Florian Meier

7.2k total citations · 4 hit papers
50 papers, 4.2k citations indexed

About

Florian Meier is a scholar working on Spectroscopy, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Florian Meier has authored 50 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Spectroscopy, 26 papers in Molecular Biology and 8 papers in Atmospheric Science. Recurrent topics in Florian Meier's work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (24 papers) and Metabolomics and Mass Spectrometry Studies (17 papers). Florian Meier is often cited by papers focused on Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (24 papers) and Metabolomics and Mass Spectrometry Studies (17 papers). Florian Meier collaborates with scholars based in Germany, Denmark and United States. Florian Meier's co-authors include Matthias Mann, Markus Lubeck, Melvin A. Park, Nicolai Bache, Andreas‐David Brunner, Philipp E. Geyer, Oliver Raether, Sebastian Virreira Winter, Jüergen Cox and Eugenia Voytik and has published in prestigious journals such as Nature, Physical Review Letters and Nature Medicine.

In The Last Decade

Florian Meier

48 papers receiving 4.2k 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.

Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer

2018 635 citations Florian Meier, Heiner Koch et al. Molecular & Cellular Proteomics profile →
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition

2020 489 citations Florian Meier, Andreas‐David Brunner et al. Nature Methods profile →
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation

2022 294 citations Andreas‐David Brunner, Marvin Thielert et al. Molecular Systems Biology profile →
Noninvasive proteomic biomarkers for alcohol-related liver disease

2022 154 citations Lili Niu, Maja Thiele et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Meier Germany	27	2.6k	2.1k	261	248	231	50	4.2k
Rovshan G. Sadygov United States	27	3.7k 1.4×	2.7k 1.3×	409 1.6×	125 0.5×	250 1.1×	70	5.2k
Randall W. Nelson United States	43	2.7k 1.0×	2.3k 1.1×	252 1.0×	549 2.2×	135 0.6×	118	4.7k
Kevin L. Schey United States	44	4.5k 1.7×	1.5k 0.7×	448 1.7×	183 0.7×	198 0.9×	225	6.5k
Jürgen Schäfer Germany	24	1.6k 0.6×	1.2k 0.6×	146 0.6×	163 0.7×	151 0.7×	99	3.4k
Michael A. Freitas United States	39	3.0k 1.1×	1.5k 0.7×	125 0.5×	214 0.9×	82 0.4×	133	4.9k
Liam A. McDonnell Netherlands	46	3.8k 1.4×	4.2k 2.0×	178 0.7×	468 1.9×	137 0.6×	147	6.9k
Péter Juhász United States	26	3.7k 1.4×	3.9k 1.9×	419 1.6×	339 1.4×	184 0.8×	53	6.0k
Michael S. Westphall United States	44	4.0k 1.5×	3.6k 1.7×	356 1.4×	622 2.5×	315 1.4×	111	6.5k
Stevan Horning United States	26	3.7k 1.4×	3.7k 1.8×	357 1.4×	336 1.4×	139 0.6×	39	6.2k
Oliver Lange Germany	14	3.3k 1.2×	2.9k 1.4×	291 1.1×	254 1.0×	136 0.6×	17	5.0k

Countries citing papers authored by Florian Meier

Since Specialization

Citations

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

Fields of papers citing papers by Florian Meier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Meier

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

20 of 20 papers shown

Bone, Robert A., Molly Lowndes, Morten Dall, et al.. (2025). Altering metabolism programs cell identity via NAD+-dependent deacetylation. The EMBO Journal. 44(11). 3056–3084.

Foelsche, Ulrich, et al.. (2024). Assessment of two approaches for very short range precipitation prediction for a convection-dominant period at different scales. Atmospheric Research. 308. 107522–107522.

