Markus Kohlstädt

862 total citations
36 papers, 640 citations indexed

About

Markus Kohlstädt is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Markus Kohlstädt has authored 36 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 18 papers in Polymers and Plastics and 7 papers in Materials Chemistry. Recurrent topics in Markus Kohlstädt's work include Perovskite Materials and Applications (22 papers), Conducting polymers and applications (18 papers) and Organic Electronics and Photovoltaics (12 papers). Markus Kohlstädt is often cited by papers focused on Perovskite Materials and Applications (22 papers), Conducting polymers and applications (18 papers) and Organic Electronics and Photovoltaics (12 papers). Markus Kohlstädt collaborates with scholars based in Germany, France and Italy. Markus Kohlstädt's co-authors include Uli Würfel, Jan Herterich, Moritz Unmüssig, Andreas Hinsch, Aldo Di Carlo, Luigi Angelo Castriotta, Katerina Dörner, Stefan W. Glunz, Thorsten Friedrich and Thomas Pfadler and has published in prestigious journals such as Angewandte Chemie International Edition, Energy & Environmental Science and Journal of Applied Physics.

In The Last Decade

Markus Kohlstädt

33 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Kohlstädt Germany 16 529 247 235 56 54 36 640
Aparna Misra India 11 373 0.7× 154 0.6× 201 0.9× 42 0.8× 43 0.8× 17 487
Keli Shi China 17 663 1.3× 536 2.2× 168 0.7× 47 0.8× 22 0.4× 44 802
Christian Koerner Germany 14 650 1.2× 380 1.5× 236 1.0× 18 0.3× 38 0.7× 34 760
Lukas Oesinghaus Germany 8 489 0.9× 179 0.7× 365 1.6× 177 3.2× 17 0.3× 10 666
Andrés Burgos‐Caminal Switzerland 8 547 1.0× 183 0.7× 397 1.7× 25 0.4× 47 0.9× 10 616
Marc Maymó Spain 7 330 0.6× 200 0.8× 79 0.3× 36 0.6× 56 1.0× 11 439
Yuzhan Wang China 12 182 0.3× 36 0.1× 190 0.8× 34 0.6× 84 1.6× 28 370
Marco Aurélio Toledo da Silva Brazil 12 205 0.4× 96 0.4× 156 0.7× 36 0.6× 35 0.6× 35 334
Yingping Zou China 9 588 1.1× 421 1.7× 85 0.4× 23 0.4× 51 0.9× 13 634

Countries citing papers authored by Markus Kohlstädt

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kohlstädt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kohlstädt

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

All Works

20 of 20 papers shown
1.
Seo, Seongrok, Philippe Holzhey, Lukas Wagner, et al.. (2025). Charge Extraction Multilayers Enable Positive-Intrinsic-Negative Perovskite Solar Cells with Carbon Electrodes. ACS Energy Letters. 10(6). 2736–2742. 7 indexed citations
2.
3.
Er‐raji, Oussama, Anand S. Subbiah, Badri Vishal, et al.. (2025). Coating dynamics in two-step hybrid evaporated/blade-coated perovskites for scalable fully-textured perovskite/silicon tandem solar cells. FreiDok plus (Universitätsbibliothek Freiburg). 1(3). 419–430. 1 indexed citations
4.
Baretzky, Clemens, Dmitry Bogachuk, Bowen Yang, et al.. (2025). Suppressing Halide Segregation in Wide‐Bandgap Perovskite Absorbers by Transamination of Formamidinium. ChemPhysChem. 26(15). e202500022–e202500022.
5.
Yang, Bowen, Jiajia Suo, Dmitry Bogachuk, et al.. (2024). A universal ligand for lead coordination and tailored crystal growth in perovskite solar cells. Energy & Environmental Science. 17(4). 1549–1558. 44 indexed citations
6.
Bogachuk, Dmitry, Peter Van Der Windt, Lukas Wagner, et al.. (2024). Remanufacturing Perovskite Solar Cells and Modules–A Holistic Case Study. ACS Sustainable Resource Management. 1(3). 417–426. 16 indexed citations
7.
Bogachuk, Dmitry, David Martineau, Stèphanie Narbey, et al.. (2023). Nanoarchitectonics in fully printed perovskite solar cells with carbon-based electrodes. Nanoscale. 15(7). 3130–3134. 16 indexed citations
8.
Bogachuk, Dmitry, Clemens Baretzky, Bowen Yang, et al.. (2023). Rethinking Electrochemical Deposition of Nickel Oxide for Photovoltaic Applications. Solar RRL. 8(2). 4 indexed citations
9.
Herterich, Jan, Clemens Baretzky, Moritz Unmüssig, et al.. (2022). Toward Understanding the Short‐Circuit Current Loss in Perovskite Solar Cells with 2D Passivation Layers. Solar RRL. 6(7). 19 indexed citations
10.
11.
Wang, Jing, Ivonne Rodríguez-Donis, Sophie Thiébaud‐Roux, et al.. (2021). Selection of green solvents for organic photovoltaics by reverse engineering. Molecular Systems Design & Engineering. 7(2). 182–195. 3 indexed citations
12.
13.
Ahmad, Taimoor, Eros Radicchi, Pierpaolo Spinelli, et al.. (2020). New Fullerene Derivative as an n‐Type Material for Highly Efficient, Flexible Perovskite Solar Cells of a p‐i‐n Configuration. Advanced Functional Materials. 30(45). 46 indexed citations
14.
Mundt, Laura E., Wolfram Kwapil, Jan Herterich, et al.. (2019). Quantitative Local Loss Analysis of Blade-Coated Perovskite Solar Cells. IEEE Journal of Photovoltaics. 9(2). 452–459. 14 indexed citations
15.
Reichel, Christian, Uli Würfel, Hans‐Frieder Schleiermacher, et al.. (2018). Electron-selective contacts via ultra-thin organic interface dipoles for silicon organic heterojunction solar cells. Journal of Applied Physics. 123(2). 28 indexed citations
16.
Kohlstädt, Markus, et al.. (2018). A Matter of Drying: Blade‐Coating of Lead Acetate Sourced Planar Inverted Perovskite Solar Cells on Active Areas >1 cm2. physica status solidi (a). 215(21). 11 indexed citations
17.
Zimmermann, Eugen, Ka Kan Wong, Michael Müller, et al.. (2016). Characterization of perovskite solar cells: Towards a reliable measurement protocol. APL Materials. 4(9). 94 indexed citations
18.
Biskup, Till, et al.. (2015). Ordering of PCDTBT Revealed by Time‐Resolved Electron Paramagnetic Resonance Spectroscopy of Its Triplet Excitons. Angewandte Chemie International Edition. 54(26). 7707–7710. 35 indexed citations
19.
Schneider, Daniel, Thomas Pohl, Julia Walter, et al.. (2008). Assembly of the Escherichia coli NADH:ubiquinone oxidoreductase (complex I). Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(7-8). 735–739. 40 indexed citations
20.
Pohl, Thomas, Daniel Schneider, Ruth Hielscher, et al.. (2008). Nucleotide-induced conformational changes in the Escherichia coli NADH:ubiquinone oxidoreductase (complex I). Biochemical Society Transactions. 36(5). 971–975. 14 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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