Nina Maenhoudt

1.2k total citations · 1 hit paper
7 papers, 493 citations indexed

About

Nina Maenhoudt is a scholar working on Reproductive Medicine, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nina Maenhoudt has authored 7 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 2 papers in Oncology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nina Maenhoudt's work include Reproductive System and Pregnancy (2 papers), Endometriosis Research and Treatment (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Nina Maenhoudt is often cited by papers focused on Reproductive System and Pregnancy (2 papers), Endometriosis Research and Treatment (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Nina Maenhoudt collaborates with scholars based in Belgium, Austria and Argentina. Nina Maenhoudt's co-authors include Hugo Vankelecom, Gaël Castel, Harunobu Kagawa, Alok Javali, Alexandre Bruneau, Sophie Loubersac, Laurent David, Theresa Maria Sommer, Giovanni Sestini and Maria Novatchkova and has published in prestigious journals such as Nature, Human Reproduction and Stem Cell Reports.

In The Last Decade

Nina Maenhoudt

7 papers receiving 487 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human blastoids model blastocyst development and implantation

2021 294 citations Harunobu Kagawa, Alok Javali et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nina Maenhoudt Belgium	6	274	117	107	100	97	7	493
Halimeh Mobarak Iran	13	262 1.0×	80 0.7×	113 1.1×	23 0.2×	77 0.8×	20	424
A. Verloes Belgium	7	175 0.6×	54 0.5×	121 1.1×	48 0.5×	120 1.2×	7	357
Melissa J. Brayman United States	8	212 0.8×	111 0.9×	47 0.4×	52 0.5×	207 2.1×	9	449
Zhigang Zhao China	10	359 1.3×	16 0.1×	69 0.6×	45 0.5×	59 0.6×	30	494
Harunobu Kagawa Austria	9	392 1.4×	35 0.3×	85 0.8×	13 0.1×	59 0.6×	12	495
Carlos Wotzkow Switzerland	11	66 0.2×	164 1.4×	42 0.4×	53 0.5×	101 1.0×	17	363
Jean-Luc Squifflet Belgium	9	182 0.7×	142 1.2×	44 0.4×	120 1.2×	328 3.4×	29	553
Pavle Vrljicak United Kingdom	12	170 0.6×	319 2.7×	133 1.2×	26 0.3×	476 4.9×	20	696
Monika Mohenska Australia	5	253 0.9×	17 0.1×	63 0.6×	12 0.1×	31 0.3×	6	339
Yuliya Kremenska Japan	6	364 1.3×	38 0.3×	112 1.0×	16 0.2×	21 0.2×	6	482

Countries citing papers authored by Nina Maenhoudt

Since Specialization

Citations

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

Fields of papers citing papers by Nina Maenhoudt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Maenhoudt

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

All Works

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7 of 7 papers shown

1.

Hennes, Aurélie, Katrien De Clercq, Katharina Held, et al.. (2023). Protease secretions by the invading blastocyst induce calcium oscillations in endometrial epithelial cells via the protease-activated receptor 2. Reproductive Biology and Endocrinology. 21(1). 37–37. 8 indexed citations

2.

Zundert, Indra Van, et al.. (2022). Fluorescence Imaging of 3D Cell Models with Subcellular Resolution. BIO-PROTOCOL. 12(14). 5 indexed citations

3.

Maenhoudt, Nina, et al.. (2022). Modeling Endometrium Biology and Disease. Journal of Personalized Medicine. 12(7). 1048–1048. 16 indexed citations

4.

Kagawa, Harunobu, Alok Javali, Heidar Heidari Khoei, et al.. (2021). Human blastoids model blastocyst development and implantation. Nature. 601(7894). 600–605. 294 indexed citations breakdown →

5.

Maenhoudt, Nina & Hugo Vankelecom. (2021). Protocol for establishing organoids from human ovarian cancer biopsies. STAR Protocols. 2(2). 100429–100429. 20 indexed citations

6.

Maenhoudt, Nina, Anna Stejskalová, Burkhard Greve, et al.. (2021). The ellagic acid metabolites urolithin A and B differentially affect growth, adhesion, motility, and invasion of endometriotic cells in vitro. Human Reproduction. 36(6). 1501–1519. 18 indexed citations

7.

Maenhoudt, Nina, Matteo Boretto, Ruben Heremans, et al.. (2020). Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models. Stem Cell Reports. 14(4). 717–729. 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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