Han Chang

1.1k total citations · 1 hit paper
13 papers, 840 citations indexed

About

Han Chang is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Han Chang has authored 13 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Immunology. Recurrent topics in Han Chang's work include Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Han Chang is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Han Chang collaborates with scholars based in United States, Germany and China. Han Chang's co-authors include David J. Riese, David F. Stern, U.J. McMahan, Walter Gilbert, Donald Jackson, F. Stephen Hodi, Jedd D. Wolchok, Anna C. Pavlick, Jason Chesney and Anita Giobbie‐Hurder and has published in prestigious journals such as Nature, PLoS ONE and Cancer Research.

In The Last Decade

Han Chang

13 papers receiving 832 citations

Hit Papers

MHC proteins confer differential sensitivity to CTLA-4 an... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Han Chang
Comparison fields: 5 of 66
  • Oncology 590
  • Immunology 326
  • Molecular Biology 320
  • Radiology, Nuclear Medicine and Imaging 115
  • Pulmonary and Respiratory Medicine 110
Replace Gabriel T. Chong with:
Gabriel T. Chong United States
Ganwei Lu United States
Xuemin Lu United States
Samudra K. Dissanayake United States
Theresa Lopez United States
Kelly Foley United States
Sara Jacob Canada
Chanan Rubin Israel
Lukas Bunse Germany
Chao Lin China
Gabriel T. Chong United States View profile →
Citations per field, relative to Han Chang
Han Chang · 1×
Citations per year, relative to Han Chang
Han Chang · 1×

Countries citing papers authored by Han Chang

Since Specialization
Citations

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

Fields of papers citing papers by Han Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Chang. A scholar is included among the top collaborators of Han Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Han Chang. Han Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 76
3 10
4 2
5 9
6 15
7 14
8
MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma breakdown →
408
9 21
10 19
11 23
12
3
13 239

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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