Benjamin J. Reading

2.6k citations
52 papers · 1.4k · h-index 23

Impact in

  • Physiology top 0.2%
    • Reproductive biology and impacts on aquatic species
    • Aquaculture Nutrition and Growth

Papers in

Benjamin J. Reading

51 papers receiving 1.4k citations

Peers

Benjamin J. Reading
Comparison fields: 5 of 94
  • Physiology 701
  • Aquatic Science 660
  • Genetics 524
  • Nature and Landscape Conservation 201
  • Microbiology 85
Replace Glen E. Sweeney with:
Glen E. Sweeney United Kingdom
Jane E. Symonds New Zealand
Haishen Wen China
Hidemi Kumai Japan
Alberta Mandich Italy
David C. Bencic United States
Piotr Hliwa Poland
Bill A. Simco United States
Martin S. Fitzpatrick United States
Satomi Kohno United States
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Citations per field
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Citations per year

Countries citing papers authored by Benjamin J. Reading

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Reading

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 2015122
3 201881
4 200775
5 201371
6 200869
7 201464
8 201652
9 201351
10 201349
11 201247
12 201547
13 201043
14 201441
15 201040
16 201337
17 201235
18 201434
19 201827
20 201326

About Benjamin J. Reading

Benjamin J. Reading is a scholar working on Aquatic Science, Physiology, Genetics, Molecular Biology and Nature and Landscape Conservation, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (27 papers), Aquaculture Nutrition and Growth (27 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers), Fish Ecology and Management Studies (10 papers), Aquaculture disease management and microbiota (9 papers), Physiological and biochemical adaptations (5 papers), Invertebrate Immune Response Mechanisms (4 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Physiology (701 citations), Aquatic Science (660 citations), Genetics (524 citations), Nature and Landscape Conservation (201 citations) and Microbiology (85 citations). Benjamin J. Reading has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Craig V. Sullivan, Naoshi Hiramatsu, Akihiko Hara, Robert Chapman, Takashi Todo, David A. Baltzegar, Yuji Mushirobira, Russell J. Borski, Hiroko Mizuta and Wenshu Luo. Their work appears in journals such as Indian Journal of Science and Technology, Aquaculture, General and Comparative Endocrinology, BMC Genomics and PLoS ONE.

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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