E. De la Mora

56 total papers · 1.4k total citations
20 papers, 754 citations indexed

About

E. De la Mora is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, E. De la Mora has authored 20 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pharmacology and 5 papers in Plant Science. Recurrent topics in E. De la Mora's work include Enzyme Structure and Function (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Metalloenzymes and iron-sulfur proteins (3 papers). E. De la Mora is often cited by papers focused on Enzyme Structure and Function (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Metalloenzymes and iron-sulfur proteins (3 papers). E. De la Mora collaborates with scholars based in France, United Kingdom and United States. E. De la Mora's co-authors include Elspeth F. Garman, Martin H. Weik, Ian Carmichael, Florian Nachon, Xavier Brazzolotto, Satish N. Dighe, Marie‐Odile Parat, Benjamin P. Ross, Girdhar Singh Deora and Michaël Wulff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

E. De la Mora

20 papers receiving 750 citations

Author Peers

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

Author						Papers	Cites
E. De la Mora	331	249	150	140	136	20	754
Hong Zeng	255 0.8×	102 0.4×	37 0.2×	103 0.7×	104 0.8×	21	772
Galen P. Miley	329 1.0×	203 0.8×	78 0.5×	28 0.2×	18 0.1×	10	863
Troy Wymore	421 1.3×	100 0.4×	62 0.4×	98 0.7×	31 0.2×	47	726
K. Ida	523 1.6×	85 0.3×	85 0.6×	159 1.1×	24 0.2×	19	627
Gisela Brändén	541 1.6×	51 0.2×	28 0.2×	132 0.9×	44 0.3×	29	758
Shigeki Arai	590 1.8×	68 0.3×	50 0.3×	305 2.2×	22 0.2×	44	829
Emma J. Murphy	437 1.3×	24 0.1×	113 0.8×	109 0.8×	24 0.2×	24	815
Ari M. Chow	347 1.0×	95 0.4×	33 0.2×	35 0.3×	29 0.2×	25	677
Takuma Kimura	272 0.8×	30 0.1×	134 0.9×	201 1.4×	36 0.3×	47	823
Yergalem T. Meharenna	453 1.4×	33 0.1×	39 0.3×	107 0.8×	70 0.5×	17	707

Countries citing papers authored by E. De la Mora

Since Specialization

Citations

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

Fields of papers citing papers by E. De la Mora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. De la Mora. 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 E. De la Mora. The network helps show where E. De la Mora may publish in the future.

Co-authorship network of co-authors of E. De la Mora

This figure shows the co-authorship network connecting the top 25 collaborators of E. De la Mora. A scholar is included among the top collaborators of E. De la Mora 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 E. De la Mora. E. De la Mora 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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