Marcel Niehaus

667 total citations · 1 hit paper
9 papers, 471 citations indexed

About

Marcel Niehaus is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Marcel Niehaus has authored 9 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Spectroscopy, 6 papers in Molecular Biology and 4 papers in Computational Mechanics. Recurrent topics in Marcel Niehaus's work include Mass Spectrometry Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Ion-surface interactions and analysis (4 papers). Marcel Niehaus is often cited by papers focused on Mass Spectrometry Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Ion-surface interactions and analysis (4 papers). Marcel Niehaus collaborates with scholars based in Germany, United Kingdom and Australia. Marcel Niehaus's co-authors include Jens Soltwisch, Klaus Dreisewerd, Mikhail E. Belov, Rory T. Steven, Josephine Bunch, Efstathios A. Elia, Jan‐Christoph Wolf, Andreas Schnapp, Alan T. Maccarone and Adam J. Trevitt and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Nature Methods.

In The Last Decade

Marcel Niehaus

9 papers receiving 461 citations

Hit Papers

Transmission-mode MALDI-2 mass spectrometry imaging of ce... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Niehaus Germany 7 374 283 91 40 28 9 471
Daisy Unsihuay United States 12 393 1.1× 309 1.1× 68 0.7× 77 1.9× 32 1.1× 20 532
Bingming Chen United States 16 428 1.1× 451 1.6× 52 0.6× 41 1.0× 33 1.2× 31 639
Katerina Djambazova United States 11 395 1.1× 382 1.3× 53 0.6× 29 0.7× 19 0.7× 16 545
Mark Towers United Kingdom 10 288 0.8× 254 0.9× 61 0.7× 22 0.6× 30 1.1× 15 406
Anne L. Bruinen Netherlands 10 228 0.6× 196 0.7× 107 1.2× 50 1.3× 41 1.5× 14 446
Alex Dexter United Kingdom 13 387 1.0× 322 1.1× 81 0.9× 56 1.4× 62 2.2× 24 540
Maria C. Prieto Conaway United States 10 431 1.2× 290 1.0× 107 1.2× 43 1.1× 21 0.8× 12 521
Guillaume Robichaud United States 8 538 1.4× 383 1.4× 117 1.3× 51 1.3× 49 1.8× 8 700
Pere Ràfols Spain 12 288 0.8× 255 0.9× 65 0.7× 59 1.5× 53 1.9× 20 431
Erika R. Amstalden van Hove Netherlands 8 390 1.0× 286 1.0× 141 1.5× 43 1.1× 37 1.3× 10 522

Countries citing papers authored by Marcel Niehaus

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Niehaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Niehaus

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

All Works

9 of 9 papers shown
1.
Young, Reuben S. E., Luke McAlary, Jeremy S. Lum, et al.. (2025). Subcellular mass spectrometry imaging of lipids and nucleotides using transmission geometry ambient laser desorption and plasma ionisation. Nature Communications. 16(1). 9130–9130. 3 indexed citations
2.
Niehaus, Marcel, et al.. (2025). Spatial biology using single-cell mass spectrometry imaging and integrated microscopy. Nature Communications. 16(1). 9129–9129. 5 indexed citations
3.
Maccarone, Alan T., et al.. (2022). Mass Spectrometry Imaging of Lipids Using MALDI Coupled with Plasma-Based Post-Ionization on a Trapped Ion Mobility Mass Spectrometer. Analytical Chemistry. 94(50). 17494–17503. 30 indexed citations
4.
5.
Niehaus, Marcel, Kenneth N. Robinson, Teresa Murta, et al.. (2020). MALDI-2 at Atmospheric Pressure—Parameter Optimization and First Imaging Experiments. Journal of the American Society for Mass Spectrometry. 31(11). 2287–2295. 21 indexed citations
6.
Elia, Efstathios A., Marcel Niehaus, Rory T. Steven, Jan‐Christoph Wolf, & Josephine Bunch. (2020). Atmospheric Pressure MALDI Mass Spectrometry Imaging Using In-Line Plasma Induced Postionization. Analytical Chemistry. 92(23). 15285–15290. 41 indexed citations
7.
Niehaus, Marcel, Jens Soltwisch, Mikhail E. Belov, & Klaus Dreisewerd. (2019). Transmission-mode MALDI-2 mass spectrometry imaging of cells and tissues at subcellular resolution. Nature Methods. 16(9). 925–931. 297 indexed citations breakdown →
8.
Niehaus, Marcel & Jens Soltwisch. (2018). New insights into mechanisms of material ejection in MALDI mass spectrometry for a wide range of spot sizes. Scientific Reports. 8(1). 7755–7755. 32 indexed citations
9.
Niehaus, Marcel, et al.. (2017). New Insights into the Wavelength Dependence of MALDI Mass Spectrometry. Analytical Chemistry. 89(14). 7734–7741. 30 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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