Emily Jackson-Machelski
- Molecular Biology top 10%
- Cell Biology top 5%
- Materials Chemistry
- Infectious Diseases top 10%
- Epidemiology
- Co-authors
- Jeffrey I. GordonS P AdamsL GlaserShad R. EubanksDwight A. TowlerJennifer K. LodgeCharles A. McWherterDena L. Toffaletti
- Topics
- Enzyme Structure and Function (9 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Protein Structure and Dynamics (4 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Emily Jackson-Machelski
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 928
- Cell Biology 373
- Materials Chemistry 323
- Infectious Diseases 181
- Epidemiology 177
Countries citing papers authored by Emily Jackson-Machelski
This map shows the geographic impact of Emily Jackson-Machelski'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 Emily Jackson-Machelski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Jackson-Machelski more than expected).
Fields of papers citing papers by Emily Jackson-Machelski
This network shows the impact of papers produced by Emily Jackson-Machelski. 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 Emily Jackson-Machelski. The network helps show where Emily Jackson-Machelski may publish in the future.
Co-authorship network of co-authors of Emily Jackson-Machelski
This figure shows the co-authorship network connecting the top 25 collaborators of Emily Jackson-Machelski. A scholar is included among the top collaborators of Emily Jackson-Machelski 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 Emily Jackson-Machelski. Emily Jackson-Machelski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Evaluation of methods for sequence analysis of highly repetitive DNA templates. | 4 |
| 2 | DNA SEQUENCING RESEARCH GROUP (DSRG) 2003—A GENERAL SURVEY OF CORE DNA SEQUENCING FACILITIES. | 3 |
| 3 | RESEARCH GROUP COMMITTEE REPORTS | 1 |
| 4 | 109 | |
| 5 | 37 | |
| 6 | 40 | |
| 7 | 38 | |
| 8 | 37 | |
| 9 | 19 | |
| 10 | 148 | |
| 11 | 23 | |
| 12 | 48 | |
| 13 | 28 | |
| 14 | 38 | |
| 15 | 4 | |
| 16 | 31 | |
| 17 | 224 | |
| 18 | 175 | |
| 19 | 215 |
About Emily Jackson-Machelski
Emily Jackson-Machelski is a scholar working on Cell Biology, Molecular Biology and Infectious Diseases, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Cell Biology (373 citations), Molecular Biology (928 citations) and Virology (56 citations). Emily Jackson-Machelski has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jeffrey I. Gordon, S P Adams, L Glaser, Shad R. Eubanks, Dwight A. Towler, Jennifer K. Lodge, Charles A. McWherter, Dena L. Toffaletti, Rajiv S. Bhatnagar and John R. Perfect. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and 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.