Natacha Driessens

57 total papers · 652 total citations
16 papers, 447 citations indexed

About

Natacha Driessens is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Natacha Driessens has authored 16 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Natacha Driessens's work include Adrenal Hormones and Disorders (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Hormonal Regulation and Hypertension (4 papers). Natacha Driessens is often cited by papers focused on Adrenal Hormones and Disorders (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Hormonal Regulation and Hypertension (4 papers). Natacha Driessens collaborates with scholars based in Belgium, France and United States. Natacha Driessens's co-authors include Bernard Corvilain, Xavier De Deken, Françoise Miot, Vincent Detours, Soetkin Versteyhe, Agnès Burniat, F. Miot, Marie‐Christine Many, Maria José de Carvalho Costa and J.E. Dumont and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Natacha Driessens

13 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Natacha Driessens	202	181	56	47	42	16	447
Georgi Kirovski	197 1.0×	96 0.5×	61 1.1×	66 1.4×	26 0.6×	16	497
Vijay Chauthaiwale	224 1.1×	112 0.6×	71 1.3×	30 0.6×	23 0.5×	25	480
Markéta Kovářová	140 0.7×	165 0.9×	90 1.6×	35 0.7×	28 0.7×	23	545
Monika Paroder	224 1.1×	144 0.8×	40 0.7×	26 0.6×	62 1.5×	13	509
Maria Mavromati	150 0.7×	211 1.2×	56 1.0×	21 0.4×	32 0.8×	25	436
E Liong	178 0.9×	80 0.4×	37 0.7×	59 1.3×	39 0.9×	15	429
Sandra Mueller	190 0.9×	109 0.6×	37 0.7×	21 0.4×	20 0.5×	19	497
Noha A. Amin	262 1.3×	69 0.4×	31 0.6×	36 0.8×	64 1.5×	13	462
Marta Iruarrizaga‐Lejarreta	250 1.2×	66 0.4×	71 1.3×	60 1.3×	31 0.7×	22	508
Pengbo Wu	230 1.1×	89 0.5×	114 2.0×	47 1.0×	24 0.6×	22	468

Countries citing papers authored by Natacha Driessens

Since Specialization

Citations

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

Fields of papers citing papers by Natacha Driessens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natacha Driessens

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