David Sim

7.7k citations
43 papers · 1.5k · h-index 16

Impact in

Papers in

David Sim

40 papers receiving 1.5k citations

Peers

David Sim
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 865
  • Rheumatology 174
  • Family Practice 16
  • Hematology 88
  • Pulmonary and Respiratory Medicine 199
Replace Fazlur Jaufeerally with:
Fazlur Jaufeerally Singapore
Fernando Friões Portugal
Cathrine Wold Knudsen Norway
Marie Claude Aumont France
Robert J. Sapsford United Kingdom
Chun‐Po Steve Fan Canada
Omar F. AbouEzzeddine United States
Víctor Gil Portugal
Juan José Gómez‐Doblas Spain
Karin Strecker Austria
David Sim relative to Fazlur Jaufeerally Singapore Fazlur Jaufeerally's profile →
Citations per field
00.5×3.2×
Fazlur Jaufeerally · 1×
Citations per year

Countries citing papers authored by David Sim

Since Specialization
Citations

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

Fields of papers citing papers by David Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017235
2 2018199
3 2012163
4 2015142
5 2016112
6 2014105
7 201768
8 201764
9 201658
10 201348
11 201527
12 201726
13 201724
14 201920
15 202019
16 201216
17 201915
18 201615
19 201914
20 201613

About David Sim

David Sim is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Rheumatology, Surgery and Immunology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (17 papers), Cardiac pacing and defibrillation studies (4 papers), Cardiovascular Function and Risk Factors (4 papers), GDF15 and Related Biomarkers (3 papers), Galectins and Cancer Biology (2 papers), Pulmonary Hypertension Research and Treatments (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Potassium and Related Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (865 citations), Rheumatology (174 citations), Family Practice (16 citations), Hematology (88 citations) and Pulmonary and Respiratory Medicine (199 citations). David Sim has collaborated with scholars based in Singapore, New Zealand and Netherlands. Frequent co-authors include Fazlur Jaufeerally, Carolyn S.P. Lam, Lieng Hsi Ling, Hean Yee Ong, Mark Richards, Kui Toh Gerard Leong, Tze Pin Ng, Poh Shuan Daniel Yeo, Raymond Wong and Ping Chai. Their work appears in journals such as European Journal of Heart Failure, International Journal of Cardiology, Journal of Cardiac Failure, Heart and ESC Heart Failure.

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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