Kim Osman

1.9k total citations
33 papers, 1.3k citations indexed

About

Kim Osman is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Kim Osman has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Plant Science and 5 papers in Cell Biology. Recurrent topics in Kim Osman's work include Photosynthetic Processes and Mechanisms (16 papers), DNA Repair Mechanisms (15 papers) and Chromosomal and Genetic Variations (11 papers). Kim Osman is often cited by papers focused on Photosynthetic Processes and Mechanisms (16 papers), DNA Repair Mechanisms (15 papers) and Chromosomal and Genetic Variations (11 papers). Kim Osman collaborates with scholars based in United Kingdom, Austria and Spain. Kim Osman's co-authors include F. Chris H. Franklin, James D. Higgins, Susan J. Armstrong, Eugenio Sánchez‐Morán, Vernonica E. Franklin‐Tong, Ruth M. Perry, Christophe Lambing, Mónica Pradillo, Gareth H. Jones and Barend H. J. de Graaf and has published in prestigious journals such as Nature, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Kim Osman

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Osman United Kingdom 21 1.2k 921 155 139 104 33 1.3k
Christine Horlow France 19 1.7k 1.4× 1.3k 1.4× 281 1.8× 196 1.4× 138 1.3× 27 2.0k
Nathalie Vrielynck France 18 1.3k 1.1× 807 0.9× 185 1.2× 59 0.4× 82 0.8× 22 1.4k
Nicole Froger France 14 1.0k 0.9× 889 1.0× 112 0.7× 145 1.0× 154 1.5× 16 1.4k
Christophe Lambing United Kingdom 20 1.2k 1.0× 1.1k 1.1× 124 0.8× 32 0.2× 248 2.4× 30 1.5k
Mónica Pradillo Spain 20 995 0.8× 789 0.9× 147 0.9× 33 0.2× 117 1.1× 48 1.2k
Arnaud De Muyt France 17 1.1k 0.9× 511 0.6× 211 1.4× 41 0.3× 105 1.0× 18 1.3k
Yuki Hamamura Japan 19 1.6k 1.3× 1.5k 1.6× 127 0.8× 380 2.7× 69 0.7× 30 1.8k
Chloé Girard France 11 727 0.6× 536 0.6× 114 0.7× 72 0.5× 92 0.9× 17 892
Lucie Pereira France 9 825 0.7× 634 0.7× 103 0.7× 149 1.1× 127 1.2× 9 1.1k
Aurélie Chambon France 10 723 0.6× 456 0.5× 124 0.8× 23 0.2× 90 0.9× 18 831

Countries citing papers authored by Kim Osman

Since Specialization
Citations

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

Fields of papers citing papers by Kim Osman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Osman

