Anna Erdei
Impact in
- Immunology top 0.5%
- Complement system in diseases
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Mast cells and histamine
- Immunology and Allergy top 2%
Papers in
- Immunology 106
- Complement system in diseases 71
- T-cell and B-cell Immunology 17
- Immunotherapy and Immune Responses 13
- Mast cells and histamine 11
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- Cell Adhesion Molecules Research 11
- Co-authors
- Zsuzsa Bajtay (42 shared papers)József Prechl (38 shared papers)Anthony J. Hodgson (2 shared papers)Ian W. Chubb (2 shared papers)Péter Somogyi (2 shared papers)Botond Penke (2 shared papers)Manfred Paul Dierich (11 shared papers)Noémi Sándor (16 shared papers)
In The Last Decade
Anna Erdei
162 papers receiving 5.6k citations
Anna Erdei's Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 2.6k
- Immunology and Allergy 205
- Cellular and Molecular Neuroscience 528
- Virology 132
- Rheumatology 231
Countries citing papers authored by Anna Erdei
This map shows the geographic impact of Anna Erdei'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 Anna Erdei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Erdei more than expected).
Fields of papers citing papers by Anna Erdei
This network shows the impact of papers produced by Anna Erdei. 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 Anna Erdei. The network helps show where Anna Erdei may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Erdei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) Hit paper breakdown → | 2019 | 817 |
| 2 | 1985 | 336 | |
| 3 | 1985 | 282 | |
| 4 | 1985 | 221 | |
| 5 | 2004 | 153 | |
| 6 | 2004 | 140 | |
| 7 | 2004 | 121 | |
| 8 | 1991 | 119 | |
| 9 | 2017 | 107 | |
| 10 | 1988 | 92 | |
| 11 | 2005 | 80 | |
| 12 | 2016 | 78 | |
| 13 | 2002 | 77 | |
| 14 | 2004 | 76 | |
| 15 | 1985 | 74 | |
| 16 | 2009 | 71 | |
| 17 | 2007 | 69 | |
| 18 | 1998 | 66 | |
| 19 | 2006 | 66 | |
| 20 | 1992 | 62 |
About Anna Erdei
Anna Erdei is a scholar working on Immunology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Virology and Rheumatology, having authored 165 papers that have together received 5.8k indexed citations. Recurring topics across this work include Complement system in diseases (71 papers), T-cell and B-cell Immunology (17 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Immunotherapy and Immune Responses (13 papers), Mast cells and histamine (11 papers), Cell Adhesion Molecules Research (11 papers), Systemic Lupus Erythematosus Research (8 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Immunology (2.6k citations), Immunology and Allergy (205 citations), Cellular and Molecular Neuroscience (528 citations), Virology (132 citations) and Rheumatology (231 citations). Anna Erdei has collaborated with scholars based in Hungary, Austria and Germany. Frequent co-authors include Zsuzsa Bajtay, József Prechl, Anthony J. Hodgson, Ian W. Chubb, Péter Somogyi, Botond Penke, Manfred Paul Dierich, Noémi Sándor, Thomas Friedrich Schulz and Fritz Melchers. Their work appears in journals such as Immunology Letters, Molecular Immunology, The Journal of Immunology, European Journal of Immunology and International Immunology.
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.