Eric L. Chang

13.6k citations
214 papers · 9.0k indexed · 5 hit papers · h-index 43

Eric L. Chang

202 papers receiving 8.8k citations

Hit Papers

Current approaches to the man...343200920262014202050010001.5k

Peers

Eric L. Chang
Comparison fields: 5 of 134
  • Genetics 3.6k
  • Pulmonary and Respiratory Medicine 5.5k
  • Radiation 1.4k
  • Oncology 2.7k
  • Radiology, Nuclear Medicine and Imaging 1.1k
Replace Pamela K. Allen with:
Pamela K. Allen United States
Dirk Rades Germany
C. Carrié France
Maria Werner‐Wasik United States
Shiao Y. Woo United States
Yuta Shibamoto Japan
William F. Regine United States
Umberto Ricardi Italy
Anca-Ligia Grosu Germany
Karin Dieckmann Austria
Eric L. Chang relative to Pamela K. Allen United States Pamela K. Allen's profile →
Citations per field
00.5×1.5×
Pamela K. Allen · 1×
Citations per year

Countries citing papers authored by Eric L. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Eric L. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20241
5 20241
6 20240
7 20210
8 202113
9 202113
10 20201
11 20206
12 20190
13 201911
14 201846
15
Prospective evaluation of target and spinal cord motion and dosimetric changes with respiration in spinal stereotactic body radiation therapy utilizing 4-D CT.
20163
16 201624
17 20151
18 201538
19 2005143
20 200390

About Eric L. Chang

Eric L. Chang is a scholar working on Genetics, Radiation, Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine, having authored 214 papers that have together received 9.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (100 papers), Brain Metastases and Treatment (85 papers), Management of metastatic bone disease (52 papers), Meningioma and schwannoma management (41 papers), Advanced Radiotherapy Techniques (33 papers), Lung Cancer Research Studies (28 papers), Spine and Intervertebral Disc Pathology (24 papers) and Spinal Fractures and Fixation Techniques (21 papers). The work is most often cited by research in Genetics (3.6k citations), Pulmonary and Respiratory Medicine (5.5k citations), Radiation (1.4k citations), Oncology (2.7k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Eric L. Chang has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Moshe Maor, Pamela K. Allen, Almon S. Shiu, Arjun Sahgal, Frederick F. Lang, Jeffrey S. Wefel, Christina A. Meyers, Simon S. Lo, David Kornguth and J. Michael Swint. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Neurosurgery, World Neurosurgery, Expert Review of Anticancer Therapy and Neuro-Oncology.

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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