Stella Chang

906 citations
20 papers · 714 · h-index 13

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 4
    • Influenza Virus Research Studies 3
    • Cytomegalovirus and herpesvirus research 2

Stella Chang

20 papers receiving 695 citations

Peers

Stella Chang
Comparison fields: 5 of 78
  • Genetics 309
  • Transplantation 53
  • Pathology and Forensic Medicine 253
  • Immunology 264
  • Hematology 75
Replace Yunfeng Li with:
Yunfeng Li China
Marie‐Olivia Chandesris France
Nina Chevalier Germany
Peter Hillsamer United States
M Sasportes France
Chiara Buracchi Italy
A.D. Donnenberg United States
T Onuma Japan
M. M. Tongio France
A Zander Germany
Stella Chang relative to Yunfeng Li China Yunfeng Li's profile →
Citations per field
00.5×4.2×
Yunfeng Li · 1×
Citations per year

Countries citing papers authored by Stella Chang

Since Specialization
Citations

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

Fields of papers citing papers by Stella Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014192
2 2013159
3 200170
4 199751
5 200943
6 200333
7 199128
8 201023
9 200922
10 200020
11 201713
12 200812
13 198412
14 201111
15 20128
16 20005
17 20104
18 20083
19 20133
20 20142

About Stella Chang

Stella Chang is a scholar working on Immunology, Epidemiology, Genetics, Surgery and Molecular Biology, having authored 20 papers that have together received 714 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), Influenza Virus Research Studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Transplantation: Methods and Outcomes (2 papers), Nematode management and characterization studies (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Genetics (309 citations), Transplantation (53 citations), Pathology and Forensic Medicine (253 citations), Immunology (264 citations) and Hematology (75 citations). Stella Chang has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Betty Chang, Sarah E. M. Herman, Adrian Wiestner, Harvey A. Risch, Rashida Z. Mustafa, Stefania Pittaluga, Mohammed Farooqui, Charles Opperman, Oscar Salvatierra and Minnie Sarwal. Their work appears in journals such as Blood, Transplantation, Cancer, Biologicals and Journal of the American Society for Horticultural Science.

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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