Anissa Chan
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune cells in cancer
- Immunology and Allergy top 5%
Papers in
-
- Cancer Research and Treatments 9
- Immunology 23
- Immune cells in cancer 11
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
- Co-authors
- Nandita BoseMichael E. DanielsonJohn P. VasilakosAndrew S. MageeHelen S. GoodridgeTamiko R. KatsumotoAndrea J. WolfJun Ma
- Journals
- Cancer Research (9 papers)The Journal of Immunology (4 papers)Cancer Immunology Research (4 papers)Journal of Clinical Oncology (2 papers)Blood (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Anissa Chan
35 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 664
- Immunology and Allergy 90
- Infectious Diseases 159
- Health Information Management 39
- Neurology 60
Countries citing papers authored by Anissa Chan
This map shows the geographic impact of Anissa Chan'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 Anissa Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anissa Chan more than expected).
Fields of papers citing papers by Anissa Chan
This network shows the impact of papers produced by Anissa Chan. 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 Anissa Chan. The network helps show where Anissa Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anissa Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 15 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 15 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 2 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 37 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 4 | |
| 10 | 2016 | 1 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 4 | |
| 13 | 2013 | 55 | |
| 14 | 2012 | 191 | |
| 15 | Activation of the innate immune receptor Dectin-1 upon formation of a ‘phagocytic synapse’ Hit paper breakdown → | 2011 | 652 |
| 16 | 2004 | 29 | |
| 17 | 2003 | 91 | |
| 18 | 2001 | 92 | |
| 19 | 1998 | 53 | |
| 20 | 1994 | 23 |
About Anissa Chan
Anissa Chan is a scholar working on Biotechnology, Immunology, Oncology, Biological Psychiatry and Immunology and Allergy, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune cells in cancer (11 papers), Cancer Research and Treatments (9 papers), Immunotherapy and Immune Responses (7 papers), Antifungal resistance and susceptibility (5 papers), Immune Cell Function and Interaction (5 papers), Peptidase Inhibition and Analysis (5 papers), T-cell and B-cell Immunology (5 papers) and Polysaccharides and Plant Cell Walls (4 papers). The work is most often cited by research in Immunology (664 citations), Immunology and Allergy (90 citations), Infectious Diseases (159 citations), Health Information Management (39 citations) and Neurology (60 citations). Anissa Chan has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Nandita Bose, Michael E. Danielson, John P. Vasilakos, Andrew S. Magee, Helen S. Goodridge, Tamiko R. Katsumoto, Andrea J. Wolf, Jun Ma, Christopher N. Reyes and Arthur Weiss. Their work appears in journals such as Cancer Research, The Journal of Immunology, Cancer Immunology Research, Journal of Clinical Oncology and Blood.
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.