Daniel Chang

698 citations
34 papers · 475 · h-index 11

Impact in

Papers in

Daniel Chang

32 papers receiving 459 citations

Peers

Daniel Chang
Comparison fields: 5 of 68
  • Radiology, Nuclear Medicine and Imaging 111
  • Pulmonary and Respiratory Medicine 130
  • Surgery 144
  • Anesthesiology and Pain Medicine 14
  • Infectious Diseases 35
Replace Craig Coblentz with:
Craig Coblentz Canada
Jim W. Cheung United States
T Germanson United States
Salvatore Lavalle Italy
Miguel Mayo‐Yáñez Spain
Wende N. Gibbs United States
Chien-Chuan Chen Taiwan
Hebun Erdur Germany
Katherine Armstrong United States
Garth Essig United States
Daniel Chang relative to Craig Coblentz Canada Craig Coblentz's profile →
Citations per field
00.5×5.6×
Craig Coblentz · 1×
Citations per year

Countries citing papers authored by Daniel Chang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014130
2 201052
3 201039
4 201033
5 201127
6 201727
7 201827
8 200926
9 202423
10 200918
11 200915
12 20208
13 20128
14 20107
15 20177
16 20176
17
Association of KRAS mutational status and efficacy of panitumumab monotherapy for the treatment (tx) of metastatic colorectal cancer (mCRC): results of pooled data from 4 clinical studies.
20085
18 20242
19 20212
20 20241

About Daniel Chang

Daniel Chang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Neurology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 475 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (6 papers), Respiratory Support and Mechanisms (4 papers), Dementia and Cognitive Impairment Research (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), MRI in cancer diagnosis (2 papers), Pain Management and Opioid Use (2 papers), Medical Imaging Techniques and Applications (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (111 citations), Pulmonary and Respiratory Medicine (130 citations), Surgery (144 citations), Anesthesiology and Pain Medicine (14 citations) and Infectious Diseases (35 citations). Daniel Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Min‐Ying Su, Ke Nie, Orhan Nalcioğlu, Jeon‐Hor Chen, Leopold Arko, Vincent Nguyen, Bong Soo Kim, Vishad Sukul, Muqing Lin and Tzu‐Ching Shih. Their work appears in journals such as Medical Physics, Alzheimer s & Dementia, Stroke, Current Pain and Headache Reports and Neurosurgery.

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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