Frank E. Kwarcinski
Impact in
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Chemical Synthesis and Analysis
Papers in
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- Protein Kinase Regulation and GTPase Signaling 10
- Melanoma and MAPK Pathways 4
- Receptor Mechanisms and Signaling 3
- Glycosylation and Glycoproteins Research 2
- Protein Structure and Dynamics 2
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- Click Chemistry and Applications 2
- Quinazolinone synthesis and applications 2
- Co-authors
- Matthew B. Soellner (6 shared papers)Christel C. Fox (4 shared papers)Michael E. Steffey (4 shared papers)Gregory G. Tall (6 shared papers)Sameer Phadke (2 shared papers)Taylor K. Johnson (2 shared papers)Jennifer L. Meagher (1 shared paper)Markus A. Seeliger (1 shared paper)
- Journals
- ACS Chemical Biology (3 papers)Journal of Medicinal Chemistry (2 papers)ACS Medicinal Chemistry Letters (2 papers)Nature Communications (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Frank E. Kwarcinski
18 papers receiving 322 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 238
- Immunology and Allergy 17
- Computational Theory and Mathematics 49
- Hematology 26
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Frank E. Kwarcinski
This map shows the geographic impact of Frank E. Kwarcinski'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 Frank E. Kwarcinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank E. Kwarcinski more than expected).
Fields of papers citing papers by Frank E. Kwarcinski
This network shows the impact of papers produced by Frank E. Kwarcinski. 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 Frank E. Kwarcinski. The network helps show where Frank E. Kwarcinski may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank E. Kwarcinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 89 | |
| 2 | 2016 | 60 | |
| 3 | 2012 | 38 | |
| 4 | 2011 | 21 | |
| 5 | 2014 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2015 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2025 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Frank E. Kwarcinski
Frank E. Kwarcinski is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Oncology, having authored 19 papers that have together received 330 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Click Chemistry and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers), Quinazolinone synthesis and applications (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (238 citations), Immunology and Allergy (17 citations), Computational Theory and Mathematics (49 citations), Hematology (26 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Frank E. Kwarcinski has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Matthew B. Soellner, Christel C. Fox, Michael E. Steffey, Gregory G. Tall, Sameer Phadke, Taylor K. Johnson, Jennifer L. Meagher, Markus A. Seeliger, Makaía M. Papasergi-Scott and Kristoffer Brandvold. Their work appears in journals such as ACS Chemical Biology, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Nature Communications and Molecular Pharmacology.
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.