Sabrina Gordon-Keylock

22 total papers · 578 total citations
12 papers, 387 citations indexed

About

Sabrina Gordon-Keylock is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Sabrina Gordon-Keylock has authored 12 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Immunology. Recurrent topics in Sabrina Gordon-Keylock's work include Zebrafish Biomedical Research Applications (9 papers), Pluripotent Stem Cells Research (5 papers) and Immune cells in cancer (4 papers). Sabrina Gordon-Keylock is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Pluripotent Stem Cells Research (5 papers) and Immune cells in cancer (4 papers). Sabrina Gordon-Keylock collaborates with scholars based in United Kingdom, Germany and Australia. Sabrina Gordon-Keylock's co-authors include Alexander Medvinsky, Stanislav Rybtsov, Malgorzata Sobiesiak, Kate M. Moore, Rachel A. Ridgway, Owen J. Sansom, Davina Wojtacha, John P. Iredale, Adriana Rosa Gambardella and Thomas G. Bird and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Development.

In The Last Decade

Sabrina Gordon-Keylock

12 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Sabrina Gordon-Keylock 195 180 104 99 79 12 387
Takeshi Fujisaki 125 0.6× 92 0.5× 32 0.3× 63 0.6× 36 0.5× 13 341
Po-Chao Chan 277 1.4× 157 0.9× 76 0.7× 53 0.5× 15 0.2× 13 441
Candice Alexandra Grzelak 192 1.0× 53 0.3× 80 0.8× 45 0.5× 15 0.2× 10 418
Megan N. Thobe 265 1.4× 35 0.2× 124 1.2× 118 1.2× 22 0.3× 11 440
Iris Kufferath 262 1.3× 66 0.4× 31 0.3× 36 0.4× 13 0.2× 11 392
Agnes Csiszar 205 1.1× 32 0.2× 58 0.6× 106 1.1× 12 0.2× 12 421
Andrew F. Irvine 160 0.8× 44 0.2× 15 0.1× 126 1.3× 22 0.3× 10 393
Yiji Cheng 182 0.9× 52 0.3× 32 0.3× 79 0.8× 8 0.1× 13 365
Laura Chiu 225 1.2× 40 0.2× 11 0.1× 49 0.5× 26 0.3× 14 349
Hideaki Oe 203 1.0× 26 0.1× 103 1.0× 28 0.3× 16 0.2× 18 382

Countries citing papers authored by Sabrina Gordon-Keylock

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Gordon-Keylock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabrina Gordon-Keylock. 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 Sabrina Gordon-Keylock. The network helps show where Sabrina Gordon-Keylock may publish in the future.

Co-authorship network of co-authors of Sabrina Gordon-Keylock

This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Gordon-Keylock. A scholar is included among the top collaborators of Sabrina Gordon-Keylock 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 Sabrina Gordon-Keylock. Sabrina Gordon-Keylock 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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