Colin Kremitzki

3.7k total citations
8 papers, 662 citations indexed

About

Colin Kremitzki is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Colin Kremitzki has authored 8 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in Colin Kremitzki's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Chromosomal and Genetic Variations (5 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Colin Kremitzki is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Chromosomal and Genetic Variations (5 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Colin Kremitzki collaborates with scholars based in United States, Australia and United Kingdom. Colin Kremitzki's co-authors include Wesley C. Warren, Tina Graves, Amber E. Alsop, Tina Graves, David C. Page, Tatyana Pyntikova, Helen Skaletsky, Richard K. Wilson, Daniel W. Bellott and Janine E. Deakin and has published in prestigious journals such as Nature, Nature Genetics and Genome Research.

In The Last Decade

Colin Kremitzki

7 papers receiving 651 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Colin Kremitzki United States 6 507 290 289 80 40 8 662
Tina Graves United States 4 259 0.5× 163 0.6× 143 0.5× 48 0.6× 40 1.0× 4 355
Michihisa Toriba Japan 11 435 0.9× 150 0.5× 139 0.5× 108 1.4× 11 0.3× 26 552
Gabriel Marais United Kingdom 7 877 1.7× 600 2.1× 593 2.1× 181 2.3× 6 0.1× 8 1.2k
Valérie Fillon France 17 634 1.3× 449 1.5× 469 1.6× 25 0.3× 17 0.4× 44 946
Soochin Cho United States 13 284 0.6× 349 1.2× 80 0.3× 117 1.5× 74 1.9× 14 746
Svetlana Galkina Russia 13 367 0.7× 375 1.3× 403 1.4× 31 0.4× 4 0.1× 47 650
Vaishali Katju United States 19 619 1.2× 802 2.8× 418 1.4× 133 1.7× 9 0.2× 33 1.4k
Marta Farré United Kingdom 21 768 1.5× 638 2.2× 730 2.5× 80 1.0× 4 0.1× 50 1.1k
Mitsuaki Ogata Japan 12 322 0.6× 160 0.6× 85 0.3× 167 2.1× 14 0.3× 38 479
Camille Meslin France 15 211 0.4× 174 0.6× 134 0.5× 193 2.4× 3 0.1× 26 585

Countries citing papers authored by Colin Kremitzki

Since Specialization
Citations

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

Fields of papers citing papers by Colin Kremitzki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin Kremitzki

This figure shows the co-authorship network connecting the top 25 collaborators of Colin Kremitzki. A scholar is included among the top collaborators of Colin Kremitzki 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 Colin Kremitzki. Colin Kremitzki 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.
Kremitzki, Colin, Jason Waligorski, John Bramley, et al.. (2025). Pathogenic morphological signatures of perturbations in mitochondrial-related genes revealed by pooled imaging assay. PubMed. 3(1). 35–35.
2.
Bramley, John, Colin Kremitzki, Jason Waligorski, et al.. (2022). Pooled image-base screening of mitochondria with microraft isolation distinguishes pathogenic mitofusin 2 mutations. Communications Biology. 5(1). 1128–1128. 5 indexed citations
3.
Bellott, Daniel W., Helen Skaletsky, Laura Brown, et al.. (2017). Avian W and mammalian Y chromosomes convergently retained dosage-sensitive regulators. Nature Genetics. 49(3). 387–394. 119 indexed citations
4.
Bellott, Daniel W., Helen Skaletsky, Tatyana Pyntikova, et al.. (2010). Convergent evolution of chicken Z and human X chromosomes by expansion and gene acquisition. Nature. 466(7306). 612–616. 168 indexed citations
5.
Veyrunes, Frédéric, Paul D. Waters, Pat Miethke, et al.. (2008). Bird-like sex chromosomes of platypus imply recent origin of mammal sex chromosomes. Genome Research. 18(6). 965–973. 235 indexed citations
6.
Tsend‐Ayush, Enkhjargal, Julia Mohr, Aaron Casey, et al.. (2008). Higher-order genome organization in platypus and chicken sperm and repositioning of sex chromosomes during mammalian evolution. Chromosoma. 118(1). 53–69. 18 indexed citations
7.
Whittington, Camilla M., Anthony T. Papenfuss, Paramjit S. Bansal, et al.. (2008). Defensins and the convergent evolution of platypus and reptile venom genes. Genome Research. 18(6). 986–994. 102 indexed citations
8.
McMillan, Daniel A., Pat Miethke, Amber E. Alsop, et al.. (2007). Characterizing the chromosomes of the platypus (Ornithorhynchus anatinus). Chromosome Research. 15(8). 961–974. 15 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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