M. Niebuhr

19 total papers · 1.6k total citations
13 papers, 929 citations indexed

About

M. Niebuhr is a scholar working on Materials Chemistry, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, M. Niebuhr has authored 13 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Molecular Biology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in M. Niebuhr's work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers) and Material Dynamics and Properties (2 papers). M. Niebuhr is often cited by papers focused on Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers) and Material Dynamics and Properties (2 papers). M. Niebuhr collaborates with scholars based in United States, Japan and Germany. M. Niebuhr's co-authors include Thomas Weiß, Hiro Tsuruta, Dennis Nordlund, Yoshihisa Harada, Takashi Tokushima, Osamu Takahashi, Anders Nilsson, Kjartan Thor Wikfeldt, Alexander P. Lyubartsev and Congcong Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Biochemistry.

In The Last Decade

M. Niebuhr

11 papers receiving 899 citations

Hit Papers

The inhomogeneous structu... 2009 2026 2014 2020 2009 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Niebuhr 351 324 219 159 152 13 929
Jichen Li 347 1.0× 426 1.3× 205 0.9× 169 1.1× 29 0.2× 51 1.2k
Brendan O’Malley 388 1.1× 105 0.3× 244 1.1× 190 1.2× 15 0.1× 21 1.1k
Gernot Guigas 108 0.3× 200 0.6× 698 3.2× 203 1.3× 114 0.8× 19 1.1k
Bo Svensson 317 0.9× 191 0.6× 407 1.9× 124 0.8× 50 0.3× 30 1.0k
Barton A. Smith 111 0.3× 226 0.7× 573 2.6× 140 0.9× 48 0.3× 19 960
H. Miyagawa 305 0.9× 273 0.8× 583 2.7× 129 0.8× 32 0.2× 23 974
Hacène Boukari 291 0.8× 139 0.4× 353 1.6× 318 2.0× 57 0.4× 41 1.2k
Laura Stingaciu 156 0.4× 159 0.5× 401 1.8× 121 0.8× 24 0.2× 40 962
E. S. Wu 86 0.2× 242 0.7× 765 3.5× 183 1.2× 55 0.4× 16 1.2k
Benjamin P. Lee 223 0.6× 194 0.6× 353 1.6× 105 0.7× 23 0.2× 31 1.1k

Countries citing papers authored by M. Niebuhr

Since Specialization
Citations

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

Fields of papers citing papers by M. Niebuhr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Niebuhr

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

All Works

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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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