John A. Tallarico
- Molecular Biology top 2%
- Organic Chemistry top 2%
- Oncology top 5%
- Computational Theory and Mathematics top 2%
- Cell Biology top 5%
- Co-authors
- Marc L. SnapperMarkus SchirleJeffrey M. McKennaDaniel K. NomuraScott M. BrittainTimothy J. MitchisonFeng YanMichele L. Randall
- Topics
- Protein Degradation and Inhibitors (13 papers)Ubiquitin and proteasome pathways (12 papers)Chemical Synthesis and Analysis (10 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
John A. Tallarico
48 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.6k
- Organic Chemistry 1.1k
- Oncology 589
- Computational Theory and Mathematics 306
- Cell Biology 296
Countries citing papers authored by John A. Tallarico
This map shows the geographic impact of John A. Tallarico'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 John A. Tallarico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Tallarico more than expected).
Fields of papers citing papers by John A. Tallarico
This network shows the impact of papers produced by John A. Tallarico. 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 John A. Tallarico. The network helps show where John A. Tallarico may publish in the future.
Co-authorship network of co-authors of John A. Tallarico
This figure shows the co-authorship network connecting the top 25 collaborators of John A. Tallarico. A scholar is included among the top collaborators of John A. Tallarico 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 John A. Tallarico. John A. Tallarico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Accelerating antiviral drug discovery: lessons from COVID-19breakdown → | 98 |
| 2 | 59 | |
| 3 | Rational Chemical Design of Molecular Glue Degradersbreakdown → | 103 |
| 4 | 114 | |
| 5 | 91 | |
| 6 | 94 | |
| 7 | 100 | |
| 8 | 31 | |
| 9 | 228 | |
| 10 | 294 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 76 | |
| 15 | 35 | |
| 16 | 208 | |
| 17 | 12 | |
| 18 | 266 | |
| 19 | 62 | |
| 20 | 99 |
About John A. Tallarico
John A. Tallarico is a scholar working on Organic Chemistry, Molecular Biology and Biophysics, having authored 48 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (13 papers), Ubiquitin and proteasome pathways (12 papers) and Chemical Synthesis and Analysis (10 papers). The work is most often cited by research in Biophysics (252 citations), Organic Chemistry (1.1k citations) and Molecular Biology (2.6k citations). John A. Tallarico has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Marc L. Snapper, Markus Schirle, Jeffrey M. McKenna, Daniel K. Nomura, Scott M. Brittain, Timothy J. Mitchison, Feng Yan, Michele L. Randall, Andreas Bender and Daniel Young. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.
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.