Elizabeth H. Kellogg
- Molecular Biology top 5%
- Cell Biology top 1%
- Materials Chemistry top 10%
- Genetics top 10%
- Physiology
- Co-authors
- David BakerEva NogalesAndrew Leaver‐FayRui ZhangGabriel C. LanderGregory M. AlushinFrank DiMaioKenneth H. Downing
- Topics
- CRISPR and Genetic Engineering (11 papers)Protein Structure and Dynamics (8 papers)Microtubule and mitosis dynamics (8 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Elizabeth H. Kellogg
30 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.3k
- Cell Biology 764
- Materials Chemistry 360
- Genetics 308
- Physiology 186
Countries citing papers authored by Elizabeth H. Kellogg
This map shows the geographic impact of Elizabeth H. Kellogg'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 Elizabeth H. Kellogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth H. Kellogg more than expected).
Fields of papers citing papers by Elizabeth H. Kellogg
This network shows the impact of papers produced by Elizabeth H. Kellogg. 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 Elizabeth H. Kellogg. The network helps show where Elizabeth H. Kellogg may publish in the future.
Co-authorship network of co-authors of Elizabeth H. Kellogg
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth H. Kellogg. A scholar is included among the top collaborators of Elizabeth H. Kellogg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elizabeth H. Kellogg. Elizabeth H. Kellogg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 52 | |
| 9 | 50 | |
| 10 | 24 | |
| 11 | 272 | |
| 12 | 20 | |
| 13 | 17 | |
| 14 | 151 | |
| 15 | High-Resolution Microtubule Structures Reveal the Structural Transitions in αβ-Tubulin upon GTP Hydrolysisbreakdown → | 504 |
| 16 | 163 | |
| 17 | 19 | |
| 18 | High-resolution mapping of protein sequence-function relationshipsbreakdown → | 384 |
| 19 | Structure prediction for CASP8 with all‐atom refinement using Rosettabreakdown → | 380 |
| 20 | 10 |
About Elizabeth H. Kellogg
Elizabeth H. Kellogg is a scholar working on Structural Biology, Cell Biology and Molecular Biology, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Protein Structure and Dynamics (8 papers) and Microtubule and mitosis dynamics (8 papers). The work is most often cited by research in Structural Biology (102 citations), Cell Biology (764 citations) and Molecular Biology (2.3k citations). Elizabeth H. Kellogg has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include David Baker, Eva Nogales, Andrew Leaver‐Fay, Rui Zhang, Gabriel C. Lander, Gregory M. Alushin, Frank DiMaio, Kenneth H. Downing, Jason J. Stephany and Stanley Fields. Their work appears in journals such as Nature, Science 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.