Jon J Ryder

2.2k total citations · 1 hit paper
14 papers, 1.6k citations indexed

About

Jon J Ryder is a scholar working on Pathology and Forensic Medicine, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jon J Ryder has authored 14 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Genetics and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jon J Ryder's work include Meta-analysis and systematic reviews (3 papers), Cancer Risks and Factors (2 papers) and Animal Behavior and Reproduction (2 papers). Jon J Ryder is often cited by papers focused on Meta-analysis and systematic reviews (3 papers), Cancer Risks and Factors (2 papers) and Animal Behavior and Reproduction (2 papers). Jon J Ryder collaborates with scholars based in United Kingdom, Ireland and United States. Jon J Ryder's co-authors include Fujian Song, Lee Hooper, I. Harvey, Alex J. Sutton, Caroline Hing, Chun Pang, Chun Shing Kwok, Susan Parekh, Michael T. Siva‐Jothy and Simon Donell and has published in prestigious journals such as Journal of Clinical Epidemiology, Annals of the Rheumatic Diseases and Oikos.

In The Last Decade

Jon J Ryder

14 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dissemination and publication of research findings: an updated review of related biases

2010 715 citations Fujian Song, Susan Parekh et al. Health Technology Assessment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jon J Ryder United Kingdom	11	361	241	209	191	168	14	1.6k
A. N Phillips United Kingdom	6	212 0.6×	192 0.8×	100 0.5×	119 0.6×	267 1.6×	7	2.1k
Bernd Röhrig Germany	24	99 0.3×	219 0.9×	57 0.3×	105 0.5×	209 1.2×	54	2.0k
Santiago G. Moreno United Kingdom	16	256 0.7×	118 0.5×	94 0.4×	30 0.2×	264 1.6×	33	1.4k
Susan Parekh United Kingdom	17	307 0.9×	230 1.0×	14 0.1×	130 0.7×	94 0.6×	43	1.4k
Farrokh Habibzadeh Iran	16	182 0.5×	147 0.6×	38 0.2×	34 0.2×	101 0.6×	80	1.2k
Augusto Azuara‐Blanco United Kingdom	39	60 0.2×	1.7k 7.0×	432 2.1×	288 1.5×	253 1.5×	225	6.5k
Michael Haber United States	19	171 0.5×	78 0.3×	20 0.1×	87 0.5×	167 1.0×	33	1.7k
Carl V. Phillips United States	18	91 0.3×	118 0.5×	24 0.1×	51 0.3×	188 1.1×	40	1.0k
Aaron M. Drucker Canada	33	36 0.1×	180 0.7×	131 0.6×	37 0.2×	144 0.9×	138	3.9k
Mette Brandt Eriksen Denmark	12	60 0.2×	226 0.9×	34 0.2×	44 0.2×	127 0.8×	28	1.2k

Countries citing papers authored by Jon J Ryder

Since Specialization

Citations

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

Fields of papers citing papers by Jon J Ryder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon J Ryder

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Ram, Saravanan, et al.. (2016). The efficacy of botulinum toxin for the treatment of trigeminal and postherpetic neuralgia: a systematic review with meta-analyses. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 122(1). 61–71. 39 indexed citations

Ryder, Jon J, et al.. (2015). The role of host phenology in determining the incidence of an insect sexually transmitted infection. Oikos. 125(5). 636–643. 4 indexed citations

Bermingham, Mairead L., Steve Bishop, J.A. Woolliams, et al.. (2014). Genome-wide association study identifies novel loci associated with resistance to bovine tuberculosis. Heredity. 112(5). 543–551. 81 indexed citations

Song, Fujian, Susan Parekh, Lee Hooper, et al.. (2010). Dissemination and publication of research findings: an updated review of related biases. Health Technology Assessment. 14(8). iii, ix–xi, 1. 715 indexed citations breakdown →

Kwok, Chun Shing, Chun Pang, Lee Hooper, et al.. (2010). Uptake of methods to deal with publication bias in systematic reviews has increased over time, but there is still much scope for improvement. Journal of Clinical Epidemiology. 64(4). 349–357. 39 indexed citations

Hooper, Lee, Jon J Ryder, Mindy S. Kurzer, et al.. (2009). Effects of soy protein and isoflavones on circulating hormone concentrations in pre- and post-menopausal women: a systematic review and meta-analysis. Human Reproduction Update. 15(4). 423–440. 151 indexed citations

Song, Fujian, Lee Hooper, Yoon K. Loke, et al.. (2009). Extent of publication bias in different categories of research cohorts: a meta-analysis of empirical studies. BMC Medical Research Methodology. 9(1). 79–79. 125 indexed citations

Hooper, Lee, Jon J Ryder, Mindy S. Kurzer, et al.. (2009). Reply: Effects of soy protein and isoflavones on circulating hormone concentrations in pre- and post-menopausal women: a systematic review and meta-analysis. Human Reproduction Update. 16(1). 111–112. 1 indexed citations

Ryder, Jon J, Feng Song, Lee Hooper, et al.. (2007). Genetic associations in peripheral joint osteoarthritis and spinal degenerative disease: a systematic review. Annals of the Rheumatic Diseases. 67(5). 584–591. 56 indexed citations

10.

Donell, Simon, Jon J Ryder, Ian Shemilt, et al.. (2007). Clinical effectiveness and cost-effectiveness of bone morphogenetic proteins in the non-healing of fractures and spinal fusion: a systematic review. Health Technology Assessment. 11(30). 1–150, iii. 267 indexed citations

11.

Ryder, Jon J & Christine T. Griffin. (2003). Phased infectivity in Heterorhabditis megidis: the effects of infection density in the parental host and filial generation. International Journal for Parasitology. 33(10). 1013–1018. 14 indexed citations

12.

Ryder, Jon J & Christine T. Griffin. (2002). Density-dependent fecundity and infective juvenile production in the entomopathogenic nematode, Heterorhabditis megidis. Parasitology. 125(1). 83–92. 16 indexed citations

13.

Siva‐Jothy, Michael T. & Jon J Ryder. (2001). Assaying PHA‐induced mitosis: out of control?. Functional Ecology. 15(6). 813–814. 8 indexed citations

14.

Ryder, Jon J & Michael T. Siva‐Jothy. (2001). Quantitative genetics of immune function and body size in the house cricket, Acheta domesticus. Journal of Evolutionary Biology. 14(4). 646–653. 67 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.

Explore authors with similar magnitude of impact