J. Riley

90 papers receiving 2.8k citations

J. Riley's Hit Papers

A novel, rapid method for the isolation of terminal sequences from yeast artificial chromosome (YAC) clones 1990 · 561 citations
5610+12+24Years since publication100200300400500

Peers

J. Riley
Comparison fields: 5 of 117
  • Parasitology 494
  • Small Animals 367
  • Ecology 1.0k
  • Genetics 568
  • Molecular Biology 1.1k
Replace Kimiyuki Tsuchiya with:
Kimiyuki Tsuchiya Japan
Roberta Martinelli Italy
Javier Martı́nez Spain
Frank W. Nicholas Australia
Naoki Arizono Japan
Desmond W. Cooper Australia
Josephine Bowles Australia
Jacob Adam Tennessen United States
Christoph Grunau France
Dennis L. Schmitt United States
J. Riley relative to Kimiyuki Tsuchiya Japan Kimiyuki Tsuchiya's profile →
Citations per field
00.5×2×3.3×
Kimiyuki Tsuchiya · 1×
Citations per year

Countries citing papers authored by J. Riley

Since Specialization
Citations

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

Fields of papers citing papers by J. Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel, rapid method for the isolation of terminal sequences from yeast artificial chromosome (YAC) clones
Hit paper breakdown →
1990561
2 1990188
3 2018157
4 1985138
5 2017106
6 201993
7 198889
8
Biologic effects of recombinant human interleukin-12 in squirrel monkeys (Sciureus saimiri).
199476
9 199070
10 201158
11 199058
12 199656
13 199155
14 200854
15 198149
16 198348
17 198042
18 198542
19 200539
20 200238

About J. Riley

J. Riley is a scholar working on Ecology, Small Animals, Parasitology, Animal Science and Zoology and Ecology, Evolution, Behavior and Systematics, having authored 91 papers that have together received 3.1k indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (49 papers), Helminth infection and control (22 papers), Coccidia and coccidiosis research (11 papers), Parasites and Host Interactions (9 papers), Bird parasitology and diseases (7 papers), Study of Mite Species (7 papers), Vector-borne infectious diseases (6 papers) and Insect and Arachnid Ecology and Behavior (5 papers). The work is most often cited by research in Parasitology (494 citations), Small Animals (367 citations), Ecology (1.0k citations), Genetics (568 citations) and Molecular Biology (1.1k citations). J. Riley has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include J. TEAGUE SELF, Alex Markham, Rakesh Anand, Rachel Butler, John C. Smith, Stephen Joseph Powell, Dominic C. Jenner, Donald Ogilvie, A. A. Banaja and Fritz W. Huchzermeyer. Their work appears in journals such as Parasitology, Nucleic Acids Research, Journal of Allergy and Clinical Immunology, Tissue and Cell and International Journal for Parasitology.

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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