JEFF EVANS

18 papers receiving 369 citations

Peers

JEFF EVANS
Comparison fields: 5 of 79
  • Pharmacology 82
  • Toxicology 14
  • Genetics 83
  • Epidemiology 84
  • Endocrinology, Diabetes and Metabolism 33
Replace Hoi Y. Tong with:
Hoi Y. Tong Spain
N. Partovi Canada
Barbara Z. Terris United States
François Chast France
R. Hidalgo Spain
P Loizzi Italy
Tushar Shukla Canada
Naomi T. Jessurun Netherlands
Valentina Shakhnovich United States
JEFF EVANS relative to Hoi Y. Tong Spain Hoi Y. Tong's profile →
Citations per field
00.5×4.7×
Hoi Y. Tong · 1×
Citations per year

Countries citing papers authored by JEFF EVANS

Since Specialization
Citations

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

Fields of papers citing papers by JEFF EVANS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997167
2 199581
3 200748
4 200024
5 199723
6 20029
7
Potentially hazardous co-prescribing of beta-adrenoceptor antagonists and agonists in the community.
19968
8 20234
9 20184
10 19694
11
Doppler spectral broadening and anomalous vessel wall movement in the study of atherosclerosis of the carotid arteries.
19833
12
The discovery of Aotearoa
19982
13 20062
14
Maori Weapons in Pre-European New Zealand
20022
15 20221
16 20071
17 20021
18 20081
19 20100
20 20180

About JEFF EVANS

JEFF EVANS is a scholar working on Clinical Psychology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Oncology and Epidemiology, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Pediatric health and respiratory diseases (2 papers), CAR-T cell therapy research (2 papers), Pacific and Southeast Asian Studies (2 papers), Click Chemistry and Applications (1 paper), Advanced Causal Inference Techniques (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper), Autoimmune Bullous Skin Diseases (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Pharmacology (82 citations), Toxicology (14 citations), Genetics (83 citations), Epidemiology (84 citations) and Endocrinology, Diabetes and Metabolism (33 citations). JEFF EVANS has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Thomas M. MacDonald, Frank E. Murray, Alex D. McMahon, DG McDevitt, Andrew D. Morris, Karen Barnett, S. Ogston, G. White, D. G. McDevitt and Mark McGilchrist. Their work appears in journals such as Journal of Cystic Fibrosis, Psychotherapy and Psychosomatics, Pharmacoepidemiology and Drug Safety, Diabetologia and Blood.

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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