Robert Noiva
Impact in
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
- Cell Biology 17
- Endoplasmic Reticulum Stress and Disease 16
- Cellular transport and secretion 2
-
- Heat shock proteins research 4
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
- Protein Structure and Dynamics 2
- Co-authors
- William J. Lennarz (9 shared papers)Hermann Schindelin (2 shared papers)Tian Geng (2 shared papers)Song Xiang (1 shared paper)Howard A. Kaplan (3 shared papers)Robert B. Freedman (1 shared paper)Hiram Gilbert (2 shared papers)Michelle Lyles (1 shared paper)
- Journals
- Journal of Biological Chemistry (9 papers)Cell (3 papers)Protein Expression and Purification (1 paper)Biochemical and Biophysical Research Communications (1 paper)Academic Medicine (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Robert Noiva
19 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Cell Biology 1.0k
- Biotechnology 207
- Molecular Biology 1.1k
- Physiology 62
- Immunology 267
Countries citing papers authored by Robert Noiva
This map shows the geographic impact of Robert Noiva'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 Robert Noiva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Noiva more than expected).
Fields of papers citing papers by Robert Noiva
This network shows the impact of papers produced by Robert Noiva. 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 Robert Noiva. The network helps show where Robert Noiva may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Noiva, 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 | 2006 | 322 | |
| 2 | 1992 | 291 | |
| 3 | 1999 | 239 | |
| 4 | 1988 | 156 | |
| 5 | 1995 | 132 | |
| 6 | 1993 | 115 | |
| 7 | 1994 | 92 | |
| 8 | 1991 | 74 | |
| 9 | 1999 | 72 | |
| 10 | 1994 | 66 | |
| 11 | 2002 | 51 | |
| 12 | 2006 | 35 | |
| 13 | 2003 | 31 | |
| 14 | 1991 | 15 | |
| 15 | 2006 | 12 | |
| 16 | 1990 | 9 | |
| 17 | 1987 | 6 | |
| 18 | 2000 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 1990 | 0 |
About Robert Noiva
Robert Noiva is a scholar working on Cell Biology, Molecular Biology, Biotechnology, Immunology and Epidemiology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (16 papers), Toxin Mechanisms and Immunotoxins (5 papers), Heat shock proteins research (4 papers), Transgenic Plants and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Cellular transport and secretion (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Cell Biology (1.0k citations), Biotechnology (207 citations), Molecular Biology (1.1k citations), Physiology (62 citations) and Immunology (267 citations). Robert Noiva has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include William J. Lennarz, Hermann Schindelin, Tian Geng, Song Xiang, Howard A. Kaplan, Robert B. Freedman, Hiram Gilbert, Michelle Lyles, Michael L. Schilsky and Hugo O. Jauregui. Their work appears in journals such as Journal of Biological Chemistry, Cell, Protein Expression and Purification, Biochemical and Biophysical Research Communications and Academic Medicine.
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.