Geralyn Lambert‐Messerlian

11.1k citations
200 papers · 8.0k indexed · 4 hit papers · h-index 43

Geralyn Lambert‐Messerlian

191 papers receiving 7.7k citations

Hit Papers

DNA sequencing of maternal plasma reliably identifies tri...3922005202620122019200400600

Peers

Geralyn Lambert‐Messerlian
Comparison fields: 5 of 132
  • Reproductive Medicine 2.1k
  • Obstetrics and Gynecology 1.7k
  • Pediatrics, Perinatology and Child Health 4.1k
  • Infectious Diseases 1.4k
  • Public Health, Environmental and Occupational Health 1.8k
Replace Jacob A. Canick with:
Jacob A. Canick United States
Dominique Luton France
Bradley J. Van Voorhis United States
Mark A. Morgan United States
Raoul Orvieto Israel
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Geralyn Lambert‐Messerlian relative to Jacob A. Canick United States Jacob A. Canick's profile →
Citations per field
00.5×3.3×
Jacob A. Canick · 1×
Citations per year

Countries citing papers authored by Geralyn Lambert‐Messerlian

Since Specialization
Citations

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

Fields of papers citing papers by Geralyn Lambert‐Messerlian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geralyn Lambert‐Messerlian. 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 Geralyn Lambert‐Messerlian. The network helps show where Geralyn Lambert‐Messerlian may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Geralyn Lambert‐Messerlian, 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 Geralyn Lambert‐Messerlian Line = papers co-authored together Geralyn Lambert‐Messerlian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20233
3 20179
4 20166
5 201559
6 201423
7 20131
8 20127
9 201118
10 201118
11 2011124
12 20109
13 20061
14 2006102
15 2005169
16 200517
17 20037
18 199620
19 199540
20 199426

About Geralyn Lambert‐Messerlian

Geralyn Lambert‐Messerlian is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 200 papers that have together received 8.0k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (80 papers), Parvovirus B19 Infection Studies (34 papers), Pregnancy and preeclampsia studies (34 papers), Ovarian function and disorders (32 papers), Reproductive Biology and Fertility (28 papers), TGF-β signaling in diseases (18 papers), Ovarian cancer diagnosis and treatment (17 papers) and Gestational Diabetes Research and Management (17 papers). The work is most often cited by research in Reproductive Medicine (2.1k citations), Obstetrics and Gynecology (1.7k citations) and Pediatrics, Perinatology and Child Health (4.1k citations). Geralyn Lambert‐Messerlian has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Jacob A. Canick, Glenn E. Palomaki, James E. Haddow, Edward M. Kloza, Fergal D. Malone, Mary E. D’Alton, Alan L. Schneyer, David B. Seifer, Louis M. Neveux and Diana W. Bianchi. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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