Kyle E. Landgraf
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Virology top 10%
Papers in
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- Protein Kinase Regulation and GTPase Signaling 6
- Lipid Membrane Structure and Behavior 5
- Protein Degradation and Inhibitors 2
- Glycosylation and Glycoproteins Research 2
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- 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)Brian P. Ziemba (2 shared papers)David W. Martin (2 shared papers)
- Journals
- Biochemistry (5 papers)Protein Engineering Design and Selection (1 paper)Journal of Biological Chemistry (1 paper)Journal of Molecular Biology (1 paper)Communications Biology (1 paper)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Kyle E. Landgraf
14 papers receiving 511 citations
Peers
Comparison fields: 5 of 62
- Cell Biology 141
- Virology 36
- Molecular Biology 387
- Oncology 92
- Hepatology 23
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 | 76 | |
| 3 | 2019 | 73 | |
| 4 | 2010 | 49 | |
| 5 | 2008 | 39 | |
| 6 | 2014 | 38 | |
| 7 | 2020 | 36 | |
| 8 | 2014 | 20 | |
| 9 | 2011 | 20 | |
| 10 | 2012 | 19 | |
| 11 | 2012 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2010 | 16 | |
| 14 | 2009 | 3 |
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 513 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), Protein Degradation and Inhibitors (2 papers), Electron Spin Resonance Studies (2 papers), Liver physiology and pathology (2 papers), CAR-T cell therapy research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cell Biology (141 citations), Virology (36 citations), Molecular Biology (387 citations), Oncology (92 citations) and Hepatology (23 citations). Kyle E. Landgraf has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Joseph J. Falke, John Corbin, John H. Evans, Gregory A. Voth, Chun-Liang Lai, Steven R. Williams, Brian P. Ziemba, David W. Martin, Warner C. Greene and Andrea Gramatica. Their work appears in journals such as Biochemistry, Protein Engineering Design and Selection, Journal of Biological Chemistry, Journal of Molecular Biology and Communications Biology.
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.