Dan Han

2.3k citations
54 papers · 1.8k · 2 hit papers · h-index 12

Impact in

Papers in

Dan Han

51 papers receiving 1.7k citations

Dan Han's Hit Papers

IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2 2012 · 532 citations
5320+5+11Years since publication200400600

Peers

Dan Han
Comparison fields: 5 of 116
  • Cell Biology 1.1k
  • Aging 37
  • Epidemiology 679
  • Biological Psychiatry 29
  • Geriatrics and Gerontology 41
Replace Hind Lal with:
Hind Lal United States
Rebeccah Riley United States
Sophia Havaki Greece
Dongqing Cai China
Melinda Snitow United States
Fenfen Liu Taiwan
Conrad C. Weihl United States
Zhanxiang Wang China
Stéphanie Decary France
Steven J. Mullett United States
Dan Han relative to Hind Lal United States Hind Lal's profile →
Citations per field
00.5×4.8×
Hind Lal · 1×
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 54 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 →
2009654
2
IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2
Hit paper breakdown →
2012532
3 2008149
4 2016110
5 200743
6 201836
7 202116
8 201916
9 202415
10 201515
11 201814
12 202012
13 202311
14 202310
15 20219
16 20218
17 20178
18 20167
19 20147
20
Radiation dose in coronary artery angiography with 320-detector row CT and its diagnostic accuracy: comparison with 64-detector row CT.
20117

About Dan Han

Dan Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Molecular Biology and Oncology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), RNA regulation and disease (4 papers), Radiation Dose and Imaging (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Lung Cancer Research Studies (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Cell Biology (1.1k citations), Aging (37 citations), Epidemiology (679 citations), Biological Psychiatry (29 citations) and Geriatrics and Gerontology (41 citations). Dan Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Feroz R. Papa, John-Paul Upton, Scott A. Oakes, Andrew Hagen, Bradley J. Backes, Alana G. Lerner, Weihong Xu, Lieselotte Vande Walle, Andrei Goga and Noelle E. Huskey. Their work appears in journals such as Radiation Oncology, Radiotherapy and Oncology, BMC Cancer, Frontiers in Immunology and Technology in Cancer Research & Treatment.

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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