Ronald Bartzatt

673 citations
79 papers · 565 · h-index 15

Impact in

Papers in

Ronald Bartzatt

72 papers receiving 518 citations

Peers

Ronald Bartzatt
Comparison fields: 5 of 117
  • Water Science and Technology 84
  • Electrochemistry 29
  • Organic Chemistry 109
  • Microbiology 21
  • Health, Toxicology and Mutagenesis 45
Replace Sabyasachi Chatterjee with:
Sabyasachi Chatterjee India
George Lunn United States
Ömür Acet Türkiye
Dibakar Goswami India
Hossein Attar Iran
A. Tanaka Japan
Helena S. Soedjak United States
Daniel Alejandro Barrio Argentina
Guiqin Yan China
J.E. Parkin Australia
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Citations per year

Countries citing papers authored by Ronald Bartzatt

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Bartzatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Ronald Bartzatt, 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 Ronald Bartzatt Line = papers co-authored together Ronald Bartzatt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201435
2 199234
3 198629
4 201126
5 200125
6 200123
7 200219
8 201718
9 200318
10 201017
11 198617
12 198516
13
Prediction of Novel Anti-Ebola Virus Compounds Utilizing Artificial Neural Network (ANN)
201815
14 199414
15 201214
16 200313
17 199212
18 200412
19 201311
20 200411

About Ronald Bartzatt

Ronald Bartzatt is a scholar working on Organic Chemistry, Infectious Diseases, Molecular Biology, Epidemiology and Computational Theory and Mathematics, having authored 79 papers that have together received 565 indexed citations. Recurring topics across this work include Synthesis and biological activity (15 papers), Computational Drug Discovery Methods (12 papers), Tuberculosis Research and Epidemiology (9 papers), Synthesis and Characterization of Heterocyclic Compounds (7 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Cancer therapeutics and mechanisms (6 papers), Advanced Chemical Sensor Technologies (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Water Science and Technology (84 citations), Electrochemistry (29 citations), Organic Chemistry (109 citations), Microbiology (21 citations) and Health, Toxicology and Mutagenesis (45 citations). Ronald Bartzatt has collaborated with scholars based in United States. Frequent co-authors include James D. Carr, Jeffrey D. Cirillo, Suat L. G. Cirillo, Donald Nagel, Linda S. Johnson, Martín Cano, Joe D. Beckmann, Gary A. Anderson, David J. Volsky and Maggie Bartlett. Their work appears in journals such as Drug Delivery, Biotechnology and Applied Biochemistry, Transition Metal Chemistry, Bioscience Reports and Analytica Chimica Acta.

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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