Laurel K. Willig

2.6k citations
14 papers · 538 indexed · h-index 10

Impact in

  • Genetics top 5%
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • BRCA gene mutations in cancer
  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism

Papers in

Laurel K. Willig

12 papers receiving 527 citations

Peers

Laurel K. Willig
Comparison fields: 5 of 67
  • Genetics 359
  • Pharmacology 75
  • Clinical Biochemistry 55
  • Pediatrics, Perinatology and Child Health 113
  • Cancer Research 64
Replace Julie A. Cakici with:
Julie A. Cakici United States
Branka Zukić Serbia
Josh E Petrikin United States
Rachel Lorier United States
Matthew Zawistowski United States
Numrah Fadra United States
Laïla Zahed Lebanon
María Santos Spain
Yambazi Banda United States
Analabha Basu India
Laurel K. Willig relative to Julie A. Cakici United States Julie A. Cakici's profile →
Citations per field
00.5×2.8×
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-authorship network

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

14 of 14 papers shown
#Work
1 20250
2 202318
3 20230
4 202113
5 202010
6 201824
7 20186
8 2018137
9 20185
10 201689
11 201620
12 201525
13 201571
14 2015120

About Laurel K. Willig

Laurel K. Willig is a scholar working on Transplantation, Clinical Biochemistry, Genetics, Pediatrics, Perinatology and Child Health and Nephrology, having authored 14 papers that have together received 538 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (5 papers), Neonatal Respiratory Health Research (3 papers), Metabolism and Genetic Disorders (2 papers), Cancer Genomics and Diagnostics (2 papers), Genetic Syndromes and Imprinting (1 paper), Tuberous Sclerosis Complex Research (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Genetics (359 citations), Pharmacology (75 citations), Clinical Biochemistry (55 citations), Pediatrics, Perinatology and Child Health (113 citations) and Cancer Research (64 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, Neil Miller, Julie A. Cakici, J. Steven Leeder, Suzanne Herd and Carol Saunders. Their work appears in journals such as npj Genomic Medicine, Endocrinology, Neurogenetics, Seminars in Perinatology 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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