Jonathan Zarzar

467 citations
14 papers · 372 · h-index 9

Impact in

Papers in

Jonathan Zarzar

13 papers receiving 349 citations

Peers

Jonathan Zarzar
Comparison fields: 5 of 44
  • Fluid Flow and Transfer Processes 33
  • Molecular Biology 251
  • Radiology, Nuclear Medicine and Imaging 82
  • Physical and Theoretical Chemistry 38
  • Pharmaceutical Science 21
Replace Dheeraj S. Tomar with:
Dheeraj S. Tomar United States
Marco A. Blanco United States
Malgorzata B. Tracka United States
Brian M. Baynes United States
Curtiss P. Schneider United States
Masakazu Fukuda Japan
Matjaž Bončina Slovenia
Adeola O. Grillo United States
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Susan F. Chase United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Zarzar

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Zarzar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Zarzar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan Zarzar Line = papers co-authored together Jonathan Zarzar links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2015108
2 201360
3 202359
4 201138
5 202122
6 201019
7 202418
8 202217
9 201716
10 20247
11 20244
12 20253
13 20251
14 20260

About Jonathan Zarzar

Jonathan Zarzar is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Fluid Flow and Transfer Processes, Surfaces, Coatings and Films and Immunology, having authored 14 papers that have together received 372 indexed citations. Recurring topics across this work include Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Polymer Surface Interaction Studies (1 paper), Thermodynamic properties of mixtures (1 paper), Virus-based gene therapy research (1 paper), Advanced Polymer Synthesis and Characterization (1 paper), Rheology and Fluid Dynamics Studies (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (33 citations), Molecular Biology (251 citations), Radiology, Nuclear Medicine and Imaging (82 citations), Physical and Theoretical Chemistry (38 citations) and Pharmaceutical Science (21 citations). Jonathan Zarzar has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Isidro E. Zarraga, Yun Liu, Péter Falus, Norman Wagner, P. Douglas Godfrin, Lionel Porcar, Maniraj Bhagawati, Benjamin Weiche, Alavattam Sreedhara and Tarik A. Khan. Their work appears in journals such as mAbs, Journal of Pharmaceutical Sciences, Frontiers in Immunology, Pharmaceutical Research and Molecular Therapy.

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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