R. M. Riedel

60 total papers · 895 total citations
51 papers, 697 citations indexed

About

R. M. Riedel is a scholar working on Plant Science, Cell Biology and Surgery. According to data from OpenAlex, R. M. Riedel has authored 51 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 9 papers in Cell Biology and 6 papers in Surgery. Recurrent topics in R. M. Riedel's work include Nematode management and characterization studies (19 papers), Plant Disease Management Techniques (9 papers) and Plant Pathogens and Fungal Diseases (9 papers). R. M. Riedel is often cited by papers focused on Nematode management and characterization studies (19 papers), Plant Disease Management Techniques (9 papers) and Plant Pathogens and Fungal Diseases (9 papers). R. M. Riedel collaborates with scholars based in United States, Germany and Japan. R. M. Riedel's co-authors include S. Kent Harrison, Manfrid Eltze, Ramarao Venkatesh, Wolfgang Simon, W. Krömer, Christian Schudt, R. C. Rowe, Stefan Postius, Terry A. Wheeler and L. V. Madden and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, BioScience and British Journal of Pharmacology.

In The Last Decade

R. M. Riedel

44 papers receiving 592 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. M. Riedel 340 147 87 80 79 51 697
Hua Yang 155 0.5× 230 1.6× 60 0.7× 44 0.6× 97 1.2× 56 782
M. Orsenigo 79 0.2× 318 2.2× 148 1.7× 30 0.4× 97 1.2× 57 599
Charles Schmidt 104 0.3× 113 0.8× 68 0.8× 57 0.7× 53 0.7× 42 614
N. W. Blackhall 331 1.0× 303 2.1× 112 1.3× 20 0.3× 86 1.1× 26 718
A. G. Johnson 369 1.1× 206 1.4× 17 0.2× 14 0.2× 39 0.5× 42 730
Meirong Zhang 128 0.4× 316 2.1× 74 0.9× 27 0.3× 9 0.1× 51 750
Zahid Ali 260 0.8× 228 1.6× 61 0.7× 16 0.2× 8 0.1× 43 612
Liying Wang 83 0.2× 423 2.9× 128 1.5× 19 0.2× 22 0.3× 32 686
Célia M. Antunes 36 0.1× 117 0.8× 104 1.2× 76 0.9× 149 1.9× 37 793
Xiaojing Li 154 0.5× 290 2.0× 21 0.2× 18 0.2× 29 0.4× 46 613

Countries citing papers authored by R. M. Riedel

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. M. Riedel. 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 R. M. Riedel. The network helps show where R. M. Riedel may publish in the future.

Co-authorship network of co-authors of R. M. Riedel

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

All Works

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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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