M.L. Haadsma

817 citations
33 papers · 558 · h-index 16

Impact in

Papers in

M.L. Haadsma

33 papers receiving 540 citations

Peers

M.L. Haadsma
Comparison fields: 5 of 50
  • Reproductive Medicine 198
  • Pediatrics, Perinatology and Child Health 264
  • Public Health, Environmental and Occupational Health 142
  • Obstetrics and Gynecology 15
  • Equine 2
Replace Andrea Buysse with:
Andrea Buysse Belgium
N.E.A. Vogel Netherlands
J. Salzmann France
K.J. Tobler United States
Rachel K. Ashby United States
K. Friol Germany
Gon Shoham Israel
Ellen M. Matulich United States
Rashmi Kudesia United States
Arnaud Reignier France
M.L. Haadsma relative to Andrea Buysse Belgium Andrea Buysse's profile →
Citations per field
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Andrea Buysse · 1×
Citations per year

Countries citing papers authored by M.L. Haadsma

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Haadsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Haadsma. 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 M.L. Haadsma. The network helps show where M.L. Haadsma may publish in the future.

Co-authors

The 25 scholars most cited alongside M.L. Haadsma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.L. Haadsma Line = papers co-authored together M.L. Haadsma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200779
2 200939
3 201336
4 201532
5 200931
6 201028
7 200927
8 201222
9 200321
10 200821
11 201119
12 200718
13 201318
14 201717
15 201016
16 201315
17 200815
18 201514
19 201313
20 201610

About M.L. Haadsma

M.L. Haadsma is a scholar working on Pediatrics, Perinatology and Child Health, Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 33 papers that have together received 558 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (10 papers), Prenatal Screening and Diagnostics (5 papers), Ovarian function and disorders (3 papers), Birth, Development, and Health (3 papers), Reproductive Health and Technologies (3 papers), Family Dynamics and Relationships (2 papers), Pregnancy and preeclampsia studies (2 papers) and Pregnancy and Medication Impact (1 paper). The work is most often cited by research in Reproductive Medicine (198 citations), Pediatrics, Perinatology and Child Health (264 citations), Public Health, Environmental and Occupational Health (142 citations), Obstetrics and Gynecology (15 citations) and Equine (2 citations). M.L. Haadsma has collaborated with scholars based in Netherlands, Germany and Denmark. Frequent co-authors include Mijna Hadders‐Algra, Henk Groen, M.J. Heineman, Jorien Seggers, Maas Jan Heineman, Annemieke Hoek, E.R. Groenewoud, A. Bukman, A. Hoek and Frank J. Broekmans. Their work appears in journals such as Human Reproduction, Reproductive BioMedicine Online, Fertility and Sterility, Early Human Development and Pediatric Research.

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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