Débora Trichez

36 total papers · 711 total citations
21 papers, 478 citations indexed

About

Débora Trichez is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Débora Trichez has authored 21 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Biomedical Engineering and 4 papers in Food Science. Recurrent topics in Débora Trichez's work include Biofuel production and bioconversion (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Fungal and yeast genetics research (8 papers). Débora Trichez is often cited by papers focused on Biofuel production and bioconversion (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Fungal and yeast genetics research (8 papers). Débora Trichez collaborates with scholars based in Brazil, France and Germany. Débora Trichez's co-authors include Boris U. Stambuk, Jean François, Thomas Walther, João Ricardo Moreira de Almeida, Sérgio L. Alves, Ceren Alkım, Luiz Cláudio Miletti, Philippe Besse, Amélie Vax and Pedro Soares De Araujo and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Débora Trichez

20 papers receiving 470 citations

Author Peers

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

Author						Papers	Cites
Débora Trichez	400	293	112	61	34	21	478
Flávio Alterthum	401 1.0×	320 1.1×	61 0.5×	43 0.7×	25 0.7×	22	532
Kiira S. Vuoristo	376 0.9×	158 0.5×	60 0.5×	47 0.8×	24 0.7×	14	507
E. Battat	469 1.2×	246 0.8×	71 0.6×	61 1.0×	39 1.1×	14	545
Hans‐Jürgen Rehm	313 0.8×	223 0.8×	58 0.5×	78 1.3×	27 0.8×	33	475
Olga de Smidt	287 0.7×	213 0.7×	145 1.3×	88 1.4×	35 1.0×	27	529
Cecilia Geijer	407 1.0×	235 0.8×	44 0.4×	88 1.4×	27 0.8×	21	509
Payam Ghiaci	410 1.0×	204 0.7×	96 0.9×	48 0.8×	12 0.4×	11	536
Shigehito Ikushima	417 1.0×	151 0.5×	52 0.5×	50 0.8×	21 0.6×	20	468
Deokyeol Jeong	300 0.8×	315 1.1×	66 0.6×	67 1.1×	25 0.7×	26	447
Tatiana Quinta Aguiar	347 0.9×	178 0.6×	43 0.4×	39 0.6×	22 0.6×	28	448

Countries citing papers authored by Débora Trichez

Since Specialization

Citations

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

Fields of papers citing papers by Débora Trichez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Débora Trichez. 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 Débora Trichez. The network helps show where Débora Trichez may publish in the future.

Co-authorship network of co-authors of Débora Trichez

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