Benjamin J. Reading

2.7k citations
56 papers · 1.7k · h-index 25

Impact in

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

Papers in

Benjamin J. Reading

56 papers receiving 1.7k citations

Peers

Benjamin J. Reading
Comparison fields: 5 of 100
  • Physiology 869
  • Aquatic Science 804
  • Nature and Landscape Conservation 268
  • Genetics 573
  • Microbiology 87
Replace Glen E. Sweeney with:
Glen E. Sweeney United Kingdom
Jane E. Symonds New Zealand
Hidemi Kumai Japan
Haishen Wen China
Piotr Hliwa Poland
Alberta Mandich Italy
David C. Bencic United States
Takashi Hibiya Japan
Stefan Dobosz Poland
Masaki Nagae Japan
Benjamin J. Reading relative to Glen E. Sweeney United Kingdom Glen E. Sweeney's profile →
Citations per field
00.5×8.7×
Glen E. Sweeney · 1×
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 2015128
3 201893
4 200783
5 200879
6 201374
7 201472
8 201672
9 201654
10 201354
11 201553
12 201353
13 201247
14 201145
15 201445
16 201044
17 201044
18 201441
19 201339
20 201237

About Benjamin J. Reading

Benjamin J. Reading is a scholar working on Aquatic Science, Physiology, Genetics, Nature and Landscape Conservation and Molecular Biology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (30 papers), Aquaculture Nutrition and Growth (30 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (13 papers), Fish Ecology and Management Studies (11 papers), Aquaculture disease management and microbiota (9 papers), Physiological and biochemical adaptations (5 papers), Antimicrobial Peptides and Activities (4 papers) and Invertebrate Immune Response Mechanisms (4 papers). The work is most often cited by research in Physiology (869 citations), Aquatic Science (804 citations), Nature and Landscape Conservation (268 citations), Genetics (573 citations) and Microbiology (87 citations). Benjamin J. Reading has collaborated with scholars based in United States, Japan and Uganda. Frequent co-authors include Craig V. Sullivan, Naoshi Hiramatsu, Akihiko Hara, Justin Schilling, Robert Chapman, Takashi Todo, David A. Baltzegar, Yuji Mushirobira, Russell J. Borski and Hiroko Mizuta. Their work appears in journals such as BMC Genomics, General and Comparative Endocrinology, Indian Journal of Science and Technology, PLoS ONE and Aquaculture.

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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