Dan Hanson

1.9k citations
20 papers · 1.4k · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA modifications and cancer 3
    • Genetics, Bioinformatics, and Biomedical Research 2
    • CRISPR and Genetic Engineering 2

Dan Hanson

19 papers receiving 1.3k citations

Peers

Dan Hanson
Comparison fields: 5 of 131
  • Immunology and Allergy 354
  • Microbiology 99
  • Cell Biology 257
  • Immunology 207
  • Molecular Biology 668
Replace Narcisa Martı́nez-Quiles with:
Narcisa Martı́nez-Quiles Spain
Vassiliki Labropoulou Greece
Maria Guttinger Italy
Mónica Gordón‐Alonso Spain
Roger H. Kennett United States
Harry Leung Canada
Deborah Palliser United States
Angelika Daser Germany
David Sheff United States
Rachid Marhaba Germany
Dan Hanson relative to Narcisa Martı́nez-Quiles Spain Narcisa Martı́nez-Quiles's profile →
Citations per field
00.5×2.6×
Narcisa Martı́nez-Quiles · 1×
Citations per year

Countries citing papers authored by Dan Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008397
2 1997228
3 1999142
4 2006132
5 201188
6 200981
7 201262
8 200749
9 201544
10 199743
11 201134
12 201427
13 201322
14 201317
15 20089
16 20136
17 20144
18
Electrophoretic High Molecular Weight DNA Purification Enables Optical Mapping
20131
19 19881
20
Highly Multiplexed Profiling of Low Abundance Tumor Mutations in Plasma.
20131

About Dan Hanson

Dan Hanson is a scholar working on Molecular Biology, Cancer Research, Genetics, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cell Adhesion Molecules Research (3 papers), Genetic Syndromes and Imprinting (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), RNA modifications and cancer (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Immunology and Allergy (354 citations), Microbiology (99 citations), Cell Biology (257 citations), Immunology (207 citations) and Molecular Biology (668 citations). Dan Hanson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David D. Schlaepfer, Ssang‐Taek Lim, Duško Ilić, Charles Schlosser, Michael Simonson, Thomas J. Goralski, Alan M. Krensky, Brian Carr, Yangmi Lim and Peter Clayton. Their work appears in journals such as The American Journal of Human Genetics, Journal of Molecular Endocrinology, Hormone Research in Paediatrics, Endocrine Connections and American Journal of Distance Education.

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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