Xiuli Sim

525 citations
8 papers · 414 · h-index 8

Impact in

  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Diabetes and associated disorders
    • Genetics and Neurodevelopmental Disorders

Papers in

    • Platelet Disorders and Treatments 4
    • Blood groups and transfusion 1
    • Blood Coagulation and Thrombosis Mechanisms 1

Xiuli Sim

8 papers receiving 409 citations

Peers

Xiuli Sim
Comparison fields: 5 of 63
  • Hematology 166
  • Genetics 34
  • Biochemistry 18
  • Surgery 120
  • Molecular Biology 158
Replace Kenichi Harimoto with:
Kenichi Harimoto Japan
Shinji Hirata Japan
Sonia Poirault‐Chassac France
Hoàng Anh Vũ Vietnam
Verena Barocke Germany
Monica Battiston Italy
Huahua Fan China
Alexandre C. Zago Brazil
Patricia Flores-Guzmán Mexico
Marjolein Meinders Netherlands
Xiuli Sim relative to Kenichi Harimoto Japan Kenichi Harimoto's profile →
Citations per field
00.5×1.5×2×2.5×
Kenichi Harimoto · 1×
Citations per year

Countries citing papers authored by Xiuli Sim

Since Specialization
Citations

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

Fields of papers citing papers by Xiuli Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016105
2 201798
3 201568
4 201344
5 201730
6 201728
7 201421
8 201120

About Xiuli Sim

Xiuli Sim is a scholar working on Hematology, Cell Biology, Urology, Surgery and Genetics, having authored 8 papers that have together received 414 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (4 papers), Pancreatic function and diabetes (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (1 paper), Animal Genetics and Reproduction (1 paper), Diabetes and associated disorders (1 paper), Blood groups and transfusion (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Hematology (166 citations), Genetics (34 citations), Biochemistry (18 citations), Surgery (120 citations) and Molecular Biology (158 citations). Xiuli Sim has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Paul J. Gadue, Deborah L. French, Mortimer Poncz, Fabian Leonardo Cardenas-Diaz, Amita Tiyaboonchai, Lei Ying, Spencer K. Sullivan, Michael S. Marks, Siddharth Kishore and Danuta Jadwiga Jarocha. Their work appears in journals such as Blood, Stem Cell Reports, Stem Cell Research, Diabetes and Arteriosclerosis Thrombosis and Vascular Biology.

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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