P. Rieber
- Immunology top 1%
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 4
- Cancer Research top 2%
- Biochemistry top 2%
- Virology top 5%
- Biochemistry top 5%
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- Monoclonal and Polyclonal Antibodies Research 14
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- Virus-based gene therapy research 5
- Chronic Lymphocytic Leukemia Research 3
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- Glycosylation and Glycoproteins Research 3
- Co-authors
- Ralf SchreckPatrick A. BaeuerleGert RiethmüllerB. DörkenA. E. G. Kr. von dem BorneHenning SteinRonny SchmidtEugen Faist
- Journals
- Annals of Hematology (3 papers)Archives of Dermatological Research (3 papers)European Journal of Immunology (3 papers)
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
P. Rieber
35 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 1.5k
- Cancer Research 718
- Biochemistry 267
- Virology 168
- Biochemistry 162
Countries citing papers authored by P. Rieber
This map shows the geographic impact of P. Rieber'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 P. Rieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Rieber more than expected).
Fields of papers citing papers by P. Rieber
This network shows the impact of papers produced by P. Rieber. 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 P. Rieber. The network helps show where P. Rieber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. Rieber, 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 | Monoclonal anti-CD4 antibody MT310 binds HIV-1 gp120 gp120 binding site on CD4 | 2012 | 1 |
| 2 | 1996 | 12 | |
| 3 | 1995 | 9 | |
| 4 | 1994 | 11 | |
| 5 | 1993 | 11 | |
| 6 | 1993 | 15 | |
| 7 | 1991 | 0 | |
| 8 | 1991 | 11 | |
| 9 | 1991 | 7 | |
| 10 | 1989 | 23 | |
| 11 | 1989 | 110 | |
| 12 | 1989 | 87 | |
| 13 | 1989 | 164 | |
| 14 | 1988 | 15 | |
| 15 | 1987 | 1 | |
| 16 | 1986 | 6 | |
| 17 | 1985 | 69 | |
| 18 | 1984 | 32 | |
| 19 | 1981 | 27 | |
| 20 | 1981 | 50 |
About P. Rieber
P. Rieber is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Dermatology, having authored 36 papers that have together received 4.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Virus-based gene therapy research (5 papers), Immune Response and Inflammation (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Immunology (1.5k citations), Cancer Research (718 citations) and Biochemistry (267 citations). P. Rieber has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Ralf Schreck, Patrick A. Baeuerle, Gert Riethmüller, B. Dörken, A. E. G. Kr. von dem Borne, Henning Stein, Ronny Schmidt, Eugen Faist, Werner J. Pichler and Christopher C. Baker. Their work appears in journals such as Annals of Hematology, Archives of Dermatological Research, European Journal of Immunology, Journal of Autoimmunity 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.