Chai‐Ni Chang

1.2k citations
8 papers · 665 · h-index 7

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Respiratory Support and Mechanisms
    • Respiratory and Cough-Related Research

Papers in

Chai‐Ni Chang

8 papers receiving 629 citations

Peers

Chai‐Ni Chang
Comparison fields: 5 of 55
  • Genetics 206
  • Pulmonary and Respiratory Medicine 381
  • Pathology and Forensic Medicine 144
  • Physiology 178
  • Issues, ethics and legal aspects 5
Replace Millie Wang with:
Millie Wang United Kingdom
Hans‐Joerg Fricke Germany
Fazıl Aydin Türkiye
Ki Sun Jung South Korea
Filomena Del Gaizo Italy
Vittorio Ruggero Zilioli Italy
Vincent Verschaeve Belgium
Fabrice Jardin France
Gene Saylors United States
Ghandi Damaj France
Chai‐Ni Chang relative to Millie Wang United Kingdom Millie Wang's profile →
Citations per field
00.5×2×4×6×8×9.6×
Millie Wang · 1×
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

8 of 8 papers shown
#Work
1 2002390
2 2015129
3 201357
4 201641
5 201620
6 201613
7 201610
8 20155

About Chai‐Ni Chang

Chai‐Ni Chang is a scholar working on Genetics, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Immunology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 665 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Lymphoblastic Leukemia research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Respiratory Support and Mechanisms (1 paper), Asthma and respiratory diseases (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Genetics (206 citations), Pulmonary and Respiratory Medicine (381 citations), Pathology and Forensic Medicine (144 citations), Physiology (178 citations) and Issues, ethics and legal aspects (5 citations). Chai‐Ni Chang has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Donald A. Mahler, Tracy Fischer, Donald H. Horstman, Tushar Shah, Julie Yates, Sebastian Grosicki, Ira Gupta, Astrid McKeown, Haleh Saber and Tadeusz Robak. Their work appears in journals such as Blood, Acta Oncologica, Clinical Cancer Research, American Journal of Hematology and American Journal of Respiratory and Critical Care Medicine.

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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