Maik Hüttemann

217 total papers · 11.0k total citations
154 papers, 8.6k citations indexed

About

Maik Hüttemann is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Maik Hüttemann has authored 154 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 20 papers in Physiology and 18 papers in Cancer Research. Recurrent topics in Maik Hüttemann's work include Mitochondrial Function and Pathology (79 papers), ATP Synthase and ATPases Research (55 papers) and Photosynthetic Processes and Mechanisms (28 papers). Maik Hüttemann is often cited by papers focused on Mitochondrial Function and Pathology (79 papers), ATP Synthase and ATPases Research (55 papers) and Photosynthetic Processes and Mechanisms (28 papers). Maik Hüttemann collaborates with scholars based in United States, South Korea and Germany. Maik Hüttemann's co-authors include Icksoo Lee, Lawrence I. Grossman, Thomas H. Sanderson, Bernhard Kadenbach, Lobelia Samavati, Jeffrey W. Doan, Karin Przyklenk, Susanne Arnold, Christian A. Reynolds and Petr Pecina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Maik Hüttemann

148 papers receiving 8.5k citations

Hit Papers

Molecular Mechanisms of I... 2012 2026 2016 2021 2012 2024 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maik Hüttemann 5.4k 1.1k 973 715 598 154 8.6k
Qun Chen 5.2k 1.0× 1.3k 1.2× 869 0.9× 827 1.2× 458 0.8× 213 9.2k
Tak Yee Aw 4.4k 0.8× 1.4k 1.3× 684 0.7× 709 1.0× 833 1.4× 138 10.5k
Christopher Baines 6.7k 1.2× 1.3k 1.2× 725 0.7× 1.1k 1.6× 607 1.0× 81 11.3k
Vladimir Gogvadze 6.1k 1.1× 1.0k 0.9× 1.3k 1.3× 1.1k 1.5× 815 1.4× 121 10.1k
John L. Farber 4.9k 0.9× 911 0.8× 669 0.7× 708 1.0× 662 1.1× 136 9.3k
Rodrigo Franco 4.2k 0.8× 887 0.8× 631 0.6× 638 0.9× 454 0.8× 110 8.3k
Magdalena Juhaszova 5.7k 1.1× 1.5k 1.4× 741 0.8× 883 1.2× 555 0.9× 56 11.0k
Anna–Liisa Levonen 5.7k 1.0× 1.2k 1.1× 877 0.9× 617 0.9× 887 1.5× 99 8.7k
John W. Elrod 3.9k 0.7× 1.8k 1.6× 437 0.4× 583 0.8× 523 0.9× 109 8.0k
Werner J.H. Koopman 6.5k 1.2× 1.1k 1.0× 772 0.8× 802 1.1× 524 0.9× 149 9.0k

Countries citing papers authored by Maik Hüttemann

Since Specialization
Citations

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

Fields of papers citing papers by Maik Hüttemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maik Hüttemann

This figure shows the co-authorship network connecting the top 25 collaborators of Maik Hüttemann. A scholar is included among the top collaborators of Maik Hüttemann 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 Maik Hüttemann. Maik Hüttemann 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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