Steigerwald, Sophia, Ankit Sinha, Kyle L. Fort, et al.. (2024). Full Mass Range ΦSDM Orbitrap Mass Spectrometry for DIA Proteome Analysis. Molecular & Cellular Proteomics. 23(2). 100713–100713. 3 indexed citations

Russo, David A., et al.. (2024). EXCRETE workflow enables deep proteomics of the microbial extracellular environment. Communications Biology. 7(1). 1189–1189. 2 indexed citations

Rinke, Jenny, Thomas Ernst, Nina Hahn, et al.. (2024). µPhos: a scalable and sensitive platform for high-dimensional phosphoproteomics. Molecular Systems Biology. 20(8). 972–995. 10 indexed citations

Strauss, Maximilian T., Isabell Bludau, Wen‐Feng Zeng, et al.. (2024). AlphaPept: a modern and open framework for MS-based proteomics. Nature Communications. 15(1). 2168–2168. 21 indexed citations

Liu, Fanny C., et al.. (2022). Tandem Trapped Ion Mobility Spectrometry/Mass Spectrometry (tTIMS/MS) Reveals Sequence-Specific Determinants of Top-Down Protein Fragment Ion Cross Sections. Analytical Chemistry. 94(23). 8146–8155. 14 indexed citations

Meier, Florian, et al.. (2022). Ion mobility‐resolved phosphoproteomics with dia‐PASEF and short gradients. PROTEOMICS. 23(7-8). e2200032–e2200032. 19 indexed citations

Skowronek, Patricia, Marvin Thielert, Eugenia Voytik, et al.. (2022). Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF. Molecular & Cellular Proteomics. 21(9). 100279–100279. 105 indexed citations

10.

Brunner, Andreas‐David, Marvin Thielert, Catherine G. Vasilopoulou, et al.. (2022). Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation. Molecular Systems Biology. 18(3). e10798–e10798. 294 indexed citations breakdown →

11.

Niu, Lili, Maja Thiele, Philipp E. Geyer, et al.. (2022). Noninvasive proteomic biomarkers for alcohol-related liver disease. Nature Medicine. 28(6). 1277–1287. 154 indexed citations breakdown →

12.

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

13.

Niu, Lili, Philipp E. Geyer, Rajat Gupta, et al.. (2022). Dynamic human liver proteome atlas reveals functional insights into disease pathways. Molecular Systems Biology. 18(5). e10947–e10947. 27 indexed citations

14.

Meier, Florian, Niklas Köhler, Andreas‐David Brunner, et al.. (2021). Deep learning the collisional cross sections of the peptide universe from a million experimental values. Nature Communications. 12(1). 1185–1185. 95 indexed citations

15.

Meier, Florian, Andreas‐David Brunner, Max Frank, et al.. (2020). diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition. Nature Methods. 17(12). 1229–1236. 489 indexed citations breakdown →

16.

Vasilopoulou, Catherine G., Karolina Sulek, Andreas‐David Brunner, et al.. (2020). Trapped ion mobility spectrometry and PASEF enable in-depth lipidomics from minimal sample amounts. Nature Communications. 11(1). 331–331. 155 indexed citations

17.

Winter, Sebastian Virreira, Florian Meier, Christoph Wichmann, et al.. (2018). EASI-tag enables accurate multiplexed and interference-free MS2-based proteome quantification. Nature Methods. 15(7). 527–530. 74 indexed citations

18.

Bache, Nicolai, Philipp E. Geyer, Dorte B. Bekker‐Jensen, et al.. (2018). A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics. Molecular & Cellular Proteomics. 17(11). 2284–2296. 255 indexed citations

19.

Meier, Florian, Heiner Koch, Markus Lubeck, et al.. (2018). Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer. Molecular & Cellular Proteomics. 17(12). 2534–2545. 635 indexed citations breakdown →

20.

Doll, Sophia, Martina Dreßen, Philipp E. Geyer, et al.. (2017). Region and cell-type resolved quantitative proteomic map of the human heart. Nature Communications. 8(1). 1469–1469. 198 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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