Maik Wacker

1.3k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Maik Wacker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Maik Wacker has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Maik Wacker's work include Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (2 papers) and Cell death mechanisms and regulation (1 paper). Maik Wacker is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (2 papers) and Cell death mechanisms and regulation (1 paper). Maik Wacker collaborates with scholars based in Germany, United States and Switzerland. Maik Wacker's co-authors include Joachim Klose, Dijana Šagi, Jie Shen, James Palacino, Matthew S. Goldberg, Stefan Krauß, Claus Zabel, Grit Nebrich, Angela M. Kaindl and Lei Mao and has published in prestigious journals such as Journal of Biological Chemistry, Cell Death and Differentiation and Molecular & Cellular Proteomics.

In The Last Decade

Maik Wacker

8 papers receiving 1.0k citations

Hit Papers

Mitochondrial Dysfunction and Oxidative Damage in parkin-... 2004 2026 2011 2018 2004 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
Maik Wacker Germany 7 556 540 385 212 204 8 1.0k
Vidya N. Nukala United States 8 609 1.1× 252 0.5× 277 0.7× 160 0.8× 183 0.9× 9 862
Malle Kuum Estonia 13 636 1.1× 256 0.5× 228 0.6× 279 1.3× 314 1.5× 15 1.1k
Wei-Dong Le China 15 403 0.7× 302 0.6× 207 0.5× 135 0.6× 252 1.2× 24 936
Scott Pownall Canada 8 427 0.8× 368 0.7× 269 0.7× 107 0.5× 69 0.3× 8 816
Suzanne J. Randle United Kingdom 14 639 1.1× 245 0.5× 162 0.4× 470 2.2× 242 1.2× 20 1.1k
Nali Jia China 9 537 1.0× 188 0.3× 429 1.1× 101 0.5× 99 0.5× 11 909
Zsu‐Zsu Chen United States 8 279 0.5× 363 0.7× 182 0.5× 225 1.1× 94 0.5× 21 722
Fabrizio Pontarelli United States 12 514 0.9× 379 0.7× 410 1.1× 142 0.7× 149 0.7× 17 1.1k
Julia C. Fitzgerald Germany 19 591 1.1× 270 0.5× 216 0.6× 200 0.9× 137 0.7× 30 1.0k
Jason Schapansky Canada 11 345 0.6× 377 0.7× 188 0.5× 361 1.7× 169 0.8× 16 901

Countries citing papers authored by Maik Wacker

Since Specialization
Citations

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

Fields of papers citing papers by Maik Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maik Wacker

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

All Works

8 of 8 papers shown
1.
Zabel, Claus, Lei Mao, Ben Woodman, et al.. (2008). A Large Number of Protein Expression Changes Occur Early in Life and Precede Phenotype Onset in a Mouse Model for Huntington Disease. Molecular & Cellular Proteomics. 8(4). 720–734. 62 indexed citations
2.
Mao, Lei, Maik Wacker, Grit Nebrich, et al.. (2007). Heart protein expression related to age and sex in mice and humans. International Journal of Molecular Medicine. 20(6). 865–74. 22 indexed citations
3.
Schmidt, Frank, Burkhardt Dahlmann, Katharina Janek, et al.. (2006). Comprehensive quantitative proteome analysis of 20S proteasome subtypes from rat liver by isotope coded affinity tag and 2‐D gel‐based approaches. PROTEOMICS. 6(16). 4622–4632. 50 indexed citations
4.
Zabel, Claus, Dijana Šagi, Angela M. Kaindl, et al.. (2006). Comparative Proteomics in Neurodegenerative and Non-neurodegenerative Diseases Suggest Nodal Point Proteins in Regulatory Networking. Journal of Proteome Research. 5(8). 1948–1958. 47 indexed citations
5.
Kaindl, Angela M., Marco Sifringer, Claus Zabel, et al.. (2005). Acute and long-term proteome changes induced by oxidative stress in the developing brain. Cell Death and Differentiation. 13(7). 1097–1109. 49 indexed citations
6.
Hoehenwarter, Wolfgang, Nalin M. Kumar, Maik Wacker, et al.. (2004). Eye lens proteomics: from global approach to detailed information about phakinin and gamma E and F crystallin genes. PROTEOMICS. 5(1). 245–257. 8 indexed citations
7.
Palacino, James, Dijana Šagi, Matthew S. Goldberg, et al.. (2004). Mitochondrial Dysfunction and Oxidative Damage in parkin-deficient Mice. Journal of Biological Chemistry. 279(18). 18614–18622. 787 indexed citations breakdown →
8.
Wacker, Maik, et al.. (1976). Ethidium bromide and hepatic mitochondrial structure in mice. A morphometric analysis.. PubMed. 11(2). 129–35. 4 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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