Maik Hüttemann

11.1k citations
154 papers · 8.7k indexed · 2 hit papers · h-index 50
Topics
Mitochondrial Function and Pathology (79 papers)ATP Synthase and ATPases Research (55 papers)Photosynthetic Processes and Mechanisms (28 papers)

In The Last Decade

Maik Hüttemann

151 papers receiving 8.6k citations

Hit Papers

Molecular Mechanisms of Ischemia–Reperfusion Injury in Br...201220262016202120122024100200300400500

Peers

Maik Hüttemann
Comparison fields: 5 of 153
  • Molecular Biology 5.4k
  • Physiology 1.1k
  • Cancer Research 979
  • Epidemiology 719
  • Immunology 603
Replace Massimo Bonora with:
Massimo Bonora Italy
Vladimir Gogvadze Sweden
Saverio Marchi Italy
Magdalena Juhaszova United States
Simone Patergnani Italy
Alessandro Rimessi Italy
Michael Kinter United States
Muniswamy Madesh United States
Daret K. St. Clair United States
Christos Chinopoulos Hungary
Maik Hüttemann relative to Massimo Bonora Italy Massimo Bonora's profile →
Citations per field
00.5×1.5×2.2×
Massimo Bonora · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 27
5 44
6 4
7 143
8 29
9 71
10 46
11 1
12 49
13 160
14 56
15 428
16 199
17 197
18 10
19 11
20 11

About Maik Hüttemann

Maik Hüttemann is a scholar working on Molecular Biology, Clinical Biochemistry and Cancer Research, having authored 154 papers that have together received 8.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (79 papers), ATP Synthase and ATPases Research (55 papers) and Photosynthetic Processes and Mechanisms (28 papers). The work is most often cited by research in Molecular Biology (5.4k citations), Clinical Biochemistry (505 citations) and Cancer Research (979 citations). Maik Hüttemann has collaborated with scholars based in United States, South Korea and Germany. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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