Dan Han

52 papers receiving 1.8k citations

Dan Han's Hit Papers

IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2 2012 · 537 citations
5370+5+11Years since publication200400600

Peers

Dan Han
Comparison fields: 5 of 114
  • Cell Biology 1.1k
  • Aging 37
  • Epidemiology 635
  • Geriatrics and Gerontology 38
  • Molecular Biology 658
Replace Rie Asada with:
Rie Asada Japan
Conrad C. Weihl United States
Anna Chiara Nascimbeni Italy
Heba I. Diab United States
Rebeccah Riley United States
Mariano Ubeda United States
J. Scott Pattison United States
Xing‐Ding Zhang China
Martin S. Denzel Germany
Jeong‐A Lim United States
Dan Han relative to Rie Asada Japan Rie Asada's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Han

Since Specialization
Citations

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

Fields of papers citing papers by Dan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IRE1α Kinase Activation Modes Control Alternate Endoribonuclease Outputs to Determine Divergent Cell Fates
Hit paper breakdown →
2009660
2
IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2
Hit paper breakdown →
2012537
3 2008151
4 2016113
5 200743
6 201836
7 202420
8 202116
9 201916
10 201515
11 202315
12 201815
13 202012
14 202311
15 20219
16 20179
17 20218
18 20207
19
Radiation dose in coronary artery angiography with 320-detector row CT and its diagnostic accuracy: comparison with 64-detector row CT.
20117
20 20147

About Dan Han

Dan Han is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Oncology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA regulation and disease (4 papers), Advanced X-ray and CT Imaging (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Lung Cancer Research Studies (3 papers), Digital Marketing and Social Media (3 papers), Occupational and environmental lung diseases (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Esophageal Cancer Research and Treatment (3 papers). The work is most often cited by research in Cell Biology (1.1k citations), Aging (37 citations), Epidemiology (635 citations), Geriatrics and Gerontology (38 citations) and Molecular Biology (658 citations). Dan Han has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Scott A. Oakes, Feroz R. Papa, John-Paul Upton, Andrew Hagen, Alana G. Lerner, Bradley J. Backes, Lieselotte Vande Walle, Weihong Xu, Michael T. McManus and Likun Wang. Their work appears in journals such as BMC Cancer, Radiation Oncology, Radiotherapy and Oncology, European Radiology Experimental and Dyes and Pigments.

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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