Alexander C. Huang
- Oncology top 1%
- Immunology top 0.5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Co-authors
- Roberta ZappasodiE. John WherrySasikanth ManneOmar KhanRavi K. AmaravadiLynn M. SchuchterKristen E. PaukenMakoto Kurachi
- Topics
- Cancer Immunotherapy and Biomarkers (21 papers)Immunotherapy and Immune Responses (18 papers)CAR-T cell therapy research (12 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Alexander C. Huang
38 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 2.6k
- Immunology 2.5k
- Molecular Biology 951
- Pulmonary and Respiratory Medicine 326
- Cancer Research 271
Countries citing papers authored by Alexander C. Huang
This map shows the geographic impact of Alexander C. Huang'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 C. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander C. Huang more than expected).
Fields of papers citing papers by Alexander C. Huang
This network shows the impact of papers produced by Alexander C. Huang. 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 C. Huang. The network helps show where Alexander C. Huang may publish in the future.
Co-authorship network of co-authors of Alexander C. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander C. Huang. A scholar is included among the top collaborators of Alexander C. Huang 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 Alexander C. Huang. Alexander C. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 47 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 32 | |
| 7 | 119 | |
| 8 | A decade of checkpoint blockade immunotherapy in melanoma: understanding the molecular basis for immune sensitivity and resistancebreakdown → | 364 |
| 9 | 77 | |
| 10 | 27 | |
| 11 | 96 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 63 | |
| 15 | 113 | |
| 16 | 183 | |
| 17 | 79 | |
| 18 | Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockadebreakdown → | 900 |
| 19 | Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockadebreakdown → | 804 |
| 20 | 135 |
About Alexander C. Huang
Alexander C. Huang is a scholar working on Immunology, Oncology and Biological Psychiatry, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (21 papers), Immunotherapy and Immune Responses (18 papers) and CAR-T cell therapy research (12 papers). The work is most often cited by research in Immunology (2.5k citations), Oncology (2.6k citations) and Cancer Research (271 citations). Alexander C. Huang has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Roberta Zappasodi, E. John Wherry, Sasikanth Manne, Omar Khan, Ravi K. Amaravadi, Lynn M. Schuchter, Kristen E. Pauken, Makoto Kurachi, Tara C. Mitchell and Bertram Bengsch. Their work appears in journals such as Science, Cell and Journal of Clinical Investigation.
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.