R. K. S. Lim

1.5k total citations
19 papers, 890 citations indexed

About

R. K. S. Lim is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, R. K. S. Lim has authored 19 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Family Practice, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Physiology. Recurrent topics in R. K. S. Lim's work include Medication Adherence and Compliance (7 papers), Pain Mechanisms and Treatments (3 papers) and Heart Failure Treatment and Management (3 papers). R. K. S. Lim is often cited by papers focused on Medication Adherence and Compliance (7 papers), Pain Mechanisms and Treatments (3 papers) and Heart Failure Treatment and Management (3 papers). R. K. S. Lim collaborates with scholars based in United States, Taiwan and France. R. K. S. Lim's co-authors include F. Guzmán, Craig R. Braun, Andrea B. Troxel, David A. Asch, Jingsan Zhu, G. D. Potter, Kevin G. Volpp, Nancy Haff, Mitesh S. Patel and Kevin G. Volpp and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Life Sciences.

In The Last Decade

R. K. S. Lim

19 papers receiving 812 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. K. S. Lim United States 13 326 222 140 129 120 19 890
Jac Kee Low Australia 15 219 0.7× 143 0.6× 102 0.7× 152 1.2× 66 0.6× 29 873
Krzysztof Kus Poland 18 100 0.3× 318 1.4× 18 0.1× 106 0.8× 36 0.3× 108 1.1k
Reina J.A. de Kinderen Netherlands 15 340 1.0× 44 0.2× 33 0.2× 31 0.2× 57 0.5× 24 688
Glen L. Xiong United States 18 150 0.5× 43 0.2× 9 0.1× 107 0.8× 160 1.3× 67 1.2k
Paul R. Gard United Kingdom 18 74 0.2× 151 0.7× 21 0.1× 84 0.7× 57 0.5× 43 1.0k
Patrick Sullivan United States 12 234 0.7× 86 0.4× 7 0.1× 56 0.4× 100 0.8× 42 674
Lana Dixon United Kingdom 16 160 0.5× 90 0.4× 9 0.1× 70 0.5× 111 0.9× 46 1.1k
Mark Cobain United Kingdom 12 158 0.5× 176 0.8× 5 0.0× 30 0.2× 75 0.6× 18 906
Diogo Telles‐Correia Portugal 18 44 0.1× 50 0.2× 37 0.3× 64 0.5× 172 1.4× 91 1000
Marta Baviera Italy 20 56 0.2× 376 1.7× 34 0.2× 90 0.7× 39 0.3× 45 1.1k

Countries citing papers authored by R. K. S. Lim

Since Specialization
Citations

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

Fields of papers citing papers by R. K. S. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. K. S. Lim

