Riva Eichner
Impact in
- Cell Biology top 0.5%
- Skin and Cellular Biology Research
- Dermatology top 5%
Papers in
- Cell Biology 15
- Skin and Cellular Biology Research 15
-
- Psoriasis: Treatment and Pathogenesis 3
- Co-authors
- Tung‐Tien Sun (6 shared papers)Ueli Aebi (5 shared papers)Andreas H. Engel (3 shared papers)William G. Nelson (3 shared papers)Janet Woodcock‐Mitchell (2 shared papers)Robert A Weiss (1 shared paper)Mikko Järvinen (1 shared paper)Joel Rosenbloom (3 shared papers)
- Journals
- The Journal of Cell Biology (4 papers)Archives of Biochemistry and Biophysics (2 papers)Journal of Investigative Dermatology (2 papers)British Journal of Dermatology (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Riva Eichner
20 papers receiving 2.1k citations
Riva Eichner's Hit Papers
Peers
Comparison fields: 5 of 83
- Cell Biology 1.3k
- Dermatology 130
- Urology 104
- Otorhinolaryngology 77
- Periodontics 51
Countries citing papers authored by Riva Eichner
This map shows the geographic impact of Riva Eichner'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 Riva Eichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riva Eichner more than expected).
Fields of papers citing papers by Riva Eichner
This network shows the impact of papers produced by Riva Eichner. 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 Riva Eichner. The network helps show where Riva Eichner may publish in the future.
Co-authors
The 20 scholars most cited alongside Riva Eichner, 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 antibody analysis of keratin expression in epidermal diseases: a 48- and 56-kdalton keratin as molecular markers for hyperproliferative keratinocytes. Hit paper breakdown → | 1984 | 516 |
| 2 | 1984 | 399 | |
| 3 | 1983 | 371 | |
| 4 | 1986 | 242 | |
| 5 | 1985 | 241 | |
| 6 | 1988 | 111 | |
| 7 | 1985 | 77 | |
| 8 | 1980 | 70 | |
| 9 | 1979 | 56 | |
| 10 | 1992 | 48 | |
| 11 | 1985 | 44 | |
| 12 | 1990 | 41 | |
| 13 | 1986 | 39 | |
| 14 | 1996 | 23 | |
| 15 | Using monoclonal antibodies. | 1982 | 18 |
| 16 | 1996 | 15 | |
| 17 | 2015 | 5 | |
| 18 | 1978 | 4 | |
| 19 | 2001 | 3 | |
| 20 | 1985 | 1 |
About Riva Eichner
Riva Eichner is a scholar working on Cell Biology, Immunology, Molecular Biology, Genetics and Pharmacology, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (15 papers), Retinoids in leukemia and cellular processes (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Dermatological and Skeletal Disorders (2 papers), Connective tissue disorders research (2 papers), RNA and protein synthesis mechanisms (1 paper), Elasticity and Material Modeling (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Cell Biology (1.3k citations), Dermatology (130 citations), Urology (104 citations), Otorhinolaryngology (77 citations) and Periodontics (51 citations). Riva Eichner has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Tung‐Tien Sun, Ueli Aebi, Andreas H. Engel, William G. Nelson, Janet Woodcock‐Mitchell, Robert A Weiss, Mikko Järvinen, Joel Rosenbloom, Andrew Huang and M. Lynch. Their work appears in journals such as The Journal of Cell Biology, Archives of Biochemistry and Biophysics, Journal of Investigative Dermatology, British Journal of Dermatology and Annals of the New York Academy of Sciences.
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.