Ruben Papoian
- Immunology top 5%
- Molecular Biology
- Rheumatology top 5%
- Reproductive Medicine top 5%
- Oncology
- Co-authors
- Norman TalalJirayr R. RoubinianUrsula BoschertRao J. PillarisettyMarcin P. MyckoKrzysztof SelmajCedric S. RaineOttaviano Serlupi‐Crescenzi
- Topics
- Monoclonal and Polyclonal Antibodies Research (7 papers)Cell Adhesion Molecules Research (3 papers)T-cell and B-cell Immunology (3 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Ruben Papoian
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Immunology 538
- Molecular Biology 447
- Rheumatology 318
- Reproductive Medicine 179
- Oncology 178
Countries citing papers authored by Ruben Papoian
This map shows the geographic impact of Ruben Papoian'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 Ruben Papoian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Papoian more than expected).
Fields of papers citing papers by Ruben Papoian
This network shows the impact of papers produced by Ruben Papoian. 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 Ruben Papoian. The network helps show where Ruben Papoian may publish in the future.
Co-authorship network of co-authors of Ruben Papoian
This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Papoian. A scholar is included among the top collaborators of Ruben Papoian 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 Ruben Papoian. Ruben Papoian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 19 | |
| 3 | High Throughput and High Content Screening Capabilities of the University of Cincinnati Drug Discovery Center | 0 |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 31 | |
| 7 | 3 | |
| 8 | 134 | |
| 9 | 69 | |
| 10 | 115 | |
| 11 | 20 | |
| 12 | 27 | |
| 13 | 102 | |
| 14 | 114 | |
| 15 | 69 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 4 | |
| 19 | Immunological regulation of spontaneous antibodies to DNA and RNA. III. Early effects of neonatal thymectomy and splenectomy. | 11 |
| 20 | Immunological regulation of spontaneous antibodies to DNA and RNA. II. Sequential switch from IgM to IgG in NZB/NZW F1 mice. | 125 |
About Ruben Papoian
Ruben Papoian is a scholar working on Immunology and Allergy, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Cell Adhesion Molecules Research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (538 citations), Reproductive Medicine (179 citations) and Rheumatology (318 citations). Ruben Papoian has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Norman Talal, Jirayr R. Roubinian, Ursula Boschert, Rao J. Pillarisetty, Marcin P. Mycko, Krzysztof Selmaj, Cedric S. Raine, Ottaviano Serlupi‐Crescenzi, Michela Carbonatto and Marta Baiocchi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of 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.