Laurel K. Willig

2.6k citations
15 papers · 731 · h-index 11

Impact in

  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • BRCA gene mutations in cancer
    • Pharmacogenetics and Drug Metabolism

Papers in

Laurel K. Willig

13 papers receiving 715 citations

Peers

Laurel K. Willig
Comparison fields: 5 of 79
  • Genetics 449
  • Pharmacology 74
  • Clinical Biochemistry 46
  • Pediatrics, Perinatology and Child Health 101
  • Cancer Research 75
Replace Julie A. Cakici with:
Julie A. Cakici United States
Josh E Petrikin United States
Suzanne Herd United States
Branka Zukić Serbia
Katharina Schwarze Germany
Rachel Lorier United States
Andrew Dellinger United States
Praful Aggarwal United States
Zhengyu Xue United States
María Santos Spain
Laurel K. Willig relative to Julie A. Cakici United States Julie A. Cakici's profile →
Citations per field
00.5×1.6×
Julie A. Cakici · 1×
Citations per year

Countries citing papers authored by Laurel K. Willig

Since Specialization
Citations

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

Fields of papers citing papers by Laurel K. Willig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurel K. Willig. 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 Laurel K. Willig. The network helps show where Laurel K. Willig may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015179
2 2018142
3 2015124
4 201690
5 201573
6 201525
7 201825
8 201620
9 202319
10 202113
11 202010
12 20186
13 20185
14 20250
15 20230

About Laurel K. Willig

Laurel K. Willig is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 15 papers that have together received 731 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (3 papers), Neonatal Respiratory Health Research (3 papers), Metabolism and Genetic Disorders (2 papers), Biomedical Research and Pathophysiology (1 paper), Polyomavirus and related diseases (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Genetics (449 citations), Pharmacology (74 citations), Clinical Biochemistry (46 citations), Pediatrics, Perinatology and Child Health (101 citations) and Cancer Research (75 citations). Laurel K. Willig has collaborated with scholars based in United States. Frequent co-authors include Stephen F. Kingsmore, Laurie D. Smith, Joshua E. Petrikin, Josh E Petrikin, Emily Farrow, Julie A. Cakici, Neil Miller, Suzanne Herd, Carol Saunders and Isabelle Thiffault. Their work appears in journals such as npj Genomic Medicine, Genome Medicine, Pediatric Research, Neurogenetics and Clinical Immunology.

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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