N J Sharp

20 papers receiving 872 citations

Peers

N J Sharp
Comparison fields: 5 of 67
  • Small Animals 491
  • Equine 33
  • Microbiology 14
  • Pathology and Forensic Medicine 169
  • Endocrinology, Diabetes and Metabolism 157
Replace C. Reymundo with:
C. Reymundo Spain
Michael S. Henson United States
CS Lee Australia
Kazumi Nibe Japan
Hiroshi Hachisuka Japan
Е. Witebsky United States
J. C. Poirier France
Helen Jessop United Kingdom
Eduardo Finger United States
Deborah M. Fine United States
N J Sharp relative to C. Reymundo Spain C. Reymundo's profile →
Citations per field
00.5×4.8×
C. Reymundo · 1×
Citations per year

Countries citing papers authored by N J Sharp

Since Specialization
Citations

This map shows the geographic impact of N 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 N 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 N J Sharp more than expected).

Fields of papers citing papers by N J Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2003236
2
A dominant negative mutant of the insulin-like growth factor-I receptor inhibits the adhesion, invasion, and metastasis of breast cancer.
1998234
3 200487
4 198381
5 199155
6 199945
7 201436
8
Characterization of canine MDR1 mRNA: its abundance in drug resistant cell lines and in vivo.
199826
9 199125
10 200913
11 201313
12
Dysautonomia in a cat.
198813
13 198113
14 201110
15 20057
16 19976
17 19884
18 19903
19 20081
20
Feline dysautonomia.
19901

About N J Sharp

N J Sharp is a scholar working on Small Animals, Pulmonary and Respiratory Medicine, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 909 indexed citations. Recurring topics across this work include Veterinary Orthopedics and Neurology (5 papers), Infectious Diseases and Mycology (4 papers), Neurological diseases and metabolism (4 papers), Veterinary Oncology Research (4 papers), Mycobacterium research and diagnosis (3 papers), Hereditary Neurological Disorders (3 papers), Muscle Physiology and Disorders (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Small Animals (491 citations), Equine (33 citations), Microbiology (14 citations), Pathology and Forensic Medicine (169 citations) and Endocrinology, Diabetes and Metabolism (157 citations). N J Sharp has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Natasha J. Olby, Tonya Harris, Karen R. Muñana, J. V. DAVIES, Jay F. Levine, Sandra E. Dunn, Renato Baserga, Melanie Ehrlich, Krzysztof Reiss and R A Hawkins. Their work appears in journals such as Medical Mycology, Journal of Small Animal Practice, Journal of the American Veterinary Medical Association, Journal of Neurotrauma and Advances in experimental medicine and biology.

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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