Jo‐Anne de la Mare

50 total papers · 731 total citations
31 papers, 569 citations indexed

About

Jo‐Anne de la Mare is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Jo‐Anne de la Mare has authored 31 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Organic Chemistry and 12 papers in Oncology. Recurrent topics in Jo‐Anne de la Mare's work include Synthesis and Biological Evaluation (6 papers), Metal complexes synthesis and properties (6 papers) and Ferrocene Chemistry and Applications (5 papers). Jo‐Anne de la Mare is often cited by papers focused on Synthesis and Biological Evaluation (6 papers), Metal complexes synthesis and properties (6 papers) and Ferrocene Chemistry and Applications (5 papers). Jo‐Anne de la Mare collaborates with scholars based in South Africa, Australia and Brazil. Jo‐Anne de la Mare's co-authors include Adrienne L. Edkins, Denzil R. Beukes, Gregory L. Blatch, Setshaba D. Khanye, Irvin Noel Booysen, Mino R. Caira, Clinton G. L. Veale, Buhle Moyo, Omolaja Osoniyi and Eufrânio N. da Silva Júnior and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.

In The Last Decade

Jo‐Anne de la Mare

31 papers receiving 566 citations

Author Peers

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

Author						Papers	Cites
Jo‐Anne de la Mare	253	196	160	63	62	31	569
М.П. Завелевич	236 0.9×	157 0.8×	65 0.4×	29 0.5×	39 0.6×	46	509
Sandeep Jain	229 0.9×	134 0.7×	146 0.9×	51 0.8×	34 0.5×	29	559
Song Yi Bae	334 1.3×	66 0.3×	119 0.7×	85 1.3×	29 0.5×	29	623
Cun-Heng He	151 0.6×	270 1.4×	82 0.5×	31 0.5×	58 0.9×	21	565
Takayuki Yamazaki	389 1.5×	208 1.1×	66 0.4×	63 1.0×	12 0.2×	21	592
Yong-ju Liang	222 0.9×	177 0.9×	151 0.9×	30 0.5×	31 0.5×	19	537
Haiwei Xu	263 1.0×	74 0.4×	123 0.8×	42 0.7×	13 0.2×	27	507
Ying‐Hua Luo	329 1.3×	94 0.5×	65 0.4×	63 1.0×	122 2.0×	30	600
M.J. Alcaraz	180 0.7×	186 0.9×	29 0.2×	51 0.8×	49 0.8×	17	570
Edward M. Suh	287 1.1×	310 1.6×	75 0.5×	53 0.8×	37 0.6×	21	657

Countries citing papers authored by Jo‐Anne de la Mare

Since Specialization

Citations

This map shows the geographic impact of Jo‐Anne de la Mare'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 Jo‐Anne de la Mare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo‐Anne de la Mare more than expected).

Fields of papers citing papers by Jo‐Anne de la Mare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jo‐Anne de la Mare. 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 Jo‐Anne de la Mare. The network helps show where Jo‐Anne de la Mare may publish in the future.

Co-authorship network of co-authors of Jo‐Anne de la Mare

This figure shows the co-authorship network connecting the top 25 collaborators of Jo‐Anne de la Mare. A scholar is included among the top collaborators of Jo‐Anne de la Mare 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 Jo‐Anne de la Mare. Jo‐Anne de la Mare 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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