András Schaffer
- Immunology top 2%
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 12
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research 8
- Oncology top 10%
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- Lymphoma Diagnosis and Treatment 6
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 3
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- Fungal Infections and Studies 5
- Nonmelanoma Skin Cancer Studies 4
- Co-authors
- Paolo CasaliAndrea CeruttiHong ZanZe’ev A. RonaiLisa DolanVictor AdlerZongdong LiShefali Shah
- Cited by
- ImmunologyDermatologyOncology
- Journals
- The Journal of Immunology (6 papers)Journal of Cutaneous Pathology (4 papers)JAMA Dermatology (4 papers)
- Partner nations
- United StatesCubaSouth Korea
In The Last Decade
András Schaffer
41 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Immunology 1.1k
- Dermatology 253
- Oncology 422
- Pathology and Forensic Medicine 269
- Genetics 153
Countries citing papers authored by András Schaffer
This map shows the geographic impact of András Schaffer'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 András Schaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Schaffer more than expected).
Fields of papers citing papers by András Schaffer
This network shows the impact of papers produced by András Schaffer. 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 András Schaffer. The network helps show where András Schaffer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside András Schaffer, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2019 | 9 | |
| 4 | 2017 | 38 | |
| 5 | 2016 | 350 | |
| 6 | 2016 | 22 | |
| 7 | 2014 | 7 | |
| 8 | 2014 | 30 | |
| 9 | 2013 | 38 | |
| 10 | 2013 | 31 | |
| 11 | 2013 | 14 | |
| 12 | 2011 | 16 | |
| 13 | 2006 | 14 | |
| 14 | 2003 | 31 | |
| 15 | 2002 | 57 | |
| 16 | 2001 | 182 | |
| 17 | CD30 signaling negatively regulates CD40-induced immunoglobulin class switching in human B cells. A mechanism for preferential differentiation of antigen selected germinal center B cells | 1998 | 2 |
| 18 | 1998 | 62 | |
| 19 | 1998 | 181 | |
| 20 | 1995 | 200 |
About András Schaffer
András Schaffer is a scholar working on Dermatology, Immunology and Pathology and Forensic Medicine, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (12 papers), Cutaneous lymphoproliferative disorders research (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Fungal Infections and Studies (5 papers), Nonmelanoma Skin Cancer Studies (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (1.1k citations), Dermatology (253 citations) and Oncology (422 citations). András Schaffer has collaborated with scholars based in United States, Cuba and South Korea. Frequent co-authors include Paolo Casali, Andrea Cerutti, Hong Zan, Ze’ev A. Ronai, Lisa Dolan, Victor Adler, Zongdong Li, Shefali Shah, Leif Bergsagel and Nagaradona Harindranath. Their work appears in journals such as The Journal of Immunology, Journal of Cutaneous Pathology, JAMA Dermatology, Journal of Biological Chemistry and Journal of the American Academy of Dermatology.
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.