Dan A. Hanson

22 papers receiving 1.5k citations

Peers

Dan A. Hanson
Comparison fields: 5 of 128
  • Immunology and Allergy 361
  • Microbiology 94
  • Cell Biology 247
  • Immunology 203
  • Molecular Biology 655
Replace Arlene J. Hoogewerf with:
Arlene J. Hoogewerf United States
Agustı́n Valenzuela-Fernández Spain
Patricia Kahn Germany
Peter Lawrence Smith United States
Anne Junker Canada
Szabina Fodor Hungary
Gael G. McGill United States
Joanne T. Hom United States
Patricia J. Conrad United States
Karen Dunn United States
Dan A. Hanson relative to Arlene J. Hoogewerf United States Arlene J. Hoogewerf's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan A. Hanson

Since Specialization
Citations

This map shows the geographic impact of Dan A. 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 A. 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 A. Hanson more than expected).

Fields of papers citing papers by Dan A. Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008408
2 1997233
3 1999155
4 2006139
5 201194
6 200984
7 201265
8 201557
9 201252
10 200750
11 199748
12 201135
13 201328
14 201427
15 201422
16 201318
17 197715
18 200814
19 20137
20 20145

About Dan A. Hanson

Dan A. Hanson is a scholar working on Cancer Research, Immunology and Allergy, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), RNA modifications and cancer (3 papers), Cell Adhesion Molecules Research (3 papers), Genetic Syndromes and Imprinting (3 papers), CRISPR and Genetic Engineering (2 papers), Birth, Development, and Health (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Immunology and Allergy (361 citations), Microbiology (94 citations), Cell Biology (247 citations), Immunology (203 citations) and Molecular Biology (655 citations). Dan A. Hanson has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David D. Schlaepfer, Dusko Ilic, Michael R. Simonson, Charles Schlosser, Brian Carr, Thomas J. Goralski, Alan M. Krensky, Ssang‐Taek Lim, Peter Clayton and Yangmi Lim. Their work appears in journals such as Journal of Molecular Endocrinology, The American Journal of Human Genetics, Hormone Research in Paediatrics, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

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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