Georg Wallmann

494 total citations · 1 hit paper
10 papers, 229 citations indexed

About

Georg Wallmann is a scholar working on Spectroscopy, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Georg Wallmann has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 6 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Georg Wallmann's work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Viral gastroenteritis research and epidemiology (2 papers). Georg Wallmann is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (5 papers) and Viral gastroenteritis research and epidemiology (2 papers). Georg Wallmann collaborates with scholars based in Germany, United States and Denmark. Georg Wallmann's co-authors include Nikolai Slavov, Andrew Leduc, Harrison Specht, Vadim Demichev, R. Gray Huffman, Matthew Willetts, Saad Khan, Jason Derks, Markus Ralser and Patricia Skowronek and has published in prestigious journals such as Nature Biotechnology, FEBS Letters and Nature Protocols.

In The Last Decade

Georg Wallmann

9 papers receiving 227 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.

Increasing the throughput of sensitive proteomics by plexDIA

2022 138 citations Jason Derks, Andrew Leduc et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Georg Wallmann Germany	6	163	153	29	29	18	10	229
Caitlin I. Stoddard United States	9	244 1.5×	46 0.3×	11 0.4×	78 2.7×	12 0.7×	11	407
Nic Bloomfield Canada	4	170 1.0×	191 1.2×	17 0.6×	16 0.6×	3 0.2×	4	254
Eduard H.T.M. Ebberink Netherlands	9	102 0.6×	58 0.4×	9 0.3×	20 0.7×	20 1.1×	14	210
Christoph Gstöttner Netherlands	11	234 1.4×	119 0.8×	73 2.5×	39 1.3×	5 0.3×	22	346
Marco Schiavina Italy	11	193 1.2×	74 0.5×	3 0.1×	36 1.2×	8 0.4×	18	258
Linda Jürgens Germany	2	157 1.0×	124 0.8×	13 0.4×	17 0.6×	3 0.2×	2	221
Mohammed Shahraz Germany	6	109 0.7×	24 0.2×	7 0.2×	68 2.3×	6 0.3×	7	199
Victoria C. Cotham United States	10	187 1.1×	210 1.4×	28 1.0×	6 0.2×	2 0.1×	17	331
Clara‐Marie Gürth Germany	7	58 0.4×	19 0.1×	18 0.6×	33 1.1×	14 0.8×	7	144
Bon Ikwuagwu United States	4	104 0.6×	105 0.7×	21 0.7×	17 0.6×	1 0.1×	5	208

Countries citing papers authored by Georg Wallmann

Since Specialization

Citations

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

Fields of papers citing papers by Georg Wallmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Wallmann

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

All Works

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10 of 10 papers shown

1.

Wallmann, Georg, et al.. (2026). Deep Learning-Driven Fragment Ion Selection for Improved Quantification in MS based Proteomics. bioRxiv (Cold Spring Harbor Laboratory).

2.

Pérez‐Riverol, Yasset, Wout Bittremieux, William Stafford Noble, et al.. (2025). Open-Source and FAIR Research Software for Proteomics. Journal of Proteome Research. 24(5). 2222–2234. 6 indexed citations

3.

Wallmann, Georg, Patricia Skowronek, Marvin Thielert, et al.. (2025). AlphaDIA enables DIA transfer learning for feature-free proteomics. Nature Biotechnology. 1 indexed citations

4.

Skowronek, Patricia, Georg Wallmann, Maria Wahle, Sander Willems, & Matthias Mann. (2025). An accessible workflow for high-sensitivity proteomics using parallel accumulation–serial fragmentation (PASEF). Nature Protocols. 20(6). 1700–1729. 8 indexed citations

5.

Wallmann, Georg, Gergely Csaba, Helmut Blum, et al.. (2024). Deletion of the transcription factors Hsf1, Msn2 and Msn4 in yeast uncovers transcriptional reprogramming in response to proteotoxic stress. FEBS Letters. 598(6). 635–657. 4 indexed citations

6.

Wallmann, Georg, Andrew Leduc, & Nikolai Slavov. (2023). Data-Driven Optimization of DIA Mass Spectrometry by DO-MS. Journal of Proteome Research. 22(10). 3149–3158. 5 indexed citations

7.

Skowronek, Patricia, Markus Lubeck, Georg Wallmann, et al.. (2022). Synchro-PASEF Allows Precursor-Specific Fragment Ion Extraction and Interference Removal in Data-Independent Acquisition. Molecular & Cellular Proteomics. 22(2). 100489–100489. 35 indexed citations

8.

Derks, Jason, Andrew Leduc, Georg Wallmann, et al.. (2022). Increasing the throughput of sensitive proteomics by plexDIA. Nature Biotechnology. 41(1). 50–59. 138 indexed citations breakdown →

9.

Maaß, Thorben, Georg Wallmann, Hannelore Peters, et al.. (2021). NMR Experiments Shed New Light on Glycan Recognition by Human and Murine Norovirus Capsid Proteins. Viruses. 13(3). 416–416. 17 indexed citations

10.

Schulze, Eric, et al.. (2019). Chemical‐Shift Perturbations Reflect Bile Acid Binding to Norovirus Coat Protein: Recognition Comes in Different Flavors. ChemBioChem. 21(7). 1007–1021. 15 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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