Ku-Lang Chang
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Hepatology top 10%
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Siegfried SchmidtGeorge SamrajKenneth CusiPierre BédossaK. HuberJohn MalatyNada FanousEddison Godinez Leiva
- Topics
- Respiratory and Cough-Related Research (2 papers)Emergency and Acute Care Studies (2 papers)Inhalation and Respiratory Drug Delivery (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareAnnals of Pharmacotherapy
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Ku-Lang Chang
10 papers receiving 279 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Epidemiology 216
- Endocrinology, Diabetes and Metabolism 118
- Hepatology 93
- Surgery 48
- Pathology and Forensic Medicine 38
Countries citing papers authored by Ku-Lang Chang
This map shows the geographic impact of Ku-Lang 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 Ku-Lang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ku-Lang Chang more than expected).
Fields of papers citing papers by Ku-Lang Chang
This network shows the impact of papers produced by Ku-Lang 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 Ku-Lang Chang. The network helps show where Ku-Lang Chang may publish in the future.
Co-authorship network of co-authors of Ku-Lang Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ku-Lang Chang. A scholar is included among the top collaborators of Ku-Lang Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ku-Lang Chang. Ku-Lang Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | Advanced Liver Fibrosis Is Common in Patients With Type 2 Diabetes Followed in the Outpatient Setting: The Need for Systematic Screeningbreakdown → | 231 |
| 5 | 0 | |
| 6 | 3 | |
| 7 | Novel Application of a Reverse Triage Protocol Providing Increased Access to Care in an Outpatient, Primary Care Clinic Setting. | 3 |
| 8 | Pharmacogenetics: Using Genetic Information to Guide Drug Therapy. | 19 |
| 9 | Screening for hereditary cancer syndromes. | 1 |
| 10 | 9 | |
| 11 | 11 |
About Ku-Lang Chang
Ku-Lang Chang is a scholar working on Occupational Therapy, Pharmacology and Emergency Medicine, having authored 11 papers that have together received 291 indexed citations. Recurring topics across this work include Respiratory and Cough-Related Research (2 papers), Emergency and Acute Care Studies (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Hepatology (93 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Epidemiology (216 citations). Ku-Lang Chang has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Siegfried Schmidt, George Samraj, Kenneth Cusi, Pierre Bédossa, K. Huber, John Malaty, Nada Fanous, Eddison Godinez Leiva, Romina Lomonaco and Danielle Poulton. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Annals of Pharmacotherapy.
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.