W. Putt

1.7k citations
44 papers · 1.3k · h-index 20

Impact in

Papers in

    • RNA Research and Splicing 7
    • Congenital heart defects research 4
    • Epigenetics and DNA Methylation 3
    • Animal Genetics and Reproduction 6
    • Genetic and phenotypic traits in livestock 4
    • Genomic variations and chromosomal abnormalities 4

W. Putt

43 papers receiving 1.2k citations

Peers

W. Putt
Comparison fields: 5 of 88
  • Genetics 325
  • Developmental Neuroscience 44
  • Molecular Biology 696
  • Immunology and Allergy 52
  • Cell Biology 125
Replace Andrea Gashler with:
Andrea Gashler United States
Katrina Rothblum United States
Helena Ohlsson Sweden
S L Fitzpatrick United States
Victoriano Baladrón Spain
Patricia G. Wilson United States
Marie‐Odile Ott France
Susan M. Carroll United States
Cornelieke Pals Netherlands
Gwendolyn Spizz United States
W. Putt relative to Andrea Gashler United States Andrea Gashler's profile →
Citations per field
00.5×1.5×2.2×
Andrea Gashler · 1×
Citations per year

Countries citing papers authored by W. Putt

Since Specialization
Citations

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

Fields of papers citing papers by W. Putt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987199
2 200599
3 199778
4 200474
5 199071
6 198968
7 199665
8 198857
9 199247
10 200642
11 200140
12 200135
13 199532
14 200832
15 197631
16 199328
17 198327
18 197727
19 201023
20 199523

About W. Putt

W. Putt is a scholar working on Molecular Biology, Genetics, Surgery, Genetics and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Animal Genetics and Reproduction (6 papers), Pancreatic function and diabetes (5 papers), Congenital heart defects research (4 papers), Genetic and phenotypic traits in livestock (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (325 citations), Developmental Neuroscience (44 citations), Molecular Biology (696 citations), Immunology and Allergy (52 citations) and Cell Biology (125 citations). W. Putt has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Yvonne H. Edwards, Steve E. Humphries, Philippa J. Talmud, Chris Barton, Frank S. Walsh, Stephen E. Moore, George Dickson, Hilary J. Gower, D. A. HOPKINSON and David Whitehouse. Their work appears in journals such as Annals of Human Genetics, Mammalian Genome, Human Molecular Genetics, Genomics and Proceedings of the National Academy of Sciences.

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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