Tim Mierzwa

725 total citations
2 papers, 19 citations indexed

About

Tim Mierzwa is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Tim Mierzwa has authored 2 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Immunology. Recurrent topics in Tim Mierzwa's work include Computational Drug Discovery Methods (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). Tim Mierzwa is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). Tim Mierzwa collaborates with scholars based in United States, Denmark and Sweden. Tim Mierzwa's co-authors include Lu Chen, Sam Michael, Craig J. Thomas, Kelli M. Wilson, Rajarshi Guha, Carleen Klumpp‐Thomas, Paul Shinn, Marc Ferrer, Zina Itkin and Crystal McKnight and has published in prestigious journals such as Journal of Chemical Information and Modeling and Methods in molecular biology.

In The Last Decade

Tim Mierzwa

2 papers receiving 18 citations

Peers

Tim Mierzwa
James Scherschel United States
Tim Mierzwa
Citations per year, relative to Tim Mierzwa Tim Mierzwa (= 1×) peers James Scherschel

Countries citing papers authored by Tim Mierzwa

Since Specialization
Citations

This map shows the geographic impact of Tim Mierzwa'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 Tim Mierzwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Mierzwa more than expected).

Fields of papers citing papers by Tim Mierzwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Mierzwa. 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 Tim Mierzwa. The network helps show where Tim Mierzwa may publish in the future.

Co-authorship network of co-authors of Tim Mierzwa

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Mierzwa. A scholar is included among the top collaborators of Tim Mierzwa 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 Tim Mierzwa. Tim Mierzwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Zahoránszky-Köhalmi, Gergely, Vishal B. Siramshetty, Praveen Kumar, et al.. (2022). A Workflow of Integrated Resources to Catalyze Network Pharmacology Driven COVID-19 Research. Journal of Chemical Information and Modeling. 62(3). 718–729. 4 indexed citations
2.
Shinn, Paul, Lu Chen, Marc Ferrer, et al.. (2019). High-Throughput Screening for Drug Combinations. Methods in molecular biology. 1939. 11–35. 15 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026