Gemma C. Sharp

60 papers receiving 2.0k citations

Peers

Gemma C. Sharp
Comparison fields: 5 of 143
  • Obstetrics and Gynecology 383
  • Pediatrics, Perinatology and Child Health 649
  • Genetics 369
  • Modeling and Simulation 58
  • Infectious Diseases 233
Replace Luisa Zuccolo with:
Luisa Zuccolo United Kingdom
Janet D. Cragan United States
Jennifer L. Williams United States
Fernando Pires Hartwig Brazil
D C Skegg New Zealand
Rajesh Narwal United States
Hiroshi Yokomichi Japan
Ann Lambert United Kingdom
Siobhan M. Dolan United States
Katherine A. Ahrens United States
Gemma C. Sharp relative to Luisa Zuccolo United Kingdom Luisa Zuccolo's profile →
Citations per field
00.5×1.5×2.5×
Luisa Zuccolo · 1×
Citations per year

Countries citing papers authored by Gemma C. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Gemma C. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma C. Sharp. 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 Gemma C. Sharp. The network helps show where Gemma C. Sharp may publish in the future.

Co-authors

The 25 scholars most cited alongside Gemma C. Sharp, 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 Gemma C. Sharp Line = papers co-authored together Gemma C. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020464
2 2015194
3 2015144
4 201886
5 202176
6 201774
7 201669
8 201962
9 201961
10 201752
11 201849
12 202346
13 201943
14 202141
15 201839
16 201837
17 201737
18 201632
19 202023
20 202023

About Gemma C. Sharp

Gemma C. Sharp is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Health, Toxicology and Mutagenesis, Speech and Hearing and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Birth, Development, and Health (22 papers), Epigenetics and DNA Methylation (19 papers), Health, Environment, Cognitive Aging (17 papers), Cleft Lip and Palate Research (8 papers), Genetic Associations and Epidemiology (6 papers), Gestational Diabetes Research and Management (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers) and Craniofacial Disorders and Treatments (5 papers). The work is most often cited by research in Obstetrics and Gynecology (383 citations), Pediatrics, Perinatology and Child Health (649 citations), Genetics (369 citations), Modeling and Simulation (58 citations) and Infectious Diseases (233 citations). Gemma C. Sharp has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Caroline L. Relton, Debbie A. Lawlor, George Davey Smith, Kate Tilling, Gibran Hemani, Wendy L. McArdle, Rebecca C. Richmond, Susan M. Ring, Luisa Zuccolo and Tom R. Gaunt. Their work appears in journals such as International Journal of Epidemiology, Clinical Epigenetics, Human Molecular Genetics, Diabetologia and BMC Medicine.

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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