Natasha J. Sharp

566 citations
10 papers · 474 · h-index 10

Impact in

    • Aquaculture Nutrition and Growth
  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Bacteriophages and microbial interactions 4
    • Parasite Biology and Host Interactions 2
    • Bacillus and Francisella bacterial research 4

Natasha J. Sharp

10 papers receiving 441 citations

Peers

Natasha J. Sharp
Comparison fields: 5 of 48
  • Aquatic Science 124
  • Physiology 65
  • Ecology 286
  • Parasitology 40
  • Microbiology 29
Replace Hooman Rahmati‐Holasoo with:
Hooman Rahmati‐Holasoo Iran
Phillip Dettleff Chile
Gyri T. Haugland Norway
Jillian D. Westcott Canada
Rolf Nordmo Norway
TT Poppe Norway
M. Morand Poland
R. S. Raynard United Kingdom
Anita Rønneseth Norway
Vı́ctor Martı́nez Chile
Natasha J. Sharp relative to Hooman Rahmati‐Holasoo Iran Hooman Rahmati‐Holasoo's profile →
Citations per field
00.5×3.1×
Hooman Rahmati‐Holasoo · 1×
Citations per year

Countries citing papers authored by Natasha J. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Natasha J. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Natasha J. Sharp, 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 Natasha J. Sharp Line = papers co-authored together Natasha J. Sharp links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012110
2 2001105
3 200483
4 200343
5 201330
6 201629
7 201322
8 201520
9 201416
10 201716

About Natasha J. Sharp

Natasha J. Sharp is a scholar working on Ecology, Molecular Biology, Genetics, Aquatic Science and Clinical Biochemistry, having authored 10 papers that have together received 474 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Bacillus and Francisella bacterial research (4 papers), Fish Biology and Ecology Studies (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Parasite Biology and Host Interactions (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper) and Microbial Inactivation Methods (1 paper). The work is most often cited by research in Aquatic Science (124 citations), Physiology (65 citations), Ecology (286 citations), Parasitology (40 citations) and Microbiology (29 citations). Natasha J. Sharp has collaborated with scholars based in United States, New Zealand and Italy. Frequent co-authors include C. W. Poortenaar, David A. Schofield, Caroline Westwater, Simon H. Hooker, Trevor J. Willis, Ben K. Diggles, Ian J. Molineux, Martin A. Page, Chythanya Rajanna and George C. Stewart. Their work appears in journals such as Aquaculture, Journal of Microbiological Methods, Journal of Clinical Microbiology, Physiological Genomics and New Zealand Journal of Marine and Freshwater Research.

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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