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Osman. A scholar is included among the top collaborators of Kim Osman 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 Kim Osman. Kim Osman 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
1.
Osman, Kim, et al.. (2023). CONNECTING IN CAPE YORK: EXPLORING DIGITAL INCLUSION AND ACCESS FOR LOW INCOME INDIGENOUS FAMILIES. AoIR Selected Papers of Internet Research. 1 indexed citations
2.
Lambing, Christophe, Pallas Kuo, Kim Osman, et al.. (2022). Differentiated function and localisation of SPO11-1 and PRD3 on the chromosome axis during meiotic DSB formation in Arabidopsis thaliana. PLoS Genetics. 18(7). e1010298–e1010298. 9 indexed citations
3.
Osman, Kim, F. Chris H. Franklin, & Eugenio Sánchez‐Morán. (2022). Cytogenetic Techniques for Analyzing Meiosis in Hexaploid Bread Wheat. Methods in molecular biology. 2484. 71–84. 1 indexed citations
4.
Lambing, Christophe, Kim Osman, Susan J. Armstrong, et al.. (2021). Meiotic chromosome axis remodelling is critical for meiotic recombination inBrassica rapa. Journal of Experimental Botany. 72(8). 3012–3027. 18 indexed citations
5.
Tock, Andrew J., Daniel M. Holland, Wei Jiang, et al.. (2021). Crossover-active regions of the wheat genome are distinguished by DMC1, the chromosome axis, H3K27me3, and signatures of adaptation. Genome Research. 31(9). 1614–1628. 20 indexed citations
6.
Lambing, Christophe, Andrew J. Tock, Stephanie D. Topp, et al.. (2020). Interacting Genomic Landscapes of REC8-Cohesin, Chromatin, and Meiotic Recombination in Arabidopsis. The Plant Cell. 32(4). 1218–1239. 47 indexed citations
7.
Chambon, Aurélie, Daniel Vezon, Christine Horlow, et al.. (2018). Identification of ASYNAPTIC4, a Component of the Meiotic Chromosome Axis. PLANT PHYSIOLOGY. 178(1). 233–246. 49 indexed citations
8.
Martínez‐García, Marina, et al.. (2018). TOPII and chromosome movement help remove interlocks between entangled chromosomes during meiosis. The Journal of Cell Biology. 217(12). 4070–4079. 37 indexed citations
9.
Yang, Jianhua, Kim Osman, Mudassar Iqbal, et al.. (2013). Inferring the Brassica rapa Interactome Using Protein–Protein Interaction Data from Arabidopsis thaliana. Frontiers in Plant Science. 3. 297–297. 18 indexed citations
10.
Osman, Kim, Elisabeth Roitinger, Jianhua Yang, et al.. (2013). Analysis of Meiotic Protein Complexes from Arabidopsis and Brassica Using Affinity-Based Proteomics. Methods in molecular biology. 990. 215–226. 6 indexed citations
11.
Armstrong, Susan J. & Kim Osman. (2013). Immunolocalization of Meiotic Proteins in Arabidopsis thaliana: Method 2. Methods in molecular biology. 990. 103–107. 8 indexed citations
12.
Higgins, James D., Kim Osman, Christophe Lambing, et al.. (2012). Inter-Homolog Crossing-Over and Synapsis in Arabidopsis Meiosis Are Dependent on the Chromosome Axis Protein AtASY3. PLoS Genetics. 8(2). e1002507–e1002507. 140 indexed citations
13.
Osman, Kim, James D. Higgins, Eugenio Sánchez‐Morán, Susan J. Armstrong, & F. Chris H. Franklin. (2011). Pathways to meiotic recombination in Arabidopsis thaliana. New Phytologist. 190(3). 523–544. 162 indexed citations
14.
15.
Osman, Kim, et al.. (2009). Replication protein A (AtRPA1a) is required for class I crossover formation but is dispensable for meiotic DNA break repair. The EMBO Journal. 28(4). 394–404. 39 indexed citations
16.
Roberts, Nicola, Kim Osman, & Susan J. Armstrong. (2009). Telomere Distribution and Dynamics in Somatic and Meiotic Nuclei of <i>Arabidopsis thaliana</i>. Cytogenetic and Genome Research. 124(3-4). 193–201. 34 indexed citations
17.
Wheeler, Michael, Barend H. J. de Graaf, Ruth M. Perry, et al.. (2009). Identification of the pollen self-incompatibility determinant in Papaver rhoeas. Nature. 459(7249). 992–995. 157 indexed citations
18.
Sánchez‐Morán, Eugenio, Kim Osman, James D. Higgins, et al.. (2008). ASY1 coordinates early events in the plant meiotic recombination pathway. Cytogenetic and Genome Research. 120(3-4). 302–312. 39 indexed citations
19.
Graaf, Barend H. J. de, J. J. Rudd, Michael Wheeler, et al.. (2006). Self-incompatibility in Papaver targets soluble inorganic pyrophosphatases in pollen. Nature. 444(7118). 490–493. 70 indexed citations
20.
Rudd, J. J., Kim Osman, F. Chris H. Franklin, & Vernonica E. Franklin‐Tong. (2003). Activation of a putative MAP kinase in pollen is stimulated by the self‐incompatibility (SI) response. FEBS Letters. 547(1-3). 223–227. 38 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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