Jacqueline A. Sayer

14 total papers · 1.4k total citations
11 papers, 948 citations indexed

About

Jacqueline A. Sayer is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Geochemistry and Petrology. According to data from OpenAlex, Jacqueline A. Sayer has authored 11 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 6 papers in Health, Toxicology and Mutagenesis and 4 papers in Geochemistry and Petrology. Recurrent topics in Jacqueline A. Sayer's work include Chromium effects and bioremediation (6 papers), Heavy metals in environment (6 papers) and Geochemistry and Elemental Analysis (3 papers). Jacqueline A. Sayer is often cited by papers focused on Chromium effects and bioremediation (6 papers), Heavy metals in environment (6 papers) and Geochemistry and Elemental Analysis (3 papers). Jacqueline A. Sayer collaborates with scholars based in United Kingdom, Italy and Egypt. Jacqueline A. Sayer's co-authors include Geoffrey Michael Gadd, Christopher White, Samantha Raggett, Mohammed M. Gharieb, Stephen Hillier, Conor Watson, Janet Cotter-Howells and Martin Kierans and has published in prestigious journals such as Current Biology, FEMS Microbiology Reviews and Biology and Fertility of Soils.

In The Last Decade

Jacqueline A. Sayer

11 papers receiving 855 citations

Author Peers

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

Author Last Decade Papers Cites
Jacqueline A. Sayer 336 298 186 171 149 11 948
Jiguang Gu 284 0.8× 446 1.5× 172 0.9× 83 0.5× 68 0.5× 38 907
Christopher White 153 0.5× 286 1.0× 297 1.6× 204 1.2× 31 0.2× 26 1.1k
Maritxu Guiresse 324 1.0× 476 1.6× 163 0.9× 72 0.4× 28 0.2× 27 1.1k
Engy Ahmed 470 1.4× 99 0.3× 90 0.5× 65 0.4× 37 0.2× 6 914
Ernesto Micheletti 73 0.2× 158 0.5× 144 0.8× 93 0.5× 50 0.3× 8 1.1k
Badr Alaoui-Sossé 596 1.8× 222 0.7× 84 0.5× 40 0.2× 253 1.7× 40 1.2k
Yuk-Shan Wong 428 1.3× 474 1.6× 311 1.7× 102 0.6× 23 0.2× 28 1.2k
Chiara Alisi 231 0.7× 228 0.8× 154 0.8× 69 0.4× 56 0.4× 39 799
H. M. S. K. Herath 174 0.5× 259 0.9× 128 0.7× 140 0.8× 11 0.1× 21 1.2k
Götz Haferburg 161 0.5× 269 0.9× 273 1.5× 150 0.9× 12 0.1× 17 862

Countries citing papers authored by Jacqueline A. Sayer

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline A. Sayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline A. Sayer. 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 Jacqueline A. Sayer. The network helps show where Jacqueline A. Sayer may publish in the future.

Co-authorship network of co-authors of Jacqueline A. Sayer

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline A. Sayer. A scholar is included among the top collaborators of Jacqueline A. Sayer 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 Jacqueline A. Sayer. Jacqueline A. Sayer 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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