Sherlly Lim

400 citations
4 papers · 137 · h-index 4

Impact in

    • Adenosine and Purinergic Signaling
    • Calcium signaling and nucleotide metabolism
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • Chemokine receptors and signaling 1
    • CAR-T cell therapy research 1
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 1
    • Immune cells in cancer 1

Sherlly Lim

4 papers receiving 136 citations

Peers

Sherlly Lim
Comparison fields: 5 of 31
  • Physiology 24
  • Oncology 83
  • Immunology 54
  • Cancer Research 17
  • Geriatrics and Gerontology 3
Replace Tuba Banaz with:
Tuba Banaz United States
Manon van der Ploeg Netherlands
Auriole Tamegnon United States
Georgi N. Yordanov United States
Jacqueline H. Starrett United States
Rasmus Peuliche Vogelsang Denmark
Christopher Del Nagro France
Harrah Chiang United States
Patricia Lorenzini United States
Katarzyna Anna Baranowska Norway
Sherlly Lim relative to Tuba Banaz United States Tuba Banaz's profile →
Citations per field
00.5×3.4×
Tuba Banaz · 1×
Citations per year

Countries citing papers authored by Sherlly Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sherlly Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About Sherlly Lim

Sherlly Lim is a scholar working on Oncology, Immunology, Physiology, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 137 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers), Adenosine and Purinergic Signaling (1 paper), Chemokine receptors and signaling (1 paper), Immune Cell Function and Interaction (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Immune cells in cancer (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Physiology (24 citations), Oncology (83 citations), Immunology (54 citations), Cancer Research (17 citations) and Geriatrics and Gerontology (3 citations). Sherlly Lim has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Joe Yeong, Jeffrey Chun Tatt Lim, Lisda Suteja, Xinru Lim, Angela Takano, Yannick Simoni, Eng Huat Tan, Aaron C. Tan, Daniel S.W. Tan and Tony Kiat Hon Lim. Their work appears in journals such as Cancers, Cells, Frontiers in Immunology and Journal of Thoracic Oncology.

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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