Jon Weil

2.2k citations
52 papers · 1.7k indexed · h-index 23

Impact in

  • Genetics top 2%
    • Bacterial Genetics and Biotechnology
    • BRCA gene mutations in cancer
  • Ecology top 5%
    • Bacteriophages and microbial interactions

Papers in

Jon Weil

51 papers receiving 1.6k citations

Peers

Jon Weil
Comparison fields: 5 of 116
  • Genetics 786
  • Ecology 557
  • Pediatrics, Perinatology and Child Health 244
  • Molecular Biology 836
  • Immunology 166
Replace Sérgio D. J. Pena with:
Sérgio D. J. Pena Brazil
Kevin M. Sullivan United States
Caroline Joyce Ireland
Elizabeth M. Tucker Slovakia
Sarah Williams‐Blangero United States
Sigrún Sigurðardóttir Iceland
Patrick Onyango Kenya
Barbara J. Harris United States
Jean‐Christophe Grenier Canada
Emilio García García Spain
Jon Weil relative to Sérgio D. J. Pena Brazil Sérgio D. J. Pena's profile →
Citations per field
00.5×4.4×
Sérgio D. J. Pena · 1×
Citations per year

Countries citing papers authored by Jon Weil

Since Specialization
Citations

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

Fields of papers citing papers by Jon Weil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Weil. 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 Jon Weil. The network helps show where Jon Weil may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968251
2 1983196
3 2000163
4 2003101
5 196897
6 197585
7 197475
8 196946
9 200144
10 200644
11
The effect of trisomy 21 on the patterns of polypeptide synthesis in human fibroblasts.
197938
12 197238
13 196837
14 198036
15 201734
16 198133
17 199331
18 196429
19 198228
20 197525

About Jon Weil

Jon Weil is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Ecology and General Health Professions, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (13 papers), Bacterial Genetics and Biotechnology (11 papers), BRCA gene mutations in cancer (8 papers), Prenatal Screening and Diagnostics (8 papers), Ethics and Legal Issues in Pediatric Healthcare (7 papers), Counseling Practices and Supervision (6 papers), Family and Disability Support Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Genetics (786 citations), Ecology (557 citations), Pediatrics, Perinatology and Child Health (244 citations), Molecular Biology (836 citations) and Immunology (166 citations). Jon Weil has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Ethan R. Signer, David Henderson, Lois B. Epstein, Charles J. Epstein, Theodore Homyk, J L Sabran, Sidney E. Grossberg, J. J. Sedmak, C. J. Epstein and Betty E. Terzaghi. Their work appears in journals such as Journal of Molecular Biology, Virology, Genetics, Evolution and Journal of Genetic Counseling.

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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