Jed Long
Impact in
- Epidemiology top 10%
- Autophagy in Disease and Therapy
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- Ubiquitin and proteasome pathways
- Chemical Synthesis and Analysis
Papers in
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- Ubiquitin and proteasome pathways 10
- Chemical Synthesis and Analysis 5
- RNA and protein synthesis mechanisms 3
- Oncology 9
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 4
- Co-authors
- Mark S. Searle (21 shared papers)Robert Layfield (21 shared papers)James R. Cavey (7 shared papers)Barry Shaw (7 shared papers)Paul W. Sheppard (3 shared papers)Thomas P. Garner (7 shared papers)Stuart H. Ralston (4 shared papers)Neil J. Oldham (7 shared papers)
- Journals
- Biochemistry (3 papers)Journal of Molecular Biology (3 papers)Journal of Biological Chemistry (2 papers)Angewandte Chemie International Edition (2 papers)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Jed Long
28 papers receiving 867 citations
Peers
Comparison fields: 5 of 82
- Epidemiology 292
- Molecular Biology 541
- Neurology 106
- Oncology 182
- Cell Biology 118
Countries citing papers authored by Jed Long
This map shows the geographic impact of Jed Long'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 Jed Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jed Long more than expected).
Fields of papers citing papers by Jed Long
This network shows the impact of papers produced by Jed Long. 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 Jed Long. The network helps show where Jed Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jed Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 130 | |
| 2 | 2016 | 120 | |
| 3 | 2009 | 84 | |
| 4 | 2006 | 63 | |
| 5 | 2008 | 44 | |
| 6 | 2020 | 35 | |
| 7 | 2012 | 32 | |
| 8 | 2021 | 32 | |
| 9 | 2012 | 29 | |
| 10 | 2011 | 28 | |
| 11 | 2014 | 24 | |
| 12 | 2011 | 23 | |
| 13 | 2014 | 23 | |
| 14 | 2006 | 23 | |
| 15 | 1999 | 23 | |
| 16 | 2011 | 21 | |
| 17 | 2011 | 20 | |
| 18 | 2012 | 18 | |
| 19 | 2011 | 17 | |
| 20 | 2012 | 15 |
About Jed Long
Jed Long is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Epidemiology and Cancer Research, having authored 28 papers that have together received 873 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Click Chemistry and Applications (6 papers), Autophagy in Disease and Therapy (6 papers), Chemical Synthesis and Analysis (5 papers), Cancer-related Molecular Pathways (4 papers), Peptidase Inhibition and Analysis (4 papers), RNA and protein synthesis mechanisms (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Epidemiology (292 citations), Molecular Biology (541 citations), Neurology (106 citations), Oncology (182 citations) and Cell Biology (118 citations). Jed Long has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mark S. Searle, Robert Layfield, James R. Cavey, Barry Shaw, Paul W. Sheppard, Thomas P. Garner, Stuart H. Ralston, Neil J. Oldham, Daniel Scott and Joanna Strachan. Their work appears in journals such as Biochemistry, Journal of Molecular Biology, Journal of Biological Chemistry, Angewandte Chemie International Edition and Organic & Biomolecular Chemistry.
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.