Serena Chang

1.2k citations
17 papers · 423 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • interferon and immune responses

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • CAR-T cell therapy research 4
    • Pancreatic and Hepatic Oncology Research 2
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3

Serena Chang

16 papers receiving 415 citations

Peers

Serena Chang
Comparison fields: 5 of 59
  • Hepatology 154
  • Immunology 235
  • Epidemiology 157
  • Oncology 100
  • Genetics 22
Replace Jun Cheng with:
Jun Cheng China
Ewa Terczyńska‐Dyla Denmark
Ron P. Gladue United States
Paula J. Biesta Netherlands
Mayumi Ueyama Japan
Zhi Q. Yao United States
Johan Siewiera France
Alaap B. Shah United States
Antony Chen United States
Lucy Golden-Mason United States
Serena Chang relative to Jun Cheng China Jun Cheng's profile →
Citations per field
00.5×1.5×
Jun Cheng · 1×
Citations per year

Countries citing papers authored by Serena Chang

Since Specialization
Citations

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

Fields of papers citing papers by Serena Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007168
2 200970
3 201954
4 200731
5 201430
6 201422
7 202017
8 20159
9 20147
10 20147
11 20233
12 20201
13 20211
14 20141
15 20201
16 20201
17 20230

About Serena Chang

Serena Chang is a scholar working on Oncology, Immunology, Hepatology, Molecular Biology and Epidemiology, having authored 17 papers that have together received 423 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Hepatitis C virus research (3 papers), Immune Cell Function and Interaction (3 papers), Hepatitis B Virus Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Hepatology (154 citations), Immunology (235 citations), Epidemiology (157 citations), Oncology (100 citations) and Genetics (22 citations). Serena Chang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Gyöngyi Szabó, Angela Dolganiuc, Karen Kodys, Holden T. Maecker, Holbrook E. Kohrt, Zachary C. Hartman, P. Kelly Marcom, Terry Hyslop, Kimberly Blackwell and Erika J. Crosby. Their work appears in journals such as Journal of Clinical Oncology, Hepatology, Cancer Research, Journal for ImmunoTherapy of Cancer and Clinical Cancer Research.

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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