Tania Tan

458 citations
8 papers · 172 · h-index 6

Impact in

    • Cell Image Analysis Techniques
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Single-cell and spatial transcriptomics 4
    • Signaling Pathways in Disease 1
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Phagocytosis and Immune Regulation 1

Tania Tan

8 papers receiving 171 citations

Peers

Tania Tan
Comparison fields: 5 of 45
  • Biophysics 19
  • Immunology 68
  • Hematology 28
  • Molecular Biology 115
  • Aging 2
Replace Jesús Alfonso López Sotélo with:
Jesús Alfonso López Sotélo Colombia
Alexander T. Heubeck United States
Marcus Danielsson Sweden
Vakul Mohanty United States
John D. Huck United States
Anna Ringler Austria
Veronica Zanon Italy
Zumana Khair United States
Valerio Ciaurro United States
Anusha Bharadwaj United States
Tania Tan relative to Jesús Alfonso López Sotélo Colombia Jesús Alfonso López Sotélo's profile →
Citations per field
00.5×10×15×20×
Jesús Alfonso López Sotélo · 1×
Citations per year

Countries citing papers authored by Tania Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tania Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201873
2 202025
3 202021
4 202020
5 202215
6 202215
7 20222
8 20211

About Tania Tan

Tania Tan is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 8 papers that have together received 172 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), Signaling Pathways in Disease (1 paper), Cell Image Analysis Techniques (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Biophysics (19 citations), Immunology (68 citations), Hematology (28 citations), Molecular Biology (115 citations) and Aging (2 citations). Tania Tan has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Stephen L. Nutt, Rhys S. Allan, Hannah D. Coughlan, Timothy M. Johanson, Gordon K. Smyth, Aaron T. L. Lun, Charis E. Teh, Daniel H.D. Gray, David C.S. Huang and Marie Trussart. Their work appears in journals such as Science Immunology, Leukemia, Nature Immunology, eLife and Blood Advances.

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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