Jon Kenniston
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Structural Biology top 10%
Papers in
- Genetics 9
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 8
-
- Signaling Pathways in Disease 2
- Heat shock proteins research 1
- Ubiquitin and proteasome pathways 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Tania A. Baker (5 shared papers)Robert T. Sauer (5 shared papers)Julio M. Fernández (1 shared paper)Mark A. Lemmon (2 shared papers)Randall E. Burton (2 shared papers)Robert A. Grant (1 shared paper)Daniel N. Bolon (1 shared paper)Briana M. Burton (1 shared paper)
- Journals
- Blood (3 papers)Journal of Allergy and Clinical Immunology (3 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Jon Kenniston
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Cell Biology 304
- Structural Biology 21
- Molecular Biology 772
- Genetics 249
- Genetics 63
Countries citing papers authored by Jon Kenniston
This map shows the geographic impact of Jon Kenniston'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 Jon Kenniston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Kenniston more than expected).
Fields of papers citing papers by Jon Kenniston
This network shows the impact of papers produced by Jon Kenniston. 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 Jon Kenniston. The network helps show where Jon Kenniston may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Kenniston, 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 | 2004 | 352 | |
| 2 | 2003 | 231 | |
| 3 | 2010 | 102 | |
| 4 | 2005 | 89 | |
| 5 | 2017 | 66 | |
| 6 | 2003 | 56 | |
| 7 | 2014 | 45 | |
| 8 | 2009 | 37 | |
| 9 | 2015 | 33 | |
| 10 | 2017 | 11 | |
| 11 | 2013 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2024 | 2 | |
| 17 | 2013 | 2 | |
| 18 | 2015 | 2 | |
| 19 | 2014 | 1 | |
| 20 | 2024 | 1 |
About Jon Kenniston
Jon Kenniston is a scholar working on Genetics, Molecular Biology, Hematology, Cell Biology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Cellular transport and secretion (4 papers), Hemophilia Treatment and Research (3 papers), Signaling Pathways in Disease (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Heat shock proteins research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (304 citations), Structural Biology (21 citations), Molecular Biology (772 citations), Genetics (249 citations) and Genetics (63 citations). Jon Kenniston has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tania A. Baker, Robert T. Sauer, Julio M. Fernández, Mark A. Lemmon, Randall E. Burton, Robert A. Grant, Daniel N. Bolon, Briana M. Burton, Shilpa A. Joshi and Igor Levchenko. Their work appears in journals such as Blood, Journal of Allergy and Clinical Immunology, Cell, Proceedings of the National Academy of Sciences and Analytical Biochemistry.
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.