Michael Schmid

34.7k total citations · 4 hit papers
683 papers, 27.6k citations indexed

About

Michael Schmid is a scholar working on Genetics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Michael Schmid has authored 683 papers receiving a total of 27.6k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Genetics, 183 papers in Molecular Biology and 181 papers in Materials Chemistry. Recurrent topics in Michael Schmid's work include Chromosomal and Genetic Variations (173 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (92 papers) and Advanced Chemical Physics Studies (87 papers). Michael Schmid is often cited by papers focused on Chromosomal and Genetic Variations (173 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (92 papers) and Advanced Chemical Physics Studies (87 papers). Michael Schmid collaborates with scholars based in Germany, Austria and United States. Michael Schmid's co-authors include П. Варга, Ulrike Diebold, Thomas Haaf, Manfred Schartl, Martina Guttenbach, Indrajit Nanda, Gareth S. Parkinson, Edvin Lundgren, Martin Setvín and Claus Steinlein and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Schmid

668 papers receiving 26.9k citations

Hit Papers

Atomic-Scale Structure and Catalytic Reactivity ... 1980 2026 1995 2010 2000 2002 2013 1980 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Schmid Germany 85 10.1k 7.7k 5.9k 5.8k 4.8k 683 27.6k
Robert H. Crabtree United States 150 12.0k 1.2× 2.7k 0.4× 754 0.1× 23.9k 4.2× 2.9k 0.6× 730 80.6k
Andrew L. Rohl Australia 42 3.9k 0.4× 5.4k 0.7× 1.1k 0.2× 2.7k 0.5× 1.0k 0.2× 137 16.4k
Stephen Mann United Kingdom 120 23.0k 2.3× 450 0.1× 1.1k 0.2× 12.3k 2.1× 2.1k 0.4× 668 55.5k
James Barber United Kingdom 92 7.0k 0.7× 253 0.0× 5.8k 1.0× 18.2k 3.2× 4.6k 1.0× 459 34.9k
Gregory J. Pazour United States 56 2.3k 0.2× 8.9k 1.2× 1.5k 0.3× 11.9k 2.1× 738 0.2× 125 24.7k
R. M. Stroud United States 67 4.5k 0.4× 860 0.1× 583 0.1× 6.1k 1.1× 955 0.2× 376 16.4k
Richard O. Prum United States 54 2.5k 0.2× 2.4k 0.3× 581 0.1× 2.4k 0.4× 2.0k 0.4× 144 17.1k
Leslie E. Orgel United States 78 3.3k 0.3× 2.4k 0.3× 1.4k 0.2× 12.3k 2.1× 1.1k 0.2× 323 22.8k
R. Reisfeld Israel 72 10.1k 1.0× 936 0.1× 759 0.1× 5.7k 1.0× 2.1k 0.4× 492 24.0k
F. Michael Hoffmann United States 60 3.2k 0.3× 846 0.1× 321 0.1× 5.8k 1.0× 3.3k 0.7× 172 12.3k

Countries citing papers authored by Michael Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schmid. A scholar is included among the top collaborators of Michael Schmid 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 Michael Schmid. Michael Schmid 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.
Sokolović, Igor, Michael Schmid, Ulrike Diebold, & Martin Setvín. (2025). How to cleave cubic perovskite oxides. Review of Scientific Instruments. 96(3). 1 indexed citations
2.
Schmid, Michael, et al.. (2025). ViPErLEED package II: Spot tracking, extraction, and processing of I(V) curves. Physical Review Research. 7(1). 3 indexed citations
3.
Franceschi, Giada, Pavel Kocán, Jan Balajka, et al.. (2023). Resolving the intrinsic short-range ordering of K+ ions on cleaved muscovite mica. Nature Communications. 14(1). 208–208. 31 indexed citations
4.
Franceschi, Giada, Jan Balajka, Igor Sokolović, et al.. (2023). Interaction of surface cations of cleaved mica with water in vapor and liquid forms. Faraday Discussions. 249(0). 84–97. 6 indexed citations
5.
Schmid, Michael, et al.. (2022). Why and How Savitzky–Golay Filters Should Be Replaced. ACS Measurement Science Au. 2(2). 185–196. 95 indexed citations
6.
Merte, Lindsay R., Igor Sokolović, Martin Setvín, et al.. (2022). Structure of an Ultrathin Oxide on Pt 3 Sn(111) Solved by Machine Learning Enhanced Global Optimization**. Angewandte Chemie International Edition. 61(25). e202204244–e202204244. 29 indexed citations
7.
Kraushofer, Florian, Peigang Li, Yu Wang, et al.. (2020). IrO2 Surface Complexions Identified through Machine Learning and Surface Investigations. Physical Review Letters. 125(20). 206101–206101. 56 indexed citations
8.
Fobes, David, Jin Peng, Zhiqiang Mao, et al.. (2017). Ordered hydroxyls on Ca3Ru2O7(001). Nature Communications. 8(1). 23–23. 11 indexed citations
9.
Setvín, Martin, Xianfeng Hao, Jiří Pavelec, et al.. (2014). Charge Trapping at the Step Edges of TiO2 Anatase (101). Angewandte Chemie International Edition. 53(18). 4714–4716. 93 indexed citations
10.
Nanda, Indrajit, et al.. (2014). Sex chromosome polymorphism in guppies. Chromosoma. 123(4). 373–383. 39 indexed citations
12.
Nanda, Indrajit, et al.. (2000). Sequence Comparison of Avian Interferon Regulatory Factors and Identification of the Avian CEC-32 Cell as a Quail Cell Line. Journal of Interferon & Cytokine Research. 20(8). 711–717. 14 indexed citations
13.
Köehler, Michael, Bernd Wissinger, Valentin Gorboulev, Hermann Koepsell, & Michael Schmid. (1997). The two human organic cation transporter genes SLC22A1 and SLC22A2 are located on chromosome 6q26. Cytogenetic and Genome Research. 79(3-4). 198–200. 52 indexed citations
14.
Riegert, Patricia, Susan Gilfillan, Indrajit Nanda, Michael Schmid, & Seiamak Bahram. (1997). The mouse HFE gene. Immunogenetics. 47(2). 174–177. 15 indexed citations
15.
Schmid, Michael. (1996). Rationalität und Theoriebildung : Studien zu Karl R. Poppers Methodologie der Sozialwissenschaften. 2 indexed citations
16.
Veyhl, Maike, Michael Köhler, Alison Morrison-Shetlar, et al.. (1996). The Human Gene of a Protein That Modifies Na + - d -Glucose Co-Transport. DNA and Cell Biology. 15(9). 769–777. 22 indexed citations
17.
Köehler, Michael, et al.. (1995). Evidence for an unusual ZW/ZW’/ZZ sex-chromosome system in Scardinius erythrophthalmus (Pisces, Cyprinidae), as detected by cytogenetic and H-Y antigen analyses. Cytogenetic and Genome Research. 71(4). 356–362. 14 indexed citations
18.
Schartl, Manfred, Indrajit Nanda, Ingo Schlupp, et al.. (1995). Incorporation of subgenomic amounts of DNA as compensation for mutational load in a gynogenetic fish. Nature. 373(6509). 68–71. 152 indexed citations
19.
Durkheim, Émile, Niklas Luhmann, Hans‐Peter Müller, & Michael Schmid. (1988). Über soziale Arbeitsteilung : Studie über die Organisation höherer Gesellschaften. Suhrkamp eBooks. 73 indexed citations
20.
Schmid, Michael & W. Krone. (1976). The relationship of a specific chromosomal region to the development of the acrosome. Chromosoma. 56(4). 327–347. 33 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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