John A. Tallarico

11.0k total citations · 3 hit papers
48 papers, 3.5k citations indexed

About

John A. Tallarico is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, John A. Tallarico has authored 48 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 18 papers in Organic Chemistry and 9 papers in Oncology. Recurrent topics in John A. Tallarico's work include Protein Degradation and Inhibitors (13 papers), Ubiquitin and proteasome pathways (12 papers) and Chemical Synthesis and Analysis (10 papers). John A. Tallarico is often cited by papers focused on Protein Degradation and Inhibitors (13 papers), Ubiquitin and proteasome pathways (12 papers) and Chemical Synthesis and Analysis (10 papers). John A. Tallarico collaborates with scholars based in United States, Switzerland and China. John A. Tallarico's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.

In The Last Decade

John A. Tallarico

48 papers receiving 3.5k citations

Hit Papers

Discovery of a Covalent FEM1B Recruiter for Targeted Prot... 2022 2026 2023 2024 2022 2023 2023 40 80 120

Peers

John A. Tallarico
Comparison fields: 5 of 122
  • Molecular Biology 2.6k
  • Organic Chemistry 1.1k
  • Oncology 589
  • Computational Theory and Mathematics 306
  • Cell Biology 296
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Citations per field, relative to John A. Tallarico
John A. Tallarico · 1×
Citations per year, relative to John A. Tallarico
John A. Tallarico · 1×

Countries citing papers authored by John A. Tallarico

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# Work Indexed citations
1
Accelerating antiviral drug discovery: lessons from COVID-19 breakdown →
98
2 59
3
Rational Chemical Design of Molecular Glue Degraders breakdown →
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

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.

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