Jingwei Sim

585 citations
11 papers · 436 · h-index 5

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Jingwei Sim

9 papers receiving 427 citations

Peers

Jingwei Sim
Comparison fields: 5 of 62
  • Cancer Research 178
  • Immunology 179
  • Biological Psychiatry 8
  • Biochemistry 23
  • Molecular Biology 217
Replace Alice Abélanet with:
Alice Abélanet France
Laxminarasimha Donthireddy United States
Song Wei China
Shakchhi Joshi United States
Hai‐Yu Mo China
Handan Xiang United States
Tiziana Piazza Italy
Emily Vucic United States
Chandrika Jeyamohan United States
Mariam Markouli Greece
Jingwei Sim relative to Alice Abélanet France Alice Abélanet's profile →
Citations per field
00.5×1.5×
Alice Abélanet · 1×
Citations per year

Countries citing papers authored by Jingwei Sim

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2016326
2 201864
3 202220
4 201714
5 20225
6 20222
7 20142
8
Assessment of small intestinal bacterial overgrowth in Alzheimer's disease.
20212
9 20221
10 20220
11 20220

About Jingwei Sim

Jingwei Sim is a scholar working on Molecular Biology, Cancer Research, Neurology, Internal Medicine and Complementary and alternative medicine, having authored 11 papers that have together received 436 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Neurological diseases and metabolism (1 paper), Ion channel regulation and function (1 paper), Urticaria and Related Conditions (1 paper), Hereditary Neurological Disorders (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Cancer Research (178 citations), Immunology (179 citations), Biological Psychiatry (8 citations), Biochemistry (23 citations) and Molecular Biology (217 citations). Jingwei Sim has collaborated with scholars based in Singapore, United Kingdom and Sweden. Frequent co-authors include Colin E. Evans, Petros A. Tyrakis, Asís Palazón, Randall S. Johnson, David Macías, Jia You, John R. Griffiths, Lorenz Poellinger, Anthony T. Phan and Ananda W. Goldrath. Their work appears in journals such as Cell Metabolism, The Journal of Physiology, Biology Open, Biomolecules and Dermatology.

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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