Katina I. Spanier

36 total papers · 3.2k total citations
15 papers, 807 citations indexed

About

Katina I. Spanier is a scholar working on Molecular Biology, Genetics and Nature and Landscape Conservation. According to data from OpenAlex, Katina I. Spanier has authored 15 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Nature and Landscape Conservation. Recurrent topics in Katina I. Spanier's work include Evolution and Genetic Dynamics (5 papers), Single-cell and spatial transcriptomics (4 papers) and Physiological and biochemical adaptations (3 papers). Katina I. Spanier is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Single-cell and spatial transcriptomics (4 papers) and Physiological and biochemical adaptations (3 papers). Katina I. Spanier collaborates with scholars based in Belgium, United Kingdom and United States. Katina I. Spanier's co-authors include Luc De Meester, Luisa Orsini, Stein Aerts, Gert Hulselmans, Johan Buyse, Caroline Souffreau, Zahra Geraylou, Gregory E. Maes, Christophe M. Courtin and E. Rurangwa and has published in prestigious journals such as Nature, Nature Communications and Nature Cell Biology.

In The Last Decade

Katina I. Spanier

15 papers receiving 802 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katina I. Spanier 332 214 140 133 107 15 807
Christina M.I. Råbergh 263 0.8× 458 2.1× 194 1.4× 87 0.7× 88 0.8× 16 930
Michael C. Schmale 208 0.6× 195 0.9× 142 1.0× 107 0.8× 219 2.0× 51 933
Marco Borra 275 0.8× 232 1.1× 54 0.4× 41 0.3× 44 0.4× 34 794
Amaury de Luze 178 0.5× 153 0.7× 140 1.0× 127 1.0× 61 0.6× 23 702
Violette Thermes 514 1.5× 114 0.5× 83 0.6× 215 1.6× 54 0.5× 21 872
Tina M. Weatherby 389 1.2× 326 1.5× 210 1.5× 45 0.3× 71 0.7× 22 925
Kenji Toyota 220 0.7× 252 1.2× 109 0.8× 310 2.3× 96 0.9× 51 1.0k
N. H. Mann 492 1.5× 301 1.4× 81 0.6× 58 0.4× 42 0.4× 20 792
Marcin W. Wojewodzic 220 0.7× 183 0.9× 138 1.0× 98 0.7× 12 0.1× 36 762
Kevin R. Uhlinger 257 0.8× 273 1.3× 17 0.1× 48 0.4× 97 0.9× 19 754

Countries citing papers authored by Katina I. Spanier

Since Specialization
Citations

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

Fields of papers citing papers by Katina I. Spanier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katina I. Spanier. 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 Katina I. Spanier. The network helps show where Katina I. Spanier may publish in the future.

Co-authorship network of co-authors of Katina I. Spanier

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

All Works

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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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