This figure shows the co-authorship network connecting the top 25 collaborators of R. K. S. Lim. A scholar is included among the top collaborators of R. K. S. Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. K. S. Lim. R. K. S. Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Gopalan, Anjali, Pamela A. Shaw, R. K. S. Lim, et al.. (2019). Use of financial incentives and text message feedback to increase healthy food purchases in a grocery store cash back program: a randomized controlled trial. BMC Public Health. 19(1). 674–674. 4 indexed citations
2.
Mehta, Shivan J., Kevin G. Volpp, Andrea B. Troxel, et al.. (2019). Electronic Pill Bottles or Bidirectional Text Messaging to Improve Hypertension Medication Adherence (Way 2 Text): a Randomized Clinical Trial. Journal of General Internal Medicine. 34(11). 2397–2404. 19 indexed citations
3.
Kessler, Judd B., Andrea B. Troxel, David A. Asch, et al.. (2018). Partners and Alerts in Medication Adherence: A Randomized Clinical Trial. Journal of General Internal Medicine. 33(9). 1536–1542. 19 indexed citations
4.
Mehta, Shivan J., David A. Asch, Andrea B. Troxel, et al.. (2018). Comparison of Pharmacy Claims and Electronic Pill Bottles for Measurement of Medication Adherence Among Myocardial Infarction Patients. Medical Care. 57(2). e9–e14. 20 indexed citations
5.
Doshi, Jalpa A., et al.. (2017). Synchronized prescription refills and medication adherence: a retrospective claims analysis.. PubMed. 23(2). 98–104. 12 indexed citations
6.
Volpp, Kevin G., Andrea B. Troxel, Shivan J. Mehta, et al.. (2017). Effect of Electronic Reminders, Financial Incentives, and Social Support on Outcomes After Myocardial Infarction. JAMA Internal Medicine. 177(8). 1093–1093. 105 indexed citations
7.
Troxel, Andrea B., David A. Asch, Shivan J. Mehta, et al.. (2016). Rationale and design of a randomized trial of automated hovering for post–myocardial infarction patients: The HeartStrong program. American Heart Journal. 179. 166–174. 12 indexed citations
8.
Doshi, Jalpa A., et al.. (2016). A Synchronized Prescription Refill Program Improved Medication Adherence. Health Affairs. 35(8). 1504–1512. 38 indexed citations
9.
Lim, R. K. S., et al.. (2015). Effects of beta-blockers for congestive heart failure in pediatric and congenital heart disease patients: a meta-analysis of published studies.. PubMed. 63(6). 495–505. 8 indexed citations
10.
Haff, Nancy, Mitesh S. Patel, R. K. S. Lim, et al.. (2015). The Role of Behavioral Economic Incentive Design and Demographic Characteristics in Financial Incentive-Based Approaches to Changing Health Behaviors: A Meta-Analysis. American Journal of Health Promotion. 29(5). 314–323. 119 indexed citations
11.
Bachmanov, Alexander A., Kenji Maehashi, R. K. S. Lim, et al.. (2011). Sweet Taste Receptor Gene Variation and Aspartame Taste in Primates and Other Species. Chemical Senses. 36(5). 453–475. 30 indexed citations
12.
Kuo, J.S., et al.. (1970). Localization of central cardiovascular control mechanism in the brain stem of the monkey. Experimental Neurology. 29(1). 131–141. 8 indexed citations
13.
Lim, R. K. S., et al.. (1969). CENTRAL NERVOUS SYSTEM ACTIVITY ASSOCIATED WITH PAIN EVOKED BY BRADYKININ AND ITS ALTERATION BY MORPHINE AND ASPIRIN. Proceedings of the National Academy of Sciences. 63(3). 705–712. 16 indexed citations
14.
Lim, R. K. S., et al.. (1967). Pain and analgesia evaluated by the intraperitoneal bradykinin‐evoked pain method in man. Clinical Pharmacology & Therapeutics. 8(4). 521–542. 79 indexed citations
15.
Guzmán, F., et al.. (1965). The intraperitoneal bradykinin-evoked pain test for analgesia. Life Sciences. 4(21). 2063–2069. 11 indexed citations
16.
Guzmán, F., et al.. (1964). NARCOTIC AND NON-NARCOTIC ANALGESICS WHICH BLOCK VISCERAL PAIN EVOKED BY INTRA-ARTERIAL INJECTION OF BRADYKININ AND OTHER ALGESIC AGENTS.. PubMed. 149. 571–88. 72 indexed citations
17.
Lim, R. K. S., et al.. (1964). SITE OF ACTION OF NARCOTIC AND NON-NARCOTIC ANALGESICS DETERMINED BY BLOCKING BRADYKININ-EVOKED VISCERAL PAIN.. PubMed. 152. 25–58. 165 indexed citations
18.
Potter, G. D., F. Guzmán, & R. K. S. Lim. (1962). Visceral Pain evoked by Intra-Arterial Injection of Substance P. Nature. 193(4819). 983–984. 21 indexed citations
19.
Lim, R. K. S., et al.. (1960). Observations on the neuropharmacology of morphine and morphinelike analgesia.. PubMed. 125. 383–403. 132 indexed citations

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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