Robert Magari

28 papers receiving 845 citations

Peers

Robert Magari
Comparison fields: 5 of 112
  • Transplantation 37
  • Agronomy and Crop Science 93
  • Plant Science 245
  • Immunology 122
  • Epidemiology 154
Replace K Poláková with:
K Poláková Slovakia
Grace J. Kim United States
Refik Gökmen United Kingdom
Gerben Marsman Netherlands
Dong‐Gyun Lim South Korea
Kyoko Sakai Japan
M. Lucrecia Alvarez United States
John H. Fitchen United States
Jessica H. Lee Australia
Jean‐Paul Dehoux Belgium
Robert Magari relative to K Poláková Slovakia K Poláková's profile →
Citations per field
00.5×9.1×
K Poláková · 1×
Citations per year

Countries citing papers authored by Robert Magari

Since Specialization
Citations

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

Fields of papers citing papers by Robert Magari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Magari, 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 Robert Magari Line = papers co-authored together Robert Magari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013155
2 2017143
3 2005101
4 201999
5 199350
6 199549
7 199945
8 199727
9 199624
10 199521
11 200220
12 199719
13 200817
14 200413
15 199713
16 200213
17 199412
18 202011
19 200711
20 201710

About Robert Magari

Robert Magari is a scholar working on Plant Science, Statistics, Probability and Uncertainty, Statistics and Probability, Safety, Risk, Reliability and Quality and Molecular Biology, having authored 29 papers that have together received 889 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (8 papers), Reliability and Maintenance Optimization (4 papers), Wheat and Barley Genetics and Pathology (4 papers), Crop Yield and Soil Fertility (3 papers), Sepsis Diagnosis and Treatment (3 papers), Statistical Methods in Clinical Trials (3 papers), Probabilistic and Robust Engineering Design (3 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Transplantation (37 citations), Agronomy and Crop Science (93 citations), Plant Science (245 citations), Immunology (122 citations) and Epidemiology (154 citations). Robert Magari has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Manjit S. Kang, Yudong Zhang, Liliana Tejidor, Diana Careaga, Joseph E. Parrillo, Christopher Seymour, David W. Hedley, Derek C. Angus, Elliott D. Crouser and James W. Jacobberger. Their work appears in journals such as Crop Science, Journal of Pharmaceutical and Biomedical Analysis, Cytometry Part B Clinical Cytometry, Agronomy Journal and Clinical Chemistry and Laboratory Medicine (CCLM).

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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