G E Conner
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
-
- Protease and Inhibitor Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 3
- Glycosylation and Glycoproteins Research 2
- Ion channel regulation and function 2
-
- Cellular transport and secretion 3
- Co-authors
- Günter Blobel (3 shared papers)Ann H. Erickson (1 shared paper)Yi Zhu (1 shared paper)Henry G. Kunkel (3 shared papers)David E. Fisher (2 shared papers)Westley H. Reeves (2 shared papers)Matthias Salathé (2 shared papers)D. S. Nelson (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (2 papers)American Journal of Respiratory and Critical Care Medicine (1 paper)Biochemical Journal (1 paper)Neuropeptides (1 paper)
- Partner nations
- United States
In The Last Decade
G E Conner
13 papers receiving 626 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 183
- Cancer Research 117
- Physiology 29
- Molecular Biology 416
- Physiology 131
Countries citing papers authored by G E Conner
This map shows the geographic impact of G E Conner'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 G E Conner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G E Conner more than expected).
Fields of papers citing papers by G E Conner
This network shows the impact of papers produced by G E Conner. 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 G E Conner. The network helps show where G E Conner may publish in the future.
Co-authors
The 21 scholars most cited alongside G E Conner, 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 | 1981 | 175 | |
| 2 | 1994 | 90 | |
| 3 | 1994 | 86 | |
| 4 | 1982 | 69 | |
| 5 | 1989 | 60 | |
| 6 | 1983 | 55 | |
| 7 | 1992 | 36 | |
| 8 | 1984 | 30 | |
| 9 | 1989 | 29 | |
| 10 | 2014 | 27 | |
| 11 | 1995 | 17 | |
| 12 | 1992 | 8 | |
| 13 | 1990 | 3 |
About G E Conner
G E Conner is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 685 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Cellular transport and secretion (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ion channel regulation and function (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Viral Infections and Immunology Research (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Systemic Sclerosis and Related Diseases (1 paper). The work is most often cited by research in Cell Biology (183 citations), Cancer Research (117 citations), Physiology (29 citations), Molecular Biology (416 citations) and Physiology (131 citations). G E Conner has collaborated with scholars based in United States. Frequent co-authors include Günter Blobel, Ann H. Erickson, Yi Zhu, Henry G. Kunkel, David E. Fisher, Westley H. Reeves, Matthias Salathé, D. S. Nelson, Rosanne Wisniewolski and R G Lahita. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, American Journal of Respiratory and Critical Care Medicine, Biochemical Journal and Neuropeptides.
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.