Robert Kemp

43 papers receiving 605 citations

Peers

Robert Kemp
Comparison fields: 5 of 107
  • Family Practice 34
  • Toxicology 40
  • Hepatology 67
  • Geriatrics and Gerontology 22
  • Epidemiology 173
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Anthony Matthews Sweden
A. Juarez-Garcia United Kingdom
Jean‐Paul Fagot France
Andrew Maguire United Kingdom
Siew Har Tan Singapore
Diana Brixner United States
Meenal Patwardhan United States
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Joel E. Segel United States
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Robert Kemp relative to Anthony Matthews Sweden Anthony Matthews's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Kemp

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017173
2 201445
3 202231
4
Injecting behaviours and prevalence of hepatitis B, C and D markers in New Zealand injecting drug user populations.
199827
5 201325
6 201625
7 201625
8 201623
9 201321
10
Cumulative incidence of hepatitis C seroconversion in a cohort of seronegative injecting drug users.
200018
11 201718
12 201318
13 201315
14 201315
15 201513
16 201711
17 199811
18 196210
19
Hepatitis services at an injecting drug user outreach clinic.
20019
20 20049

About Robert Kemp

Robert Kemp is a scholar working on Toxicology, Hepatology, Geriatrics and Gerontology, Epidemiology and Family Practice, having authored 45 papers that have together received 635 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (10 papers), Substance Abuse Treatment and Outcomes (8 papers), Forensic Toxicology and Drug Analysis (7 papers), Opioid Use Disorder Treatment (6 papers), Cannabis and Cannabinoid Research (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Hepatitis C virus research (5 papers) and Crime Patterns and Interventions (2 papers). The work is most often cited by research in Family Practice (34 citations), Toxicology (40 citations), Hepatology (67 citations), Geriatrics and Gerontology (22 citations) and Epidemiology (173 citations). Robert Kemp has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Vinay Prasad, Jake M. Najman, Andrew Smirnov, A. Dale Magoun, Xiaojun Wang, Helene Wells, Liam Downey, Chenghui Li, Julian Casciano and Kyle Crowder. Their work appears in journals such as Drug and Alcohol Review, International Journal of Drug Policy, The Lancet, BMC Pulmonary Medicine and Substance Use & Misuse.

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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