K. Beard

12 papers receiving 315 citations

Peers

K. Beard
Comparison fields: 5 of 65
  • Applied Microbiology and Biotechnology 49
  • Pharmacology 88
  • Geriatrics and Gerontology 11
  • Cardiology and Cardiovascular Medicine 58
  • Clinical Biochemistry 13
Replace Lana Nežić with:
Lana Nežić Bosnia and Herzegovina
Glynn Morrish Australia
Jina Jung South Korea
Koichiro Atsuda Japan
Helen Vosper United Kingdom
Shaun S. Kumar United States
Ronilda D’Cunha United States
Nihal El Rouby United States
Qianzhou Lv China
Eva María Sáez Fernández Spain
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Citations per field
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Lana Nežić · 1×
Citations per year

Countries citing papers authored by K. Beard

Since Specialization
Citations

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

Fields of papers citing papers by K. Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Sulindac metabolites induce caspase- and proteasome-dependent degradation of beta-catenin protein in human colon cancer cells.
200394
2 199273
3 200756
4 200437
5
Sulindac sulfide inhibits epidermal growth factor-induced phosphorylation of extracellular-regulated kinase 1/2 and Bad in human colon cancer cells.
200332
6 200618
7 20015
8 19985
9 19854
10 19852
11
BSAVA 53rd Annual Congress 2010, Scientific Proceedings, Veterinary Programme, Birmingham, UK, 8-11 April 2010.
20101
12
BSAVA Congress 2010: Scientific Proceedings : Veterinary Programme
20101

About K. Beard

K. Beard is a scholar working on Molecular Biology, Pharmacology, General Health Professions, Endocrinology, Diabetes and Metabolism and Economics and Econometrics, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Healthcare Policy and Management (2 papers), Global Health Care Issues (2 papers), Cardiovascular Syncope and Autonomic Disorders (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (49 citations), Pharmacology (88 citations), Geriatrics and Gerontology (11 citations), Cardiology and Cardiovascular Medicine (58 citations) and Clinical Biochemistry (13 citations). K. Beard has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Pamela L. Rice, Dennis J. Ahnen, K O'Malley, CJ Bulpitt, Steven Webb, Peter Sever, Holly Sullivan, Scott K. Kuwada, Gary A. Piazza and Dennis J. Ahnen. Their work appears in journals such as Cancer Research, Postgraduate Medical Journal, Molecular Cancer Therapeutics, Infection and Immunity and Pharmacoepidemiology and Drug Safety.

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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