Nina Maenhoudt

10 total papers · 1.2k total citations
7 papers, 478 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 478 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 Endometriosis Research and Treatment (2 papers), Cancer Cells and Metastasis (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Nina Maenhoudt is often cited by papers focused on Endometriosis Research and Treatment (2 papers), Cancer Cells and Metastasis (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Nina Maenhoudt collaborates with scholars based in Belgium, Germany and Austria. Nina Maenhoudt's co-authors include Hugo Vankelecom, Thomas Fréour, Alexandre Bruneau, Maria Novatchkova, Giovanni Sestini, Gaël Castel, Laurent David, Yvonne Scholte op Reimer, Alok Javali and Heidar Heidari Khoei and has published in prestigious journals such as Nature, Human Reproduction and Stem Cell Reports.

In The Last Decade

Nina Maenhoudt

7 papers receiving 471 citations

Hit Papers

Human blastoids model bla... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Nina Maenhoudt 266 115 106 100 94 7 478
Jasmine Hughes 134 0.5× 197 1.7× 123 1.2× 89 0.9× 247 2.6× 5 522
Jin Yun Chen 214 0.8× 272 2.4× 74 0.7× 122 1.2× 51 0.5× 7 502
Melissa J. Brayman 212 0.8× 111 1.0× 47 0.4× 52 0.5× 207 2.2× 9 448
Sophie Loubersac 369 1.4× 50 0.4× 148 1.4× 15 0.1× 61 0.6× 12 493
Harunobu Kagawa 382 1.4× 35 0.3× 83 0.8× 13 0.1× 57 0.6× 12 477
Jinxi Wang 103 0.4× 135 1.2× 73 0.7× 15 0.1× 218 2.3× 8 500
Neha Nayak 97 0.4× 85 0.7× 56 0.5× 25 0.3× 290 3.1× 8 447
Cecilia A. Ladines‐Llave 133 0.5× 146 1.3× 215 2.0× 69 0.7× 84 0.9× 12 466
Francisco Delgado-Rosas 105 0.4× 254 2.2× 122 1.2× 28 0.3× 116 1.2× 8 420
Daniel A. Schmitz 422 1.6× 26 0.2× 88 0.8× 12 0.1× 40 0.4× 7 492

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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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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