Chai‐Ni Chang

1.2k citations
7 papers · 525 · h-index 6

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Respiratory Support and Mechanisms
    • Respiratory and Cough-Related Research
    • Inhalation and Respiratory Drug Delivery

Papers in

Chai‐Ni Chang

7 papers receiving 502 citations

Peers

Chai‐Ni Chang
Comparison fields: 5 of 45
  • Genetics 130
  • Pulmonary and Respiratory Medicine 397
  • Physiology 299
  • Pathology and Forensic Medicine 130
  • Issues, ethics and legal aspects 8
Replace Martin Plaisance with:
Martin Plaisance Canada
C Day United Kingdom
S. Arthanari United Kingdom
P. Jane McDowell United Kingdom
Elena Treppo Italy
Outi Jauhola Finland
Nikhil Kamath United Kingdom
Monica Calderón-Goercke Spain
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Citations per field
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Citations per year

Countries citing papers authored by Chai‐Ni Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chai‐Ni Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2002383
2 201358
3 201639
4 201617
5 201613
6 201610
7 20155

About Chai‐Ni Chang

Chai‐Ni Chang is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 525 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Advanced Breast Cancer Therapies (1 paper), Asthma and respiratory diseases (1 paper), Respiratory Support and Mechanisms (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Genetics (130 citations), Pulmonary and Respiratory Medicine (397 citations), Physiology (299 citations), Pathology and Forensic Medicine (130 citations) and Issues, ethics and legal aspects (8 citations). Chai‐Ni Chang has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Julie Yates, Donald A. Mahler, Tushar Shah, Tracy Fischer, Donald H. Horstman, Ira Gupta, Sebastian Grosicki, Astrid McKeown, Tadeusz Robak and Ann Janssens. Their work appears in journals such as Blood, Acta Oncologica, American Journal of Hematology, American Journal of Respiratory and Critical Care Medicine and Leukemia & lymphoma.

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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