Sim Leng Tien

721 citations
40 papers · 441 · h-index 12

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 4
    • Hemophilia Treatment and Research 3
    • Blood Coagulation and Thrombosis Mechanisms 3

Sim Leng Tien

39 papers receiving 426 citations

Peers

Sim Leng Tien
Comparison fields: 5 of 64
  • Hematology 112
  • Management of Technology and Innovation 36
  • Genetics 44
  • Biochemistry 24
  • Biotechnology 29
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Citations per field
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Citations per year

Countries citing papers authored by Sim Leng Tien

Since Specialization
Citations

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

Fields of papers citing papers by Sim Leng Tien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200858
2 201647
3
Main causes of pre-donation deferral of prospective blood donors in the Singapore Blood Transfusion Service.
199339
4 200530
5 200330
6 200628
7 200427
8 200421
9 201015
10 202114
11 201313
12 200211
13 20039
14 20107
15
Holoprosencephaly: an antenatally-diagnosed case series and subject review.
20087
16 19997
17 20086
18 20136
19 20146
20
Synovial sarcoma of the kidney: a report of 4 cases with pathologic appraisal and differential diagnostic review.
20106

About Sim Leng Tien

Sim Leng Tien is a scholar working on Hematology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 40 papers that have together received 441 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Hemophilia Treatment and Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Hematology (112 citations), Management of Technology and Innovation (36 citations), Genetics (44 citations), Biochemistry (24 citations) and Biotechnology (29 citations). Sim Leng Tien has collaborated with scholars based in Singapore, United Kingdom and Nigeria. Frequent co-authors include Tse Hui Lim, Alvin Soon Tiong Lim, Jimmy Lim, Aye Aye Thike, Mickey Koh, Puay Hoon Tan, Chong Hee Lim, D. Teo, Ai Leen Ang and Liam Pock Ho. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Human Gene Therapy, Bone Marrow Transplantation, Haemophilia and International Journal of Hematology.

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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