R. J. Hecker

590 total citations
58 papers, 408 citations indexed

About

R. J. Hecker is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, R. J. Hecker has authored 58 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in R. J. Hecker's work include Plant Disease Resistance and Genetics (26 papers), Plant Disease Management Techniques (23 papers) and Sugarcane Cultivation and Processing (18 papers). R. J. Hecker is often cited by papers focused on Plant Disease Resistance and Genetics (26 papers), Plant Disease Management Techniques (23 papers) and Sugarcane Cultivation and Processing (18 papers). R. J. Hecker collaborates with scholars based in United States, Australia and Spain. R. J. Hecker's co-authors include E. G. Ruppel, Phillip Fawell, Tony Jefferson, John Farrow, J. M. Lasa, I. Romagosa, K.J. Cavell, Brian W. Skelton, Leonard W. Panella and T. Tsuchiya and has published in prestigious journals such as Journal of Chromatography A, Journal of Applied Polymer Science and Crop Science.

In The Last Decade

R. J. Hecker

56 papers receiving 341 citations

Peers

R. J. Hecker
Comparison fields: 5 of 57
  • Plant Science 292
  • Molecular Biology 57
  • Ecology, Evolution, Behavior and Systematics 37
  • Cell Biology 35
  • Computational Mechanics 31
Replace Cheng Bai with:
Cheng Bai United States
H. J. Hopen United States
Rita de Cássia Pessotti United States
D.K. Cartwright United States
Carlos Casanova Spain
Seema Bedi India
Siegfried Strugger Germany
Yilin Zhou China
Yanlin Wang China
Ujjana B. Nandihalli United States
Cheng Bai United States View profile →
Citations per field, relative to R. J. Hecker
R. J. Hecker · 1×
Citations per year, relative to R. J. Hecker
R. J. Hecker · 1×

Countries citing papers authored by R. J. Hecker

Since Specialization
Citations

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

Fields of papers citing papers by R. J. Hecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. J. Hecker

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 4
3 3
4 1
5 2
6 10
7 1
8 3
9 1
10 1
11 6
12 6
13 1
14 8
15 1
16 3
17 8
18 2
19 1
20 4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026