Alexander Chang

413 citations
16 papers · 251 · h-index 8

Impact in

    • Renal Transplantation Outcomes and Treatments
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Alexander Chang

11 papers receiving 247 citations

Peers

Alexander Chang
Comparison fields: 5 of 73
  • Transplantation 40
  • Immunology 94
  • Human-Computer Interaction 17
  • Obstetrics and Gynecology 23
  • Oncology 53
Replace Weihua Liu with:
Weihua Liu China
Shruti Mishra United States
Mai Chan Lau Singapore
Thomas M. C. Binder Germany
Qin L China
Lucy Findlay United Kingdom
Lauren Ryan United States
Jeffrey Waters United States
Kassondra Meyer United States
Alexander Chang relative to Weihua Liu China Weihua Liu's profile →
Citations per field
00.5×5.8×
Weihua Liu · 1×
Citations per year

Countries citing papers authored by Alexander Chang

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202162
2 202054
3 202036
4 201627
5 202124
6 202120
7 202110
8 202310
9 20076
10 20251
11 20101
12 20250
13 20250
14 20240
15 20250
16 20240

About Alexander Chang

Alexander Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Rheumatology and Immunology, having authored 16 papers that have together received 251 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Circular RNAs in diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Signaling Pathways in Disease (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Transplantation (40 citations), Immunology (94 citations), Human-Computer Interaction (17 citations), Obstetrics and Gynecology (23 citations) and Oncology (53 citations). Alexander Chang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jacob D. Durrant, Uma Chandran, Greg M. Delgoffe, Larry Kane, Andrea L. Szymczak-Workman, Lazar Vujanović, Aditi Kulkarni, Robert L. Ferris, Carmen Lefaucheur and Kévin Louis. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Medicine, Cell Death and Disease, Cell Reports and Nature Communications.

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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