Martin Brandon

4.1k total citations · 3 hit papers
9 papers, 3.1k citations indexed

About

Martin Brandon is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, Martin Brandon has authored 9 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 1 paper in Genetics. Recurrent topics in Martin Brandon's work include Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Martin Brandon is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Martin Brandon collaborates with scholars based in United States, United Kingdom and France. Martin Brandon's co-authors include Douglas C. Wallace, Eduardo Ruiz‐Pesini, Dan Mishmar, Pierre Baldi, Vincent Procaccio, R. I. Sukernik, Paweł Golik, Seyed Vali Hosseini, Andrew G. Clark and Kirk A. Easley and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Martin Brandon

9 papers receiving 3.1k citations

Hit Papers

Natural selection shaped regional mtDNA variation in humans 2002 2026 2010 2018 2002 2004 2006 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
Martin Brandon United States 9 2.4k 897 732 383 217 9 3.1k
Dan Mishmar Israel 31 3.3k 1.4× 1.5k 1.7× 918 1.3× 285 0.7× 429 2.0× 66 4.4k
Paweł Golik Poland 25 1.9k 0.8× 530 0.6× 303 0.4× 167 0.4× 155 0.7× 54 2.5k
Douglas C. Wallace United States 21 2.7k 1.1× 681 0.8× 1.2k 1.7× 179 0.5× 51 0.2× 23 3.4k
N. O. Bianchi Argentina 30 1.6k 0.7× 1.6k 1.8× 120 0.2× 404 1.1× 199 0.9× 145 3.5k
Qing‐Peng Kong China 36 2.3k 1.0× 1.6k 1.7× 426 0.6× 326 0.9× 60 0.3× 111 3.8k
Kirsi Huoponen Finland 27 2.2k 0.9× 919 1.0× 938 1.3× 60 0.2× 46 0.2× 49 3.4k
James B. Stewart Germany 38 4.5k 1.9× 952 1.1× 1.4k 2.0× 277 0.7× 339 1.6× 60 5.3k
Marja‐Liisa Savontaus Finland 25 1.4k 0.6× 973 1.1× 482 0.7× 46 0.1× 44 0.2× 53 2.6k
Mark Lipson United States 26 906 0.4× 1.2k 1.3× 475 0.6× 70 0.2× 42 0.2× 62 2.4k
Dimitra Chalkia United States 11 1.1k 0.5× 333 0.4× 413 0.6× 99 0.3× 73 0.3× 16 1.5k

Countries citing papers authored by Martin Brandon

Since Specialization
Citations

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

Fields of papers citing papers by Martin Brandon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Brandon

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

All Works

9 of 9 papers shown
1.
Zaragoza, Michael V., Martin Brandon, Marta Diegoli, Eloisa Arbustini, & Douglas C. Wallace. (2010). Mitochondrial cardiomyopathies: how to identify candidate pathogenic mutations by mitochondrial DNA sequencing, MITOMASTER and phylogeny. European Journal of Human Genetics. 19(2). 200–207. 49 indexed citations
2.
Poole, Jason C., et al.. (2010). Multiplex analysis of mitochondrial DNA pathogenic and polymorphic sequence variants. Biological Chemistry. 391(10). 1115–30. 8 indexed citations
3.
Brandon, Martin, Pierre Baldi, & Douglas C. Wallace. (2006). Mitochondrial mutations in cancer. Oncogene. 25(34). 4647–4662. 647 indexed citations breakdown →
4.
Ruiz‐Pesini, Eduardo, Marie T. Lott, Vincent Procaccio, et al.. (2006). An enhanced MITOMAP with a global mtDNA mutational phylogeny. Nucleic Acids Research. 35(Database). D823–D828. 482 indexed citations
5.
Brandon, Martin. (2004). MITOMAP: a human mitochondrial genome database--2004 update. Nucleic Acids Research. 33(Database issue). D611–D613. 395 indexed citations
6.
Liu, Ying, Martin Brandon, Shamkant B. Navathe, Raymond Dingledine, & Brian J. Ciliax. (2004). Text Mining Functional Keywords Associated with Genes. Studies in health technology and informatics. 107(Pt 1). 292–6. 19 indexed citations
7.
Mishmar, Dan, Eduardo Ruiz‐Pesini, Martin Brandon, & Douglas C. Wallace. (2004). Mitochondrial DNA‐like sequences in the nucleus (NUMTs): Insights into our African origins and the mechanism of foreign DNA integration. Human Mutation. 23(2). 125–133. 108 indexed citations
8.
Ruiz‐Pesini, Eduardo, Dan Mishmar, Martin Brandon, Vincent Procaccio, & Douglas C. Wallace. (2004). Effects of Purifying and Adaptive Selection on Regional Variation in Human mtDNA. Science. 303(5655). 223–226. 649 indexed citations breakdown →
9.
Mishmar, Dan, Eduardo Ruiz‐Pesini, Paweł Golik, et al.. (2002). Natural selection shaped regional mtDNA variation in humans. Proceedings of the National Academy of Sciences. 100(1). 171–176. 790 indexed citations breakdown →

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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