Derek Sim

620 citations
26 papers · 478 · h-index 11

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Hemophilia Treatment and Research 9
    • Blood Coagulation and Thrombosis Mechanisms 9
    • Platelet Disorders and Treatments 8
    • S100 Proteins and Annexins 2
    • Biochemical and Structural Characterization 2

Derek Sim

25 papers receiving 467 citations

Peers

Derek Sim
Comparison fields: 5 of 75
  • Hematology 230
  • Internal Medicine 38
  • Genetics 56
  • Immunology and Allergy 31
  • Cardiology and Cardiovascular Medicine 95
Replace Rene Pagila with:
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Derek Sim relative to Rene Pagila United States Rene Pagila's profile →
Citations per field
00.5×
Rene Pagila · 1×
Citations per year

Countries citing papers authored by Derek Sim

Since Specialization
Citations

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

Fields of papers citing papers by Derek Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200368
2 201154
3 201152
4 200248
5 200540
6 200738
7 201734
8 200431
9 200624
10 201412
11 200511
12 20219
13 20169
14 20039
15 20158
16 20187
17 20214
18 20154
19 20154
20
Biomarkers and Bioassays for Cardiovascular Diseases: Present and Future.
20084

About Derek Sim

Derek Sim is a scholar working on Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics and Genetics, having authored 26 papers that have together received 478 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (9 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Platelet Disorders and Treatments (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), S100 Proteins and Annexins (2 papers), Biochemical and Structural Characterization (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Acute Myocardial Infarction Research (2 papers). The work is most often cited by research in Hematology (230 citations), Internal Medicine (38 citations), Genetics (56 citations), Immunology and Allergy (31 citations) and Cardiology and Cardiovascular Medicine (95 citations). Derek Sim has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Robert Flaumenhaft, Barbara C. Furie, James R. Dilks, Glenn Merrill‐Skoloff, Bruce Furie, Katalin Kauser, Georgina S. Butler, Christopher M. Overall, Eric M. Tam and Dana V. Devine. Their work appears in journals such as Blood, Research and Practice in Thrombosis and Haemostasis, Proceedings of the National Academy of Sciences, Experimental Hematology and Blood Cells Molecules and Diseases.

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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