David T. Vandermolen

555 citations
10 papers · 440 indexed · h-index 7

David T. Vandermolen

10 papers receiving 421 citations

Peers

David T. Vandermolen
Comparison fields: 5 of 48
  • Reproductive Medicine 309
  • Obstetrics and Gynecology 77
  • Public Health, Environmental and Occupational Health 283
  • Immunology 91
  • Endocrinology, Diabetes and Metabolism 52
Replace Bruno Mozzanega with:
Bruno Mozzanega Italy
Νικόλαος Πράπας Greece
Josef Z. Scott Canada
Nicole Fournet United States
Benjamin P. Christian United States
G.M. Masson United Kingdom
Afsaneh Mohammadzadeh Iran
Joyce Chai Hong Kong
San‐Nung Chen Taiwan
Demetrios Minaretzis Greece
David T. Vandermolen relative to Bruno Mozzanega Italy Bruno Mozzanega's profile →
Citations per field
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Bruno Mozzanega · 1×
Citations per year

Countries citing papers authored by David T. Vandermolen

Since Specialization
Citations

This map shows the geographic impact of David T. Vandermolen'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 David T. Vandermolen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Vandermolen more than expected).

Fields of papers citing papers by David T. Vandermolen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Vandermolen. 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 David T. Vandermolen. The network helps show where David T. Vandermolen may publish in the future.

Co-authorship network

The 15 scholars most cited alongside David T. Vandermolen, 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 David T. Vandermolen Line = papers co-authored together David T. Vandermolen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20082
2 2001265
3 199930
4 199622
5 199643
6 199615
7 19964
8
Serum creatine kinase does not predict ectopic pregnancy.
199619
9 199237
10 19863

About David T. Vandermolen

David T. Vandermolen is a scholar working on Reproductive Medicine, Bioengineering, Immunology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology, having authored 10 papers that have together received 440 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (3 papers), Ectopic Pregnancy Diagnosis and Management (3 papers), Endometriosis Research and Treatment (3 papers), Muscle and Compartmental Disorders (2 papers), Ovarian function and disorders (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Estrogen and related hormone effects (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Reproductive Medicine (309 citations), Obstetrics and Gynecology (77 citations), Public Health, Environmental and Occupational Health (283 citations), Immunology (91 citations) and Endocrinology, Diabetes and Metabolism (52 citations). David T. Vandermolen has collaborated with scholars based in United States. Frequent co-authors include Scott W. Kauma, Dale W. Stovall, John E. Nestler, Valerie Ratts, William S. Evans, Yang Gu, Joseph F. Borzelleca, Bryan D. Cowan, Neil S. Whitworth and Victoria Bae‐Jump. Their work appears in journals such as Fertility and Sterility, American Journal of Reproductive Immunology, American Journal of Perinatology, American Journal of Obstetrics and Gynecology and American Journal of Physiology-Heart and Circulatory Physiology.

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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