Dan Hanson

1.9k citations
21 papers · 1.5k · h-index 15

Impact in

Papers in

    • Ubiquitin and proteasome pathways 4
    • RNA modifications and cancer 3
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Mitochondrial Function and Pathology 2

Dan Hanson

21 papers receiving 1.4k citations

Peers

Dan Hanson
Comparison fields: 5 of 128
  • Immunology and Allergy 354
  • Microbiology 94
  • Cell Biology 241
  • Immunology 195
  • Molecular Biology 612
Replace Joseph M. Carroll with:
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Citations per field
00.5×3.8×
Joseph M. Carroll · 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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008403
2 1997230
3 1999162
4 2006138
5 201189
6 200981
7 201263
8 201552
9 200749
10 199749
11 201135
12 201427
13 201326
14 201317
15 197715
16 200813
17 20136
18 20144
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 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Genetic Syndromes and Imprinting (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cell Adhesion Molecules Research (3 papers), RNA modifications and cancer (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cellular Mechanics and Interactions (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Immunology and Allergy (354 citations), Microbiology (94 citations), Cell Biology (241 citations), Immunology (195 citations) and Molecular Biology (612 citations). Dan Hanson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David D. Schlaepfer, Michael Simonson, Charles Schlosser, Duško Ilić, Thomas J. Goralski, Alan M. Krensky, Brian Carr, Ssang‐Taek Lim, Yangmi Lim and Peter Clayton. Their work appears in journals such as Hormone Research in Paediatrics, The American Journal of Human Genetics, Journal of Molecular Endocrinology, Clinical Endocrinology and The Journal of 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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