	2 0.2×	11	212

Countries citing papers authored by Jan Großbach

Since Specialization

Citations

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

Fields of papers citing papers by Jan Großbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Großbach

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

All Works

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8 of 8 papers shown

1.

Großbach, Jan, et al.. (2025). Analysis of Limited Proteolysis-Coupled Mass Spectrometry Data. Molecular & Cellular Proteomics. 24(4). 100934–100934. 3 indexed citations

2.

Großbach, Jan, Mathieu Clément‐Ziza, Ludovic Gillet, et al.. (2023). Genetic effects on molecular network states explain complex traits. Molecular Systems Biology. 19(8). e11493–e11493. 13 indexed citations

3.

Kreer, Christoph, Meryem S. Ercanoglu, Lutz Gieselmann, et al.. (2023). Probabilities of developing HIV-1 bNAb sequence features in uninfected and chronically infected individuals. Nature Communications. 14(1). 7137–7137. 7 indexed citations

4.

Mackmull, Marie‐Therese, Fabian Sesterhenn, Jan Muntel, et al.. (2022). Global, in situ analysis of the structural proteome in individuals with Parkinson’s disease to identify a new class of biomarker. Nature Structural & Molecular Biology. 29(10). 978–989. 29 indexed citations

5.

Kraus, Sebastian, et al.. (2022). External Stresses Affect Gonococcal Type 4 Pilus Dynamics. Frontiers in Microbiology. 13. 839711–839711. 7 indexed citations

6.

Großbach, Jan, Ludovic Gillet, Mathieu Clément‐Ziza, et al.. (2022). The impact of genomic variation on protein phosphorylation states and regulatory networks. Molecular Systems Biology. 18(5). e10712–e10712. 16 indexed citations

7.

Cappelletti, Valentina, Thomas Häuser, Ilaria Piazza, et al.. (2020). Dynamic 3D proteomes reveal protein functional alterations at high resolution in situ. Cell. 184(2). 545–559.e22. 104 indexed citations

8.

Kamrad, Stephan, Jan Großbach, Maria Rodríguez‐López, et al.. (2020). Pyruvate kinase variant of fission yeast tunes carbon metabolism, cell regulation, growth and stress resistance. Molecular Systems Biology. 16(4). e9270–e9270. 26 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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