This map shows the geographic impact of J. C. Reeves'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 J. C. Reeves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. C. Reeves more than expected).
This network shows the impact of papers produced by J. C. Reeves. 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 J. C. Reeves. The network helps show where J. C. Reeves may publish in the future.
Co-authorship network of co-authors of J. C. Reeves
This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Reeves.
A scholar is included among the top collaborators of J. C. Reeves 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 J. C. Reeves. J. C. Reeves is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Reeves, J. C., et al.. (1999). PCR identification of Erwinia stewartii and its comparison with two other methods.. Seed Science and Technology. 27(1). 385–396.7 indexed citations
7.
Thomas, John E., et al.. (1998). The development of new diagnostic techniques and their role in improving treatment strategies for seed-borne diseases.. 787–792.2 indexed citations
8.
Brodal, Guro, et al.. (1997). Comparative tests with the osmotic blotter method for detection of Drechslera spp. in barley seeds.. 211–218.1 indexed citations
9.
Reeves, J. C., et al.. (1997). Detection of Tilletia indica in wheat and T. barclayana in rice samples and its implication for seed certification.. 153–158.1 indexed citations
10.
Vuurde, J.W.L. van, et al.. (1997). Immunofluorescence colony-staining as a tool for sample indexing and for the determination of field thresholds for pathogenic seedborne bacteria.. 165–173.4 indexed citations
11.
Schaad, N. W., et al.. (1997). BIO-PCR: a highly sensitive technique for detecting seedborne fungi and bacteria.. 159–164.8 indexed citations
12.
Mew, T. W., et al.. (1997). Developments in rice seed health testing policy.. 129–138.4 indexed citations
13.
Reeves, J. C., et al.. (1997). Development of a PCR-based test to detect and identify Pyrenophora spp.. 139–145.3 indexed citations
14.
Meijerink, G.W., et al.. (1997). The international seed health initiative.. 87–94.
15.
Alberts, E. E., et al.. (1997). Seedborne diseases in Australia and New Zealand.. 63–72.2 indexed citations
16.
Alvarez, Anne M., et al.. (1997). Comparison of serological and molecular methods for detection of Xanthomonas oryzae pv. oryzae in rice seed.. 175–183.3 indexed citations
17.
Reeves, J. C., et al.. (1997). Seed Health Testing: Progress Towards the 21st Century. Medical Entomology and Zoology.11 indexed citations
18.
Reeves, J. C., et al.. (1996). The incidence of races of Pseudomonas syringae pathovar pisi in UK pea (Pisum sativum) seed stocks, 1987-1994.. 9(1). 1–8.9 indexed citations
19.
Reeves, J. C., et al.. (1992). Polymerase chain reaction used in the development of a DNA probe to identify Erwinia stewartii, a bacterial pathogen of maize. Seed Science and Technology. 20(2). 331–335.8 indexed citations
20.
Roberts, S.J., et al.. (1991). Prevalence of pea bacterial blight in UK seed stocks, 1986-1990.. Aspects of applied biology. 327–332.2 indexed citations
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.