Marie V. Daugan

1.4k total citations
8 papers, 589 citations indexed

About

Marie V. Daugan is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Marie V. Daugan has authored 8 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Marie V. Daugan's work include Complement system in diseases (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Immune Cell Function and Interaction (2 papers). Marie V. Daugan is often cited by papers focused on Complement system in diseases (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Immune Cell Function and Interaction (2 papers). Marie V. Daugan collaborates with scholars based in France, Bulgaria and Romania. Marie V. Daugan's co-authors include Lubka T. Roumenina, Catherine Sautès‐Fridman, Wolf H. Fridman, Florent Petitprez, Vincent Boudy, Amélie Dufaÿ Wojcicki, Margot Revel, Nicolas S. Merle, Jordan D. Dimitrov and Tania Robe-Rybkine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Marie V. Daugan

8 papers receiving 577 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marie V. Daugan France	6	273	246	150	81	70	8	589
Xiaosheng Fang China	15	123 0.5×	300 1.2×	196 1.3×	57 0.7×	99 1.4×	69	661
Joyce J. B. C. van Beers Netherlands	9	254 0.9×	184 0.7×	66 0.4×	58 0.7×	40 0.6×	20	783
Tímea Besenyei Hungary	10	235 0.9×	225 0.9×	126 0.8×	88 1.1×	57 0.8×	12	753
Natalie Stickel Germany	9	184 0.7×	259 1.1×	95 0.6×	79 1.0×	46 0.7×	11	550
Peter Jindra United States	14	351 1.3×	214 0.9×	97 0.6×	77 1.0×	15 0.2×	39	966
Ning‐ning Shan China	15	203 0.7×	135 0.5×	86 0.6×	309 3.8×	100 1.4×	49	603
Łukasz Bołkuń Poland	14	158 0.6×	187 0.8×	160 1.1×	181 2.2×	111 1.6×	52	510
Masafumi Takimoto Japan	13	120 0.4×	213 0.9×	402 2.7×	99 1.2×	46 0.7×	40	815
Thomas T. Tapmeier United Kingdom	15	460 1.7×	220 0.9×	178 1.2×	23 0.3×	25 0.4×	23	873
Steven M. Bair United States	9	153 0.6×	415 1.7×	171 1.1×	103 1.3×	47 0.7×	22	671

Countries citing papers authored by Marie V. Daugan

Since Specialization

Citations

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

Fields of papers citing papers by Marie V. Daugan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie V. Daugan. 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 Marie V. Daugan. The network helps show where Marie V. Daugan may publish in the future.

Co-authorship network of co-authors of Marie V. Daugan

This figure shows the co-authorship network connecting the top 25 collaborators of Marie V. Daugan. A scholar is included among the top collaborators of Marie V. Daugan 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 Marie V. Daugan. Marie V. Daugan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Daugan, Marie V., Margot Revel, Laetitia Lacroix, et al.. (2021). Complement Detection in Human Tumors by Immunohistochemistry and Immunofluorescence. Methods in molecular biology. 2227. 191–203. 4 indexed citations

2.

May, Olivia, Laure Yatime, Nicolas S. Merle, et al.. (2020). The receptor for advanced glycation end products is a sensor for cell‐free heme. FEBS Journal. 288(11). 3448–3464. 22 indexed citations

3.

Revel, Margot, Marie V. Daugan, Catherine Sautès‐Fridman, Wolf H. Fridman, & Lubka T. Roumenina. (2020). Complement System: Promoter or Suppressor of Cancer Progression?. SHILAP Revista de lepidopterología. 9(4). 57–57. 78 indexed citations

4.

Radanova, Maria, et al.. (2020). Clinical and functional consequences of anti-properdin autoantibodies in patients with lupus nephritis. Clinical & Experimental Immunology. 201(2). 135–144. 4 indexed citations

5.

Roumenina, Lubka T., Marie V. Daugan, Florent Petitprez, Catherine Sautès‐Fridman, & Wolf H. Fridman. (2019). Context-dependent roles of complement in cancer. Nature reviews. Cancer. 19(12). 698–715. 250 indexed citations

6.

Merle, Nicolas S., Romain Paule, Juliette Léon, et al.. (2019). P-selectin drives complement attack on endothelium during intravascular hemolysis in TLR-4/heme-dependent manner. Proceedings of the National Academy of Sciences. 116(13). 6280–6285. 94 indexed citations

7.

Daugan, Marie V., Rémi Noé, Wolf H. Fridman, Catherine Sautès‐Fridman, & Lubka T. Roumenina. (2017). Le système du complément. médecine/sciences. 33(10). 871–877. 5 indexed citations

8.

Daugan, Marie V., et al.. (2016). Metformin: An anti-diabetic drug to fight cancer. Pharmacological Research. 113(Pt A). 675–685. 132 indexed citations

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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