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
- Hemoglobin structure and function 2
-
- Heat shock proteins research 4
- Protein Structure and Dynamics 2
- Co-authors
- William J. Lennarz (8 shared papers)Tian Geng (2 shared papers)Hermann Schindelin (2 shared papers)Song Xiang (1 shared paper)Howard A. Kaplan (2 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)International Journal for Parasitology (1 paper)Seminars in Cell and Developmental Biology (1 paper)Academic Medicine (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Robert Noiva
19 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 986
- Biotechnology 197
- Molecular Biology 1.1k
- Physiology 62
- Immunology 268
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 | 306 | |
| 2 | 1992 | 284 | |
| 3 | 1999 | 233 | |
| 4 | 1988 | 149 | |
| 5 | 1995 | 128 | |
| 6 | 1993 | 113 | |
| 7 | 1994 | 90 | |
| 8 | 1991 | 72 | |
| 9 | 1999 | 68 | |
| 10 | 1994 | 63 | |
| 11 | 2002 | 52 | |
| 12 | 2006 | 35 | |
| 13 | 2003 | 31 | |
| 14 | 1991 | 15 | |
| 15 | 1990 | 9 | |
| 16 | 2006 | 9 | |
| 17 | 1987 | 6 | |
| 18 | 2000 | 4 | |
| 19 | 2020 | 3 |
About Robert Noiva
Robert Noiva is a scholar working on Cell Biology, Molecular Biology, Immunology, Biotechnology and Epidemiology, having authored 19 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), Insect and Pesticide Research (2 papers), Cellular transport and secretion (2 papers), Hemoglobin structure and function (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Cell Biology (986 citations), Biotechnology (197 citations), Molecular Biology (1.1k citations), Physiology (62 citations) and Immunology (268 citations). Robert Noiva has collaborated with scholars based in United States, Germany and India. Frequent co-authors include William J. Lennarz, Tian Geng, Hermann Schindelin, Song Xiang, Howard A. Kaplan, Robert B. Freedman, Hiram Gilbert, Michelle Lyles, Kunihiko Terada and Hugo O. Jauregui. Their work appears in journals such as Journal of Biological Chemistry, Cell, International Journal for Parasitology, Seminars in Cell and Developmental Biology 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.