Kyle E. Landgraf
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Virology top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 6
- Lipid Membrane Structure and Behavior 5
- Glycosylation and Glycoproteins Research 2
- Protein Degradation and Inhibitors 2
-
- Cellular transport and secretion 4
- Co-authors
- Joseph J. Falke (8 shared papers)John Corbin (2 shared papers)John H. Evans (1 shared paper)Gregory A. Voth (2 shared papers)Chun-Liang Lai (1 shared paper)Steven R. Williams (2 shared papers)David W. Martin (2 shared papers)Brian P. Ziemba (2 shared papers)
- Journals
- Biochemistry (5 papers)ACS Chemical Biology (1 paper)Nature Chemical Biology (1 paper)Protein Engineering Design and Selection (1 paper)Cell (1 paper)
- Partner nations
- United StatesPolandCanada
In The Last Decade
Kyle E. Landgraf
14 papers receiving 527 citations
Peers
Comparison fields: 5 of 63
- Cell Biology 140
- Virology 36
- Molecular Biology 390
- Oncology 94
- Hepatology 25
Countries citing papers authored by Kyle E. Landgraf
This map shows the geographic impact of Kyle E. Landgraf'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 Kyle E. Landgraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle E. Landgraf more than expected).
Fields of papers citing papers by Kyle E. Landgraf
This network shows the impact of papers produced by Kyle E. Landgraf. 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 Kyle E. Landgraf. The network helps show where Kyle E. Landgraf may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle E. Landgraf, 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 | 2007 | 87 | |
| 2 | 2008 | 80 | |
| 3 | 2019 | 75 | |
| 4 | 2010 | 49 | |
| 5 | 2020 | 40 | |
| 6 | 2008 | 40 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2012 | 19 | |
| 12 | 2012 | 19 | |
| 13 | 2010 | 16 | |
| 14 | 2009 | 4 |
About Kyle E. Landgraf
Kyle E. Landgraf is a scholar working on Molecular Biology, Cell Biology, Biophysics, Immunology and Oncology, having authored 14 papers that have together received 530 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Lipid Membrane Structure and Behavior (5 papers), Cellular transport and secretion (4 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Degradation and Inhibitors (2 papers), Liver physiology and pathology (2 papers), Electron Spin Resonance Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cell Biology (140 citations), Virology (36 citations), Molecular Biology (390 citations), Oncology (94 citations) and Hepatology (25 citations). Kyle E. Landgraf has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Joseph J. Falke, John Corbin, John H. Evans, Gregory A. Voth, Chun-Liang Lai, Steven R. Williams, David W. Martin, Brian P. Ziemba, Jianing Li and Jefferson D. Knight. Their work appears in journals such as Biochemistry, ACS Chemical Biology, Nature Chemical Biology, Protein Engineering Design and Selection and Cell.